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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
    9087 cites at Google Scholar
    6421% above average of year
    Visited: May-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
    284 cites at Google Scholar
    4538% above average of year
    Visited: Apr-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
    6502 cites at Google Scholar
    4342% above average of year
    Visited: May-2024
    Paper: DOI
  4. 4
    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
    1279 cites at Google Scholar
    3578% above average of year
    Visited: Jun-2024
    Paper: DOI
  5. 5
    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
    7080 cites at Google Scholar
    3371% above average of year
    Visited: May-2024
    Paper: DOI
  6. 6
    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
    5689 cites at Google Scholar
    3339% above average of year
    Visited: Mar-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
    2888 cites at Google Scholar
    3139% above average of year
    Visited: May-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
    6803 cites at Google Scholar
    2993% above average of year
    Visited: May-2024
    Paper: DOI
  9. 9
    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
    4244 cites at Google Scholar
    2946% above average of year
    Visited: May-2024
    Paper: DOI
  10. 10
    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
    3235 cites at Google Scholar
    2922% above average of year
    Visited: May-2024
    Paper: DOI
  11. 11
    D. F. C. Brewer and Michael J. Nash:
    The Chinese Wall Security Policy.
    IEEE Symposium on Security and Privacy (S&P), 1989
    1512 cites at Google Scholar
    2906% above average of year
    Visited: May-2024
    Paper: DOI
  12. 12
    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
    5017 cites at Google Scholar
    2746% above average of year
    Visited: Jun-2024
    Paper: DOI
  13. 13
    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
    4578 cites at Google Scholar
    2668% above average of year
    Visited: Apr-2024
    Paper: DOI
  14. 14
    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
    2229 cites at Google Scholar
    2659% above average of year
    Visited: May-2024
    Paper: DOI
  15. 15
    Roger Dingledine, Nick Mathewson, and Paul F. Syverson:
    Tor: The Second-Generation Onion Router.
    USENIX Security Symposium, 2004
    5948 cites at Google Scholar
    2519% above average of year
    Visited: May-2024
    Paper: DOI
  16. 16
    Linyi Li, Tao Xie, and Bo Li:
    SoK: Certified Robustness for Deep Neural Networks.
    IEEE Symposium on Security and Privacy (S&P), 2023
    150 cites at Google Scholar
    2350% above average of year
    Visited: May-2024
    Paper: DOI
  17. 17
    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
    148 cites at Google Scholar
    2317% above average of year
    Visited: May-2024
    Paper: DOI
  18. 18
    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
    139 cites at Google Scholar
    2170% above average of year
    Visited: Jun-2024
    Paper: DOI
  19. 19
    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
    389 cites at Google Scholar
    2125% above average of year
    Visited: May-2024
    Paper: DOI
  20. 20
    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
    3571 cites at Google Scholar
    2059% above average of year
    Visited: May-2024
    Paper: DOI
  21. 21
    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
    2967 cites at Google Scholar
    2035% above average of year
    Visited: May-2024
    Paper: DOI
  22. 22
    Vern Paxson:
    Bro: A System for Detecting Network Intruders in Real-Time.
    USENIX Security Symposium, 1998
    4052 cites at Google Scholar
    2029% above average of year
    Visited: May-2024
    Paper: DOI
  23. 23
    Matt Blaze, Joan Feigenbaum, and Jack Lacy:
    Decentralized Trust Management.
    IEEE Symposium on Security and Privacy (S&P), 1996
    3455 cites at Google Scholar
    1993% above average of year
    Visited: May-2024
    Paper: DOI
  24. 24
    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
    2909 cites at Google Scholar
    1988% above average of year
    Visited: May-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
    5472 cites at Google Scholar
    1932% above average of year
    Visited: May-2024
    Paper: DOI
  26. 26
    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
    3622 cites at Google Scholar
    1795% above average of year
    Visited: May-2024
    Paper: DOI
  27. 27
    Arvind Narayanan and Vitaly Shmatikov:
    Robust De-anonymization of Large Sparse Datasets.
    IEEE Symposium on Security and Privacy (S&P), 2008
    3306 cites at Google Scholar
    1786% above average of year
    Visited: May-2024
    Paper: DOI
  28. 28
    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
    2725 cites at Google Scholar
    1784% above average of year
    Visited: May-2024
    Paper: DOI
  29. 29
    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
    1764% above average of year
    Visited: Apr-2024
    Paper: DOI
  30. 30
    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
    3064 cites at Google Scholar
    1756% above average of year
    Visited: May-2024
    Paper: DOI
  31. 31
    Reza Shokri and Vitaly Shmatikov:
    Privacy-Preserving Deep Learning.
    ACM Conference on Computer and Communications Security (CCS), 2015
    2577 cites at Google Scholar
    1754% above average of year
    Visited: May-2024
    Paper: DOI
  32. 32
    Yajin Zhou and Xuxian Jiang:
    Dissecting Android Malware: Characterization and Evolution.
    IEEE Symposium on Security and Privacy (S&P), 2012
    3036 cites at Google Scholar
    1733% above average of year
    Visited: May-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
    3023 cites at Google Scholar
    1728% above average of year
    Visited: May-2024
    Paper: DOI
  34. 34
    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
    3991 cites at Google Scholar
    1715% above average of year
    Visited: May-2024
    Paper: DOI
  35. 35
    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
    2461 cites at Google Scholar
    1666% above average of year
    Visited: Jun-2024
    Paper: DOI
  36. 36
    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
    1540 cites at Google Scholar
    1627% above average of year
    Visited: Apr-2024
    Paper: DOI
  37. 37
    Dorothy E. Denning:
    An Intrusion-Detection Model.
    IEEE Symposium on Security and Privacy (S&P), 1986
    6313 cites at Google Scholar
    1626% above average of year
    Visited: May-2024
    Paper: DOI
  38. 38
    Minghong Fang, Xiaoyu Cao, Jinyuan Jia, and Neil Zhenqiang Gong:
    Local Model Poisoning Attacks to Byzantine-Robust Federated Learning.
    USENIX Security Symposium, 2020
    967 cites at Google Scholar
    1606% above average of year
    Visited: May-2024
    Paper: DOI
  39. 39
    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
    297 cites at Google Scholar
    1599% above average of year
    Visited: May-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
    2451 cites at Google Scholar
    1595% above average of year
    Visited: Apr-2024
    Paper: DOI
  41. 41
    Jeffrey O. Kephart and Steve R. White:
    Directed-Graph Epidemiological Models of Computer Viruses.
    IEEE Symposium on Security and Privacy (S&P), 1991
    1220 cites at Google Scholar
    1548% above average of year
    Visited: May-2024
    Paper: DOI
  42. 42
    Weilin Xu, David Evans, and Yanjun Qi:
    Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks.
    Network and Distributed System Security Symposium (NDSS), 2018
    1927 cites at Google Scholar
    1542% above average of year
    Visited: May-2024
    Paper: DOI
  43. 43
    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
    3342 cites at Google Scholar
    1538% above average of year
    Visited: May-2024
    Paper: DOI
  44. 44
    Alessandro Acquisti and Ralph Gross:
    Imagined Communities: Awareness, Information Sharing, and Privacy on the Facebook.
    International Symposium on Privacy Enhancing Technologies (PETS), 2006
    3339 cites at Google Scholar
    1537% above average of year
    Visited: May-2024
    Paper: DOI
  45. 45
    Haowen Chan, Adrian Perrig, and Dawn Xiaodong Song:
    Random Key Predistribution Schemes for Sensor Networks.
    IEEE Symposium on Security and Privacy (S&P), 2003
    4422 cites at Google Scholar
    1460% above average of year
    Visited: Jun-2024
    Paper: DOI
  46. 46
    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
    1389 cites at Google Scholar
    1458% above average of year
    Visited: Apr-2024
    Paper: DOI
  47. 47
    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
    2969 cites at Google Scholar
    1454% above average of year
    Visited: May-2024
    Paper: DOI
  48. 48
    Úlfar Erlingsson, Vasyl Pihur, and Aleksandra Korolova:
    RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response.
    ACM Conference on Computer and Communications Security (CCS), 2014
    2245 cites at Google Scholar
    1452% above average of year
    Visited: May-2024
    Paper: DOI
  49. 49
    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
    95 cites at Google Scholar
    1451% above average of year
    Visited: May-2024
    Paper: DOI
  50. 50
    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
    95 cites at Google Scholar
    1451% above average of year
    Visited: May-2024
    Paper: DOI
  51. 51
    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
    1376 cites at Google Scholar
    1443% above average of year
    Visited: May-2024
    Paper: DOI
  52. 52
    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
    2469 cites at Google Scholar
    1413% above average of year
    Visited: May-2024
    Paper: DOI
  53. 53
    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
    1764 cites at Google Scholar
    1403% above average of year
    Visited: May-2024
    Paper: DOI
  54. 54
    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
    260 cites at Google Scholar
    1387% above average of year
    Visited: Jun-2024
    Paper: DOI
  55. 55
    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
    260 cites at Google Scholar
    1387% above average of year
    Visited: May-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
    3157 cites at Google Scholar
    1381% above average of year
    Visited: May-2024
    Paper: DOI
  57. 57
    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
    90 cites at Google Scholar
    1370% above average of year
    Visited: May-2024
    Paper: DOI
  58. 58
    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
    89 cites at Google Scholar
    1353% above average of year
    Visited: May-2024
    Paper: DOI
  59. 59
    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
    2379 cites at Google Scholar
    1338% above average of year
    Visited: May-2024
    Paper: DOI
  60. 60
    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
    87 cites at Google Scholar
    1321% above average of year
    Visited: Jun-2024
    Paper: DOI
  61. 61
    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
    85 cites at Google Scholar
    1288% above average of year
    Visited: May-2024
    Paper: DOI
  62. 62
    Payman Mohassel and Yupeng Zhang:
    SecureML: A System for Scalable Privacy-Preserving Machine Learning.
    IEEE Symposium on Security and Privacy (S&P), 2017
    1933 cites at Google Scholar
    1287% above average of year
    Visited: Apr-2024
    Paper: DOI
  63. 63
    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
    481 cites at Google Scholar
    1283% above average of year
    Visited: Mar-2024
    Paper: DOI
  64. 64
    Ari Juels and Martin Wattenberg:
    A Fuzzy Commitment Scheme.
    ACM Conference on Computer and Communications Security (CCS), 1999
    2241 cites at Google Scholar
    1268% above average of year
    Visited: May-2024
    Paper: DOI
  65. 65
    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
    2419 cites at Google Scholar
    1241% above average of year
    Visited: May-2024
    Paper: DOI
  66. 66
    Yuval Yarom and Katrina Falkner:
    FLUSH+RELOAD: A High Resolution, Low Noise, L3 Cache Side-Channel Attack.
    USENIX Security Symposium, 2014
    1933 cites at Google Scholar
    1236% above average of year
    Visited: May-2024
    Paper: DOI
  67. 67
    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
    232 cites at Google Scholar
    1227% above average of year
    Visited: May-2024
    Paper: DOI
  68. 68
    Ari Juels and Burton S. Kaliski Jr.:
    Pors: proofs of retrievability for large files.
    ACM Conference on Computer and Communications Security (CCS), 2007
    2875 cites at Google Scholar
    1207% above average of year
    Visited: May-2024
    Paper: DOI
  69. 69
    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
    80 cites at Google Scholar
    1206% above average of year
    Visited: May-2024
    Paper: DOI
  70. 70
    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
    2023 cites at Google Scholar
    1173% above average of year
    Visited: May-2024
    Paper: DOI
  71. 71
    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
    2422 cites at Google Scholar
    1172% above average of year
    Visited: May-2024
    Paper: DOI
  72. 72
    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
    2196 cites at Google Scholar
    1170% above average of year
    Visited: Jun-2024
    Paper: DOI
  73. 73
    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
    438 cites at Google Scholar
    1160% above average of year
    Visited: May-2024
    Paper: DOI
  74. 74
    Florian Tramèr, Fan Zhang, Ari Juels, Michael K. Reiter, and Thomas Ristenpart:
    Stealing Machine Learning Models via Prediction APIs.
    USENIX Security Symposium, 2016
    2063 cites at Google Scholar
    1147% above average of year
    Visited: May-2024
    Paper: DOI
  75. 75
    Virat Shejwalkar, Amir Houmansadr, Peter Kairouz, and Daniel Ramage:
    Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning.
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  76. 76
    Wenke Lee, Salvatore J. Stolfo, and Kui W. Mok:
    A Data Mining Framework for Building Intrusion Detection Models.
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  77. 77
    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
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  78. 78
    Zeyang Sha, Zheng Li, Ning Yu, and Yang Zhang:
    DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models.
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  79. 79
    Adrienne Porter Felt, Erika Chin, Steve Hanna, Dawn Song, and David A. Wagner:
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    Alma Whitten and J. Doug Tygar:
    Why Johnny Can't Encrypt: A Usability Evaluation of PGP 5.0.
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    Robin Sommer and Vern Paxson:
    Outside the Closed World: On Using Machine Learning for Network Intrusion Detection.
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  82. 82
    Jianbo Chen, Michael I. Jordan, and Martin J. Wainwright:
    HopSkipJumpAttack: A Query-Efficient Decision-Based Attack.
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    Gustavus J. Simmons:
    Verification of Treaty Compliance Revisited.
    IEEE Symposium on Security and Privacy (S&P), 1983
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    Thomas Beth, Malte Borcherding, and Birgit Klein:
    Valuation of Trust in Open Networks.
    European Symposium on Research in Computer Security (ESORICS), 1994
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    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
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  86. 86
    Arthur Gervais, Ghassan O. Karame, Karl Wüst, Vasileios Glykantzis, Hubert Ritzdorf, and Srdjan Capkun:
    On the Security and Performance of Proof of Work Blockchains.
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    Martín Abadi and Andrew D. Gordon:
    A Calculus for Cryptographic Protocols: The Spi Calculus.
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    Wenke Lee and Salvatore J. Stolfo:
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  89. 89
    Nicholas Carlini, Chang Liu, Úlfar Erlingsson, Jernej Kos, and Dawn Song:
    The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks.
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    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
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  91. 91
    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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    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.
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    Alexander Warnecke, Lukas Pirch, Christian Wressnegger, and Konrad Rieck:
    Machine Unlearning of Features and Labels.
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    Ian T. Foster, Carl Kesselman, Gene Tsudik, and Steven Tuecke:
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    Min Du, Feifei Li, Guineng Zheng, and Vivek Srikumar:
    DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning.
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  96. 96
    Mahmood Sharif, Sruti Bhagavatula, Lujo Bauer, and Michael K. Reiter:
    Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition.
    ACM Conference on Computer and Communications Security (CCS), 2016
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    Ralph C. Merkle:
    Protocols for Public Key Cryptosystems.
    IEEE Symposium on Security and Privacy (S&P), 1980
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    Eleftherios Kokoris-Kogias, Philipp Jovanovic, Linus Gasser, Nicolas Gailly, Ewa Syta, and Bryan Ford:
    OmniLedger: A Secure, Scale-Out, Decentralized Ledger via Sharding.
    IEEE Symposium on Security and Privacy (S&P), 2018
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    Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, and Ling Liu:
    Data Poisoning Attacks Against Federated Learning Systems.
    European Symposium on Research in Computer Security (ESORICS), 2020
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  100. 100
    Benedikt Bünz, Jonathan Bootle, Dan Boneh, Andrew Poelstra, Pieter Wuille, and Gregory Maxwell:
    Bulletproofs: Short Proofs for Confidential Transactions and More.
    IEEE Symposium on Security and Privacy (S&P), 2018
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    969% above average of year
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    Paper: DOI

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Last updated: 2024-06-03 10:37:36 CEST