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Normalized Top-100 Security Papers

This webpage is an attempt to assemble a ranking of top-cited papers from the area of computer security. The ranking has been created based on citations of papers published at top security conferences. More details are available here.

Absolute citations are not necessarily a good indicator for the impact of a paper, as the number of citations usually grows with the age of a paper. The following list shows an alternative ranking, where the citations are normalized by the age of each paper.

Top 100 papers normalized by age ⌄

  1. 1
    Nicholas Carlini and David A. Wagner:
    Towards Evaluating the Robustness of Neural Networks.
    IEEE Symposium on Security and Privacy (S&P), 2017
    8716 cites at Google Scholar
    6413% above average of year
    Last visited: Feb-2024
    Paper: DOI
  2. 2
    Nicholas Carlini, Jamie Hayes, Milad Nasr, Matthew Jagielski, Vikash Sehwag, Florian Tramèr, Borja Balle, Daphne Ippolito, and Eric Wallace:
    Extracting Training Data from Diffusion Models.
    USENIX Security Symposium, 2023
    213 cites at Google Scholar
    5094% above average of year
    Last visited: Feb-2024
    Paper: DOI
  3. 3
    Mihir Bellare and Phillip Rogaway:
    Random Oracles are Practical: A Paradigm for Designing Efficient Protocols.
    ACM Conference on Computer and Communications Security (CCS), 1993
    6433 cites at Google Scholar
    4342% above average of year
    Last visited: Feb-2024
    Paper: DOI
  4. 4
    Martín Abadi, Andy Chu, Ian J. Goodfellow, H. Brendan McMahan, Ilya Mironov, Kunal Talwar, and Li Zhang:
    Deep Learning with Differential Privacy.
    ACM Conference on Computer and Communications Security (CCS), 2016
    5554 cites at Google Scholar
    3362% above average of year
    Last visited: Feb-2024
    Paper: DOI
  5. 5
    Nicholas Carlini, Florian Tramèr, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom B. Brown, Dawn Song, Úlfar Erlingsson, Alina Oprea, and Colin Raffel:
    Extracting Training Data from Large Language Models.
    USENIX Security Symposium, 2021
    1041 cites at Google Scholar
    3316% above average of year
    Last visited: Feb-2024
    Paper: DOI
  6. 6
    Vipul Goyal, Omkant Pandey, Amit Sahai, and Brent Waters:
    Attribute-based encryption for fine-grained access control of encrypted data.
    ACM Conference on Computer and Communications Security (CCS), 2006
    6973 cites at Google Scholar
    3275% above average of year
    Last visited: Feb-2024
    Paper: DOI
  7. 7
    Paul Kocher, Jann Horn, Anders Fogh, Daniel Genkin, Daniel Gruss, Werner Haas, Mike Hamburg, Moritz Lipp, Stefan Mangard, Thomas Prescher, Michael Schwarz, and Yuval Yarom:
    Spectre Attacks: Exploiting Speculative Execution.
    IEEE Symposium on Security and Privacy (S&P), 2019
    2757 cites at Google Scholar
    3218% above average of year
    Last visited: Feb-2024
    Paper: DOI
  8. 8
    John Bethencourt, Amit Sahai, and Brent Waters:
    Ciphertext-Policy Attribute-Based Encryption.
    IEEE Symposium on Security and Privacy (S&P), 2007
    6704 cites at Google Scholar
    2965% above average of year
    Last visited: Mar-2024
    Paper: DOI
  9. 9
    Stephanie Forrest, Alan S. Perelson, Lawrence Allen, and Rajesh Cherukuri:
    Self-nonself discrimination in a computer.
    IEEE Symposium on Security and Privacy (S&P), 1994
    3233 cites at Google Scholar
    2942% above average of year
    Last visited: Feb-2024
    Paper: DOI
  10. 10
    D. F. C. Brewer and Michael J. Nash:
    The Chinese Wall Security Policy.
    IEEE Symposium on Security and Privacy (S&P), 1989
    1505 cites at Google Scholar
    2905% above average of year
    Last visited: Feb-2024
    Paper: DOI
  11. 11
    Linyi Li, Tao Xie, and Bo Li:
    SoK: Certified Robustness for Deep Neural Networks.
    IEEE Symposium on Security and Privacy (S&P), 2023
    122 cites at Google Scholar
    2875% above average of year
    Last visited: Feb-2024
    Paper: DOI
  12. 12
    Reza Shokri, Marco Stronati, Congzheng Song, and Vitaly Shmatikov:
    Membership Inference Attacks Against Machine Learning Models.
    IEEE Symposium on Security and Privacy (S&P), 2017
    3937 cites at Google Scholar
    2842% above average of year
    Last visited: Feb-2024
    Paper: DOI
  13. 13
    Maurice Weber, Xiaojun Xu, Bojan Karlas, Ce Zhang, and Bo Li:
    RAB: Provable Robustness Against Backdoor Attacks.
    IEEE Symposium on Security and Privacy (S&P), 2023
    116 cites at Google Scholar
    2729% above average of year
    Last visited: Feb-2024
    Paper: DOI
  14. 14
    Nicolas Papernot, Patrick D. McDaniel, Somesh Jha, Matt Fredrikson, Z. Berkay Celik, and Ananthram Swami:
    The Limitations of Deep Learning in Adversarial Settings.
    IEEE European Symposium on Security and Privacy (EuroS&P), 2016
    4500 cites at Google Scholar
    2705% above average of year
    Last visited: Feb-2024
    Paper: DOI
  15. 15
    Dawn Xiaodong Song, David A. Wagner, and Adrian Perrig:
    Practical Techniques for Searches on Encrypted Data.
    IEEE Symposium on Security and Privacy (S&P), 2000
    4926 cites at Google Scholar
    2700% above average of year
    Last visited: Mar-2024
    Paper: DOI
  16. 16
    Steven M. Bellovin and Michael Merritt:
    Encrypted key exchange: password-based protocols secure against dictionary attacks.
    IEEE Symposium on Security and Privacy (S&P), 1992
    2205 cites at Google Scholar
    2655% above average of year
    Last visited: Feb-2024
    Paper: DOI
  17. 17
    Franziska Boenisch, Adam Dziedzic, Roei Schuster, Ali Shahin Shamsabadi, Ilia Shumailov, and Nicolas Papernot:
    When the Curious Abandon Honesty: Federated Learning Is Not Private.
    IEEE European Symposium on Security and Privacy (EuroS&P), 2023
    108 cites at Google Scholar
    2534% above average of year
    Last visited: Feb-2024
    Paper: DOI
  18. 18
    Roger Dingledine, Nick Mathewson, and Paul F. Syverson:
    Tor: The Second-Generation Onion Router.
    USENIX Security Symposium, 2004
    5855 cites at Google Scholar
    2433% above average of year
    Last visited: Feb-2024
    Paper: DOI
  19. 19
    Hammond Pearce, Benjamin Tan, Baleegh Ahmad, Ramesh Karri, and Brendan Dolan-Gavitt:
    Examining Zero-Shot Vulnerability Repair with Large Language Models.
    IEEE Symposium on Security and Privacy (S&P), 2023
    94 cites at Google Scholar
    2192% above average of year
    Last visited: Feb-2024
    Paper: DOI
  20. 20
    Nicholas Carlini, Steve Chien, Milad Nasr, Shuang Song, Andreas Terzis, and Florian Tramèr:
    Membership Inference Attacks From First Principles.
    IEEE Symposium on Security and Privacy (S&P), 2022
    324 cites at Google Scholar
    2188% above average of year
    Last visited: Mar-2024
    Paper: DOI
  21. 21
    Nicolas Papernot, Patrick D. McDaniel, Xi Wu, Somesh Jha, and Ananthram Swami:
    Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks.
    IEEE Symposium on Security and Privacy (S&P), 2016
    3424 cites at Google Scholar
    2034% above average of year
    Last visited: Feb-2024
    Paper: DOI
  22. 22
    Vern Paxson:
    Bro: A System for Detecting Network Intruders in Real-Time.
    USENIX Security Symposium, 1998
    4043 cites at Google Scholar
    2011% above average of year
    Last visited: Feb-2024
    Paper: DOI
  23. 23
    Matt Fredrikson, Somesh Jha, and Thomas Ristenpart:
    Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures.
    ACM Conference on Computer and Communications Security (CCS), 2015
    2826 cites at Google Scholar
    2009% above average of year
    Last visited: Mar-2024
    Paper: DOI
  24. 24
    Matt Blaze, Joan Feigenbaum, and Jack Lacy:
    Decentralized Trust Management.
    IEEE Symposium on Security and Privacy (S&P), 1996
    3454 cites at Google Scholar
    2001% above average of year
    Last visited: Mar-2024
    Paper: DOI
  25. 25
    Laurent Eschenauer and Virgil D. Gligor:
    A key-management scheme for distributed sensor networks.
    ACM Conference on Computer and Communications Security (CCS), 2002
    5525 cites at Google Scholar
    1944% above average of year
    Last visited: Jan-2024
    Paper: DOI
  26. 26
    Kallista A. Bonawitz, Vladimir Ivanov, Ben Kreuter, Antonio Marcedone, H. Brendan McMahan, Sarvar Patel, Daniel Ramage, Aaron Segal, and Karn Seth:
    Practical Secure Aggregation for Privacy-Preserving Machine Learning.
    ACM Conference on Computer and Communications Security (CCS), 2017
    2695 cites at Google Scholar
    1914% above average of year
    Last visited: Feb-2024
    Paper: DOI
  27. 27
    Li Gong, Roger M. Needham, and Raphael Yahalom:
    Reasoning about Belief in Cryptographic Protocols.
    IEEE Symposium on Security and Privacy (S&P), 1990
    1041 cites at Google Scholar
    1891% above average of year
    Last visited: Feb-2024
    Paper: DOI
  28. 28
    Arvind Narayanan and Vitaly Shmatikov:
    Robust De-anonymization of Large Sparse Datasets.
    IEEE Symposium on Security and Privacy (S&P), 2008
    3234 cites at Google Scholar
    1860% above average of year
    Last visited: Feb-2024
    Paper: DOI
  29. 29
    Yi Zeng, Minzhou Pan, Hoang Anh Just, Lingjuan Lyu, Meikang Qiu, and Ruoxi Jia:
    Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information.
    ACM Conference on Computer and Communications Security (CCS), 2023
    79 cites at Google Scholar
    1826% above average of year
    Last visited: Feb-2024
    Paper: DOI
  30. 30
    Daniel Arp, Michael Spreitzenbarth, Malte Hubner, Hugo Gascon, and Konrad Rieck:
    DREBIN: Effective and Explainable Detection of Android Malware in Your Pocket.
    Network and Distributed System Security Symposium (NDSS), 2014
    2665 cites at Google Scholar
    1787% above average of year
    Last visited: Feb-2024
    Paper: DOI
  31. 31
    Yao Liu, Michael K. Reiter, and Peng Ning:
    False data injection attacks against state estimation in electric power grids.
    ACM Conference on Computer and Communications Security (CCS), 2009
    3543 cites at Google Scholar
    1772% above average of year
    Last visited: Mar-2024
    Paper: DOI
  32. 32
    Stephanie Forrest, Steven A. Hofmeyr, Anil Somayaji, and Thomas A. Longstaff:
    A Sense of Self for Unix Processes.
    IEEE Symposium on Security and Privacy (S&P), 1996
    3072 cites at Google Scholar
    1768% above average of year
    Last visited: Mar-2024
    Paper: DOI
  33. 33
    Ahmed E. Kosba, Andrew Miller, Elaine Shi, Zikai Wen, and Charalampos Papamanthou:
    Hawk: The Blockchain Model of Cryptography and Privacy-Preserving Smart Contracts.
    IEEE Symposium on Security and Privacy (S&P), 2016
    2985 cites at Google Scholar
    1761% above average of year
    Last visited: Mar-2024
    Paper: DOI
  34. 34
    Reza Shokri and Vitaly Shmatikov:
    Privacy-Preserving Deep Learning.
    ACM Conference on Computer and Communications Security (CCS), 2015
    2468 cites at Google Scholar
    1741% above average of year
    Last visited: Feb-2024
    Paper: DOI
  35. 35
    Yajin Zhou and Xuxian Jiang:
    Dissecting Android Malware: Characterization and Evolution.
    IEEE Symposium on Security and Privacy (S&P), 2012
    2993 cites at Google Scholar
    1733% above average of year
    Last visited: Mar-2024
    Paper: DOI
  36. 36
    Giuseppe Ateniese, Randal C. Burns, Reza Curtmola, Joseph Herring, Lea Kissner, Zachary N. J. Peterson, and Dawn Xiaodong Song:
    Provable data possession at untrusted stores.
    ACM Conference on Computer and Communications Security (CCS), 2007
    3964 cites at Google Scholar
    1712% above average of year
    Last visited: Feb-2024
    Paper: DOI
  37. 37
    Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, and Konrad Rieck:
    Dos and Don'ts of Machine Learning in Computer Security.
    USENIX Security Symposium, 2022
    248 cites at Google Scholar
    1651% above average of year
    Last visited: Feb-2024
    Paper: DOI
  38. 38
    Manos Antonakakis, Tim April, Michael Bailey, Matt Bernhard, Elie Bursztein, Jaime Cochran, Zakir Durumeric, J. Alex Halderman, Luca Invernizzi, Michalis Kallitsis, Deepak Kumar, Chaz Lever, Zane Ma, Joshua Mason, Damian Menscher, Chad Seaman, Nick Sullivan, Kurt Thomas, and Yi Zhou:
    Understanding the Mirai Botnet.
    USENIX Security Symposium, 2017
    2338 cites at Google Scholar
    1647% above average of year
    Last visited: Feb-2024
    Paper: DOI
  39. 39
    Dorothy E. Denning:
    An Intrusion-Detection Model.
    IEEE Symposium on Security and Privacy (S&P), 1986
    6293 cites at Google Scholar
    1633% above average of year
    Last visited: Feb-2024
    Paper: DOI
  40. 40
    Eli Ben-Sasson, Alessandro Chiesa, Christina Garman, Matthew Green, Ian Miers, Eran Tromer, and Madars Virza:
    Zerocash: Decentralized Anonymous Payments from Bitcoin.
    IEEE Symposium on Security and Privacy (S&P), 2014
    2423 cites at Google Scholar
    1615% above average of year
    Last visited: Feb-2024
    Paper: DOI
  41. 41
    Luca Melis, Congzheng Song, Emiliano De Cristofaro, and Vitaly Shmatikov:
    Exploiting Unintended Feature Leakage in Collaborative Learning.
    IEEE Symposium on Security and Privacy (S&P), 2019
    1416 cites at Google Scholar
    1604% above average of year
    Last visited: Feb-2024
    Paper: DOI
  42. 42
    Mahimna Kelkar, Soubhik Deb, Sishan Long, Ari Juels, and Sreeram Kannan:
    Themis: Fast, Strong Order-Fairness in Byzantine Consensus.
    ACM Conference on Computer and Communications Security (CCS), 2023
    68 cites at Google Scholar
    1558% above average of year
    Last visited: Mar-2024
    Paper: DOI
  43. 43
    Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, and Yang Zhang:
    Dynamic Backdoor Attacks Against Machine Learning Models.
    IEEE European Symposium on Security and Privacy (EuroS&P), 2022
    234 cites at Google Scholar
    1552% above average of year
    Last visited: Feb-2024
    Paper: DOI
  44. 44
    Weilin Xu, David Evans, and Yanjun Qi:
    Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks.
    Network and Distributed System Security Symposium (NDSS), 2018
    1824 cites at Google Scholar
    1531% above average of year
    Last visited: Feb-2024
    Paper: DOI
  45. 45
    Jeffrey O. Kephart and Steve R. White:
    Directed-Graph Epidemiological Models of Computer Viruses.
    IEEE Symposium on Security and Privacy (S&P), 1991
    1218 cites at Google Scholar
    1531% above average of year
    Last visited: Mar-2024
    Paper: DOI
  46. 46
    Minghong Fang, Xiaoyu Cao, Jinyuan Jia, and Neil Zhenqiang Gong:
    Local Model Poisoning Attacks to Byzantine-Robust Federated Learning.
    USENIX Security Symposium, 2020
    839 cites at Google Scholar
    1528% above average of year
    Last visited: Feb-2024
    Paper: DOI
  47. 47
    Alessandro Acquisti and Ralph Gross:
    Imagined Communities: Awareness, Information Sharing, and Privacy on the Facebook.
    International Symposium on Privacy Enhancing Technologies (PETS), 2006
    3296 cites at Google Scholar
    1495% above average of year
    Last visited: Feb-2024
    Paper: DOI
  48. 48
    Reza Curtmola, Juan A. Garay, Seny Kamara, and Rafail Ostrovsky:
    Searchable symmetric encryption: improved definitions and efficient constructions.
    ACM Conference on Computer and Communications Security (CCS), 2006
    3295 cites at Google Scholar
    1495% above average of year
    Last visited: Feb-2024
    Paper: DOI
  49. 49
    Milad Nasr, Reza Shokri, and Amir Houmansadr:
    Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning.
    IEEE Symposium on Security and Privacy (S&P), 2019
    1307 cites at Google Scholar
    1473% above average of year
    Last visited: Feb-2024
    Paper: DOI
  50. 50
    Thomas Ristenpart, Eran Tromer, Hovav Shacham, and Stefan Savage:
    Hey, you, get off of my cloud: exploring information leakage in third-party compute clouds.
    ACM Conference on Computer and Communications Security (CCS), 2009
    2976 cites at Google Scholar
    1473% above average of year
    Last visited: Mar-2024
    Paper: DOI
  51. 51
    Haowen Chan, Adrian Perrig, and Dawn Xiaodong Song:
    Random Key Predistribution Schemes for Sensor Networks.
    IEEE Symposium on Security and Privacy (S&P), 2003
    4409 cites at Google Scholar
    1465% above average of year
    Last visited: Feb-2024
    Paper: DOI
  52. 52
    Úlfar Erlingsson, Vasyl Pihur, and Aleksandra Korolova:
    RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response.
    ACM Conference on Computer and Communications Security (CCS), 2014
    2178 cites at Google Scholar
    1442% above average of year
    Last visited: Mar-2024
    Paper: DOI
  53. 53
    Bolun Wang, Yuanshun Yao, Shawn Shan, Huiying Li, Bimal Viswanath, Haitao Zheng, and Ben Y. Zhao:
    Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks.
    IEEE Symposium on Security and Privacy (S&P), 2019
    1257 cites at Google Scholar
    1413% above average of year
    Last visited: Feb-2024
    Paper: DOI
  54. 54
    Moritz Lipp, Michael Schwarz, Daniel Gruss, Thomas Prescher, Werner Haas, Anders Fogh, Jann Horn, Stefan Mangard, Paul Kocher, Daniel Genkin, Yuval Yarom, and Mike Hamburg:
    Meltdown: Reading Kernel Memory from User Space.
    USENIX Security Symposium, 2018
    1685 cites at Google Scholar
    1407% above average of year
    Last visited: Feb-2024
    Paper: DOI
  55. 55
    Karl Koscher, Alexei Czeskis, Franziska Roesner, Shwetak N. Patel, Tadayoshi Kohno, Stephen Checkoway, Damon McCoy, Brian Kantor, Danny Anderson, Hovav Shacham, and Stefan Savage:
    Experimental Security Analysis of a Modern Automobile.
    IEEE Symposium on Security and Privacy (S&P), 2010
    2425 cites at Google Scholar
    1399% above average of year
    Last visited: Mar-2024
    Paper: DOI
  56. 56
    Joseph A. Goguen and José Meseguer:
    Security Policies and Security Models.
    IEEE Symposium on Security and Privacy (S&P), 1982
    3082 cites at Google Scholar
    1375% above average of year
    Last visited: Feb-2024
    Paper: DOI
  57. 57
    Loi Luu, Duc-Hiep Chu, Hrishi Olickel, Prateek Saxena, and Aquinas Hobor:
    Making Smart Contracts Smarter.
    ACM Conference on Computer and Communications Security (CCS), 2016
    2324 cites at Google Scholar
    1349% above average of year
    Last visited: Mar-2024
    Paper: DOI
  58. 58
    Lucas Bourtoule, Varun Chandrasekaran, Christopher A. Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, and Nicolas Papernot:
    Machine Unlearning.
    IEEE Symposium on Security and Privacy (S&P), 2021
    438 cites at Google Scholar
    1337% above average of year
    Last visited: Feb-2024
    Paper: DOI
  59. 59
    Kaihua Qin, Liyi Zhou, and Arthur Gervais:
    Quantifying Blockchain Extractable Value: How dark is the forest?
    IEEE Symposium on Security and Privacy (S&P), 2022
    201 cites at Google Scholar
    1319% above average of year
    Last visited: Feb-2024
    Paper: DOI
  60. 60
    Hammond Pearce, Baleegh Ahmad, Benjamin Tan, Brendan Dolan-Gavitt, and Ramesh Karri:
    Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code Contributions.
    IEEE Symposium on Security and Privacy (S&P), 2022
    197 cites at Google Scholar
    1291% above average of year
    Last visited: Feb-2024
    Paper: DOI
  61. 61
    Shawn Shan, Jenna Cryan, Emily Wenger, Haitao Zheng, Rana Hanocka, and Ben Y. Zhao:
    Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models.
    USENIX Security Symposium, 2023
    57 cites at Google Scholar
    1290% above average of year
    Last visited: Feb-2024
    Paper: DOI
  62. 62
    Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, and Santiago Zanella Béguelin:
    Analyzing Leakage of Personally Identifiable Information in Language Models.
    IEEE Symposium on Security and Privacy (S&P), 2023
    57 cites at Google Scholar
    1290% above average of year
    Last visited: Feb-2024
    Paper: DOI
  63. 63
    Payman Mohassel and Yupeng Zhang:
    SecureML: A System for Scalable Privacy-Preserving Machine Learning.
    IEEE Symposium on Security and Privacy (S&P), 2017
    1850 cites at Google Scholar
    1282% above average of year
    Last visited: Feb-2024
    Paper: DOI
  64. 64
    Liyi Zhou, Xihan Xiong, Jens Ernstberger, Stefanos Chaliasos, Zhipeng Wang, Ye Wang, Kaihua Qin, Roger Wattenhofer, Dawn Song, and Arthur Gervais:
    SoK: Decentralized Finance (DeFi) Attacks.
    IEEE Symposium on Security and Privacy (S&P), 2023
    55 cites at Google Scholar
    1241% above average of year
    Last visited: Jan-2024
    Paper: DOI
  65. 65
    Ari Juels and Martin Wattenberg:
    A Fuzzy Commitment Scheme.
    ACM Conference on Computer and Communications Security (CCS), 1999
    2223 cites at Google Scholar
    1234% above average of year
    Last visited: Feb-2024
    Paper: DOI
  66. 66
    Martín Abadi, Mihai Budiu, Úlfar Erlingsson, and Jay Ligatti:
    Control-flow integrity.
    ACM Conference on Computer and Communications Security (CCS), 2005
    2517 cites at Google Scholar
    1231% above average of year
    Last visited: Feb-2024
    Paper: DOI
  67. 67
    Ari Juels and Burton S. Kaliski Jr.:
    Pors: proofs of retrievability for large files.
    ACM Conference on Computer and Communications Security (CCS), 2007
    2854 cites at Google Scholar
    1205% above average of year
    Last visited: Mar-2024
    Paper: DOI
  68. 68
    Zeyang Sha, Zheng Li, Ning Yu, and Yang Zhang:
    DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models.
    ACM Conference on Computer and Communications Security (CCS), 2023
    53 cites at Google Scholar
    1192% above average of year
    Last visited: Feb-2024
    Paper: DOI
  69. 69
    Piergiorgio Ladisa, Henrik Plate, Matias Martinez, and Olivier Barais:
    SoK: Taxonomy of Attacks on Open-Source Software Supply Chains.
    IEEE Symposium on Security and Privacy (S&P), 2023
    53 cites at Google Scholar
    1192% above average of year
    Last visited: Feb-2024
    Paper: DOI
  70. 70
    Alexander Warnecke, Lukas Pirch, Christian Wressnegger, and Konrad Rieck:
    Machine Unlearning of Features and Labels.
    Network and Distributed System Security Symposium (NDSS), 2023
    53 cites at Google Scholar
    1192% above average of year
    Last visited: Feb-2024
    Paper: DOI
  71. 71
    Zichen Gui, Kenneth G. Paterson, Sikhar Patranabis, and Bogdan Warinschi:
    SWiSSSE: System-Wide Security for Searchable Symmetric Encryption.
    Proceedings on Privacy Enhancing Technologies (PoPETS), 2024
    18 cites at Google Scholar
    1176% above average of year
    Last visited: Feb-2024
    Paper: DOI
  72. 72
    James Newsome and Dawn Xiaodong Song:
    Dynamic Taint Analysis for Automatic Detection, Analysis, and SignatureGeneration of Exploits on Commodity Software.
    Network and Distributed System Security Symposium (NDSS), 2005
    2405 cites at Google Scholar
    1172% above average of year
    Last visited: Feb-2024
    Paper: DOI
  73. 73
    Virat Shejwalkar, Amir Houmansadr, Peter Kairouz, and Daniel Ramage:
    Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning.
    IEEE Symposium on Security and Privacy (S&P), 2022
    180 cites at Google Scholar
    1171% above average of year
    Last visited: Mar-2024
    Paper: DOI
  74. 74
    Crispin Cowan, Calton Pu, Dave Maier, Heather Hintony, Jonathan Walpole, Peat Bakke, Steve Beattie, Aaron Grier, Perry Wagle, and Qian Zhang:
    StackGuard: Automatic Adaptive Detection and Prevention of Buffer-Overflow Attacks.
    USENIX Security Symposium, 1998
    2401 cites at Google Scholar
    1153% above average of year
    Last visited: Feb-2024
    Paper: DOI
  75. 75
    David D. Clark and D. R. Wilson:
    A Comparison of Commercial and Military Computer Security Policies.
    IEEE Symposium on Security and Privacy (S&P), 1987
    2008 cites at Google Scholar
    1153% above average of year
    Last visited: Feb-2024
    Paper: DOI
  76. 76
    Stephen Checkoway, Damon McCoy, Brian Kantor, Danny Anderson, Hovav Shacham, Stefan Savage, Karl Koscher, Alexei Czeskis, Franziska Roesner, and Tadayoshi Kohno:
    Comprehensive Experimental Analyses of Automotive Attack Surfaces.
    USENIX Security Symposium, 2011
    2148 cites at Google Scholar
    1150% above average of year
    Last visited: Mar-2024
    Paper: DOI
  77. 77
    Neil Perry, Megha Srivastava, Deepak Kumar, and Dan Boneh:
    Do Users Write More Insecure Code with AI Assistants?
    ACM Conference on Computer and Communications Security (CCS), 2023
    51 cites at Google Scholar
    1144% above average of year
    Last visited: Feb-2024
    Paper: DOI
  78. 78
    Wenke Lee, Salvatore J. Stolfo, and Kui W. Mok:
    A Data Mining Framework for Building Intrusion Detection Models.
    IEEE Symposium on Security and Privacy (S&P), 1999
    2058 cites at Google Scholar
    1135% above average of year
    Last visited: Feb-2024
    Paper: DOI
  79. 79
    Yuval Yarom and Katrina Falkner:
    FLUSH+RELOAD: A High Resolution, Low Noise, L3 Cache Side-Channel Attack.
    USENIX Security Symposium, 2014
    1736 cites at Google Scholar
    1129% above average of year
    Last visited: Aug-2023
    Paper: DOI
  80. 80
    Joseph Bonneau, Andrew Miller, Jeremy Clark, Arvind Narayanan, Joshua A. Kroll, and Edward W. Felten:
    SoK: Research Perspectives and Challenges for Bitcoin and Cryptocurrencies.
    IEEE Symposium on Security and Privacy (S&P), 2015
    1644 cites at Google Scholar
    1127% above average of year
    Last visited: Feb-2024
    Paper: DOI
  81. 81
    Adrienne Porter Felt, Erika Chin, Steve Hanna, Dawn Song, and David A. Wagner:
    Android permissions demystified.
    ACM Conference on Computer and Communications Security (CCS), 2011
    2094 cites at Google Scholar
    1119% above average of year
    Last visited: Feb-2024
    Paper: DOI
  82. 82
    Jianbo Chen, Michael I. Jordan, and Martin J. Wainwright:
    HopSkipJumpAttack: A Query-Efficient Decision-Based Attack.
    IEEE Symposium on Security and Privacy (S&P), 2020
    628 cites at Google Scholar
    1118% above average of year
    Last visited: Mar-2024
    Paper: DOI
  83. 83
    Florian Tramèr, Fan Zhang, Ari Juels, Michael K. Reiter, and Thomas Ristenpart:
    Stealing Machine Learning Models via Prediction APIs.
    USENIX Security Symposium, 2016
    1942 cites at Google Scholar
    1111% above average of year
    Last visited: Feb-2024
    Paper: DOI
  84. 84
    Thomas Beth, Malte Borcherding, and Birgit Klein:
    Valuation of Trust in Open Networks.
    European Symposium on Research in Computer Security (ESORICS), 1994
    1266 cites at Google Scholar
    1091% above average of year
    Last visited: Feb-2024
    Paper: DOI
  85. 85
    Robin Sommer and Vern Paxson:
    Outside the Closed World: On Using Machine Learning for Network Intrusion Detection.
    IEEE Symposium on Security and Privacy (S&P), 2010
    1920 cites at Google Scholar
    1086% above average of year
    Last visited: Mar-2024
    Paper: DOI
  86. 86
    Gustavus J. Simmons:
    Verification of Treaty Compliance Revisited.
    IEEE Symposium on Security and Privacy (S&P), 1983
    1768 cites at Google Scholar
    1079% above average of year
    Last visited: Feb-2024
    Paper: DOI
  87. 87
    Alma Whitten and J. Doug Tygar:
    Why Johnny Can't Encrypt: A Usability Evaluation of PGP 5.0.
    USENIX Security Symposium, 1999
    1952 cites at Google Scholar
    1071% above average of year
    Last visited: Mar-2024
    Paper: DOI
  88. 88
    Kushal Babel, Philip Daian, Mahimna Kelkar, and Ari Juels:
    Clockwork Finance: Automated Analysis of Economic Security in Smart Contracts.
    IEEE Symposium on Security and Privacy (S&P), 2023
    48 cites at Google Scholar
    1071% above average of year
    Last visited: Mar-2024
    Paper: DOI
  89. 89
    Xiaoyu Cao, Minghong Fang, Jia Liu, and Neil Zhenqiang Gong:
    FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping.
    Network and Distributed System Security Symposium (NDSS), 2021
    353 cites at Google Scholar
    1058% above average of year
    Last visited: Feb-2024
    Paper: DOI
  90. 90
    Martín Abadi and Andrew D. Gordon:
    A Calculus for Cryptographic Protocols: The Spi Calculus.
    ACM Conference on Computer and Communications Security (CCS), 1997
    2103 cites at Google Scholar
    1053% above average of year
    Last visited: Feb-2024
    Paper: DOI
  91. 91
    Alexandra Henzinger, Matthew M. Hong, Henry Corrigan-Gibbs, Sarah Meiklejohn, and Vinod Vaikuntanathan:
    One Server for the Price of Two: Simple and Fast Single-Server Private Information Retrieval.
    USENIX Security Symposium, 2023
    47 cites at Google Scholar
    1046% above average of year
    Last visited: Mar-2024
    Paper: DOI
  92. 92
    Arthur Gervais, Ghassan O. Karame, Karl Wüst, Vasileios Glykantzis, Hubert Ritzdorf, and Srdjan Capkun:
    On the Security and Performance of Proof of Work Blockchains.
    ACM Conference on Computer and Communications Security (CCS), 2016
    1835 cites at Google Scholar
    1044% above average of year
    Last visited: Feb-2024
    Paper: DOI
  93. 93
    Jo Van Bulck, Marina Minkin, Ofir Weisse, Daniel Genkin, Baris Kasikci, Frank Piessens, Mark Silberstein, Thomas F. Wenisch, Yuval Yarom, and Raoul Strackx:
    Foreshadow: Extracting the Keys to the Intel SGX Kingdom with Transient Out-of-Order Execution.
    USENIX Security Symposium, 2018
    1259 cites at Google Scholar
    1026% above average of year
    Last visited: Feb-2024
    Paper: DOI
  94. 94
    Wenke Lee and Salvatore J. Stolfo:
    Data Mining Approaches for Intrusion Detection.
    USENIX Security Symposium, 1998
    2149 cites at Google Scholar
    1022% above average of year
    Last visited: Feb-2024
    Paper: DOI
  95. 95
    Christina Warrender, Stephanie Forrest, and Barak A. Pearlmutter:
    Detecting Intrusions using System Calls: Alternative Data Models.
    IEEE Symposium on Security and Privacy (S&P), 1999
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    1021% above average of year
    Last visited: Feb-2024
    Paper: DOI
  96. 96
    Mathias Lécuyer, Vaggelis Atlidakis, Roxana Geambasu, Daniel Hsu, and Suman Jana:
    Certified Robustness to Adversarial Examples with Differential Privacy.
    IEEE Symposium on Security and Privacy (S&P), 2019
    928 cites at Google Scholar
    1017% above average of year
    Last visited: Jan-2024
    Paper: DOI
  97. 97
    Giuseppe Ateniese, Kevin Fu, Matthew Green, and Susan Hohenberger:
    Improved Proxy Re-Encryption Schemes with Applications to Secure Distributed Storage.
    Network and Distributed System Security Symposium (NDSS), 2005
    2085 cites at Google Scholar
    1003% above average of year
    Last visited: Mar-2024
    Paper: DOI
  98. 98
    J. Alex Halderman, Seth D. Schoen, Nadia Heninger, William Clarkson, William Paul, Joseph A. Calandrino, Ariel J. Feldman, Jacob Appelbaum, and Edward W. Felten:
    Lest We Remember: Cold Boot Attacks on Encryption Keys.
    USENIX Security Symposium, 2008
    1819 cites at Google Scholar
    1002% above average of year
    Last visited: Feb-2024
    Paper: DOI
  99. 99
    Nicholas Carlini, Chang Liu, Úlfar Erlingsson, Jernej Kos, and Dawn Song:
    The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks.
    USENIX Security Symposium, 2019
    913 cites at Google Scholar
    999% above average of year
    Last visited: Feb-2024
    Paper: DOI
  100. 100
    Ralph C. Merkle:
    Protocols for Public Key Cryptosystems.
    IEEE Symposium on Security and Privacy (S&P), 1980
    2276 cites at Google Scholar
    993% above average of year
    Last visited: Feb-2024
    Paper: DOI

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Last updated: 2024-03-04 11:34:07 CET