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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, 2017
    6308 cites at Google Scholar
    5940% above average of year
    Last visited: Dec-2022
    Paper: DOI
  2. 2
    Mihir Bellare and Phillip Rogaway:
    Random Oracles are Practical: A Paradigm for Designing Efficient Protocols.
    ACM Conference on Computer and Communications Security (CCS), 1993
    6153 cites at Google Scholar
    4250% above average of year
    Last visited: Mar-2023
    Paper: DOI
  3. 3
    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, 2022
    135 cites at Google Scholar
    3951% above average of year
    Last visited: Feb-2023
    Paper: DOI
  4. 4
    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, 2019
    2262 cites at Google Scholar
    3777% above average of year
    Last visited: Mar-2023
    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
    6409 cites at Google Scholar
    3103% above average of year
    Last visited: Feb-2023
    Paper: DOI
  6. 6
    Stephanie Forrest, Alan S. Perelson, Lawrence Allen, and Rajesh Cherukuri:
    Self-nonself discrimination in a computer.
    IEEE Symposium on Security and Privacy, 1994
    3144 cites at Google Scholar
    2907% above average of year
    Last visited: Jan-2023
    Paper: DOI
  7. 7
    John Bethencourt, Amit Sahai, and Brent Waters:
    Ciphertext-Policy Attribute-Based Encryption.
    IEEE Symposium on Security and Privacy, 2007
    6113 cites at Google Scholar
    2871% above average of year
    Last visited: Jan-2023
    Paper: DOI
  8. 8
    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
    439 cites at Google Scholar
    2835% above average of year
    Last visited: Feb-2023
    Paper: DOI
  9. 9
    D. F. C. Brewer and Michael J. Nash:
    The Chinese Wall Security Policy.
    IEEE Symposium on Security and Privacy, 1989
    1484 cites at Google Scholar
    2765% above average of year
    Last visited: Mar-2023
    Paper: DOI
  10. 10
    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
    3753 cites at Google Scholar
    2729% above average of year
    Last visited: Feb-2023
    Paper: DOI
  11. 11
    Alessandro N. Baccarini, Marina Blanton, and Chen Yuan:
    Multi-Party Replicated Secret Sharing over a Ring with Applications to Privacy-Preserving Machine Learning.
    Proceedings on Privacy Enhancing Technologies, 2023
    5 cites at Google Scholar
    2704% above average of year
    Last visited: Feb-2023
    Paper: DOI
  12. 12
    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, 2016
    3716 cites at Google Scholar
    2701% above average of year
    Last visited: Mar-2023
    Paper: DOI
  13. 13
    Dawn Xiaodong Song, David A. Wagner, and Adrian Perrig:
    Practical Techniques for Searches on Encrypted Data.
    IEEE Symposium on Security and Privacy, 2000
    4508 cites at Google Scholar
    2553% above average of year
    Last visited: Jan-2023
    Paper: DOI
  14. 14
    Reza Shokri, Marco Stronati, Congzheng Song, and Vitaly Shmatikov:
    Membership Inference Attacks Against Machine Learning Models.
    IEEE Symposium on Security and Privacy, 2017
    2711 cites at Google Scholar
    2496% above average of year
    Last visited: Mar-2023
    Paper: DOI
  15. 15
    Roger Dingledine, Nick Mathewson, and Paul F. Syverson:
    Tor: The Second-Generation Onion Router.
    USENIX Security Symposium, 2004
    5487 cites at Google Scholar
    2353% above average of year
    Last visited: Feb-2023
    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, 1992
    2167 cites at Google Scholar
    2322% above average of year
    Last visited: Mar-2023
    Paper: DOI
  17. 17
    Alex Davidson, Gonçalo Pestana, and Sofía Celi:
    FrodoPIR: Simple, Scalable, Single-Server Private Information Retrieval.
    Proceedings on Privacy Enhancing Technologies, 2023
    4 cites at Google Scholar
    2143% above average of year
    Last visited: Feb-2023
    Paper: DOI
  18. 18
    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
    74 cites at Google Scholar
    2121% above average of year
    Last visited: Jan-2023
    Paper: DOI
  19. 19
    Kaihua Qin, Liyi Zhou, and Arthur Gervais:
    Quantifying Blockchain Extractable Value: How dark is the forest?
    IEEE Symposium on Security and Privacy, 2022
    73 cites at Google Scholar
    2091% above average of year
    Last visited: Jan-2023
    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, 2016
    2866 cites at Google Scholar
    2060% above average of year
    Last visited: Feb-2023
    Paper: DOI
  21. 21
    Matt Blaze, Joan Feigenbaum, and Jack Lacy:
    Decentralized Trust Management.
    IEEE Symposium on Security and Privacy, 1996
    3395 cites at Google Scholar
    2052% above average of year
    Last visited: Jan-2023
    Paper: DOI
  22. 22
    Laurent Eschenauer and Virgil D. Gligor:
    A key-management scheme for distributed sensor networks.
    ACM Conference on Computer and Communications Security (CCS), 2002
    5423 cites at Google Scholar
    1976% above average of year
    Last visited: Feb-2023
    Paper: DOI
  23. 23
    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, 2016
    2576 cites at Google Scholar
    1842% above average of year
    Last visited: Mar-2023
    Paper: DOI
  24. 24
    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, 2022
    64 cites at Google Scholar
    1821% above average of year
    Last visited: Jan-2023
    Paper: DOI
  25. 25
    Stephanie Forrest, Steven A. Hofmeyr, Anil Somayaji, and Thomas A. Longstaff:
    A Sense of Self for Unix Processes.
    IEEE Symposium on Security and Privacy, 1996
    2985 cites at Google Scholar
    1792% above average of year
    Last visited: Feb-2023
    Paper: DOI
  26. 26
    Vern Paxson:
    Bro: A System for Detecting Network Intruders in Real-Time.
    USENIX Security Symposium, 1998
    3769 cites at Google Scholar
    1772% above average of year
    Last visited: Jan-2022
    Paper: DOI
  27. 27
    Yajin Zhou and Xuxian Jiang:
    Dissecting Android Malware: Characterization and Evolution.
    IEEE Symposium on Security and Privacy, 2012
    2796 cites at Google Scholar
    1759% above average of year
    Last visited: Feb-2023
    Paper: DOI
  28. 28
    Li Gong, Roger M. Needham, and Raphael Yahalom:
    Reasoning about Belief in Cryptographic Protocols.
    IEEE Symposium on Security and Privacy, 1990
    1029 cites at Google Scholar
    1710% above average of year
    Last visited: Feb-2023
    Paper: DOI
  29. 29
    Arvind Narayanan and Vitaly Shmatikov:
    Robust De-anonymization of Large Sparse Datasets.
    IEEE Symposium on Security and Privacy, 2008
    2909 cites at Google Scholar
    1684% above average of year
    Last visited: Feb-2023
    Paper: DOI
  30. 30
    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
    3670 cites at Google Scholar
    1684% above average of year
    Last visited: Jan-2023
    Paper: DOI
  31. 31
    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
    2255 cites at Google Scholar
    1678% above average of year
    Last visited: Jan-2023
    Paper: DOI
  32. 32
    Weilin Xu, David Evans, and Yanjun Qi:
    Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks.
    Network and Distributed System Security Symposium (NDSS), 2018
    1419 cites at Google Scholar
    1677% above average of year
    Last visited: Feb-2023
    Paper: DOI
  33. 33
    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
    1852 cites at Google Scholar
    1673% above average of year
    Last visited: Feb-2023
    Paper: DOI
  34. 34
    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
    3151 cites at Google Scholar
    1665% above average of year
    Last visited: Jan-2023
    Paper: DOI
  35. 35
    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
    2041 cites at Google Scholar
    1632% above average of year
    Last visited: Feb-2023
    Paper: DOI
  36. 36
    Dorothy E. Denning:
    An Intrusion-Detection Model.
    IEEE Symposium on Security and Privacy, 1986
    6036 cites at Google Scholar
    1624% above average of year
    Last visited: Feb-2023
    Paper: DOI
  37. 37
    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
    1794 cites at Google Scholar
    1618% above average of year
    Last visited: Jan-2023
    Paper: DOI
  38. 38
    Ismat Jarin and Birhanu Eshete:
    MIAShield: Defending Membership Inference Attacks via Preemptive Exclusion of Members.
    Proceedings on Privacy Enhancing Technologies, 2023
    3 cites at Google Scholar
    1583% above average of year
    Last visited: Feb-2023
    Paper: DOI
  39. 39
    Túlio A. Pascoal, Jérémie Decouchant, Antoine Boutet, and Marcus Völp:
    I-GWAS: Privacy-Preserving Interdependent Genome-Wide Association Studies.
    Proceedings on Privacy Enhancing Technologies, 2023
    3 cites at Google Scholar
    1583% above average of year
    Last visited: Feb-2023
    Paper: DOI
  40. 40
    Luca Melis, Congzheng Song, Emiliano De Cristofaro, and Vitaly Shmatikov:
    Exploiting Unintended Feature Leakage in Collaborative Learning.
    IEEE Symposium on Security and Privacy, 2019
    967 cites at Google Scholar
    1557% above average of year
    Last visited: Jan-2023
    Paper: DOI
  41. 41
    Dipanjan Das, Priyanka Bose, Nicola Ruaro, Christopher Kruegel, and Giovanni Vigna:
    Understanding Security Issues in the NFT Ecosystem.
    ACM Conference on Computer and Communications Security (CCS), 2022
    55 cites at Google Scholar
    1551% above average of year
    Last visited: Mar-2023
    Paper: DOI
  42. 42
    Haowen Chan, Adrian Perrig, and Dawn Xiaodong Song:
    Random Key Predistribution Schemes for Sensor Networks.
    IEEE Symposium on Security and Privacy, 2003
    4323 cites at Google Scholar
    1545% above average of year
    Last visited: Jan-2023
    Paper: DOI
  43. 43
    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
    1311 cites at Google Scholar
    1542% above average of year
    Last visited: Mar-2023
    Paper: DOI
  44. 44
    Reza Shokri and Vitaly Shmatikov:
    Privacy-Preserving Deep Learning.
    ACM Conference on Computer and Communications Security (CCS), 2015
    1902 cites at Google Scholar
    1514% above average of year
    Last visited: Jan-2023
    Paper: DOI
  45. 45
    Jeffrey O. Kephart and Steve R. White:
    Directed-Graph Epidemiological Models of Computer Viruses.
    IEEE Symposium on Security and Privacy, 1991
    1166 cites at Google Scholar
    1510% above average of year
    Last visited: Feb-2023
    Paper: DOI
  46. 46
    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
    2842 cites at Google Scholar
    1492% above average of year
    Last visited: Feb-2023
    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
    3149 cites at Google Scholar
    1474% above average of year
    Last visited: Feb-2023
    Paper: DOI
  48. 48
    Ellis Fenske, Dane Brown, Jeremy Martin, Travis Mayberry, Peter Ryan, and Erik C. Rye:
    Three Years Later: A Study of MAC Address Randomization In Mobile Devices And When It Succeeds.
    Proceedings on Privacy Enhancing Technologies, 2021
    234 cites at Google Scholar
    1465% above average of year
    Last visited: Feb-2023
    Paper: DOI
  49. 49
    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, 2014
    1976 cites at Google Scholar
    1458% above average of year
    Last visited: Jan-2023
    Paper: DOI
  50. 50
    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
    3074 cites at Google Scholar
    1436% above average of year
    Last visited: Mar-2023
    Paper: DOI
  51. 51
    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, 2019
    884 cites at Google Scholar
    1415% above average of year
    Last visited: Mar-2023
    Paper: DOI
  52. 52
    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, 2022
    50 cites at Google Scholar
    1401% above average of year
    Last visited: Jan-2023
    Paper: DOI
  53. 53
    Joseph A. Goguen and José Meseguer:
    Security Policies and Security Models.
    IEEE Symposium on Security and Privacy, 1982
    2982 cites at Google Scholar
    1365% above average of year
    Last visited: Mar-2023
    Paper: DOI
  54. 54
    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, 2010
    2196 cites at Google Scholar
    1352% above average of year
    Last visited: Feb-2023
    Paper: DOI
  55. 55
    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
    1893 cites at Google Scholar
    1327% above average of year
    Last visited: Mar-2023
    Paper: DOI
  56. 56
    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, 2019
    830 cites at Google Scholar
    1323% above average of year
    Last visited: Mar-2023
    Paper: DOI
  57. 57
    Phillip A. Porras and Richard A. Kemmerer:
    Penetration state transition analysis: A rule-based intrusion detection approach.
    Annual Computer Security Applications Conference (ACSAC), 1992
    1261 cites at Google Scholar
    1309% above average of year
    Last visited: Mar-2023
    Paper: DOI
  58. 58
    Jinyuan Jia, Yupei Liu, and Neil Zhenqiang Gong:
    BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning.
    IEEE Symposium on Security and Privacy, 2022
    46 cites at Google Scholar
    1280% above average of year
    Last visited: Jan-2023
    Paper: DOI
  59. 59
    Payman Mohassel and Yupeng Zhang:
    SecureML: A System for Scalable Privacy-Preserving Machine Learning.
    IEEE Symposium on Security and Privacy, 2017
    1433 cites at Google Scholar
    1272% above average of year
    Last visited: Mar-2023
    Paper: DOI
  60. 60
    Minghong Fang, Xiaoyu Cao, Jinyuan Jia, and Neil Zhenqiang Gong:
    Local Model Poisoning Attacks to Byzantine-Robust Federated Learning.
    USENIX Security Symposium, 2020
    423 cites at Google Scholar
    1254% above average of year
    Last visited: Jan-2023
    Paper: DOI
  61. 61
    Úlfar Erlingsson, Vasyl Pihur, and Aleksandra Korolova:
    RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response.
    ACM Conference on Computer and Communications Security (CCS), 2014
    1688 cites at Google Scholar
    1231% above average of year
    Last visited: Jan-2023
    Paper: DOI
  62. 62
    Ari Juels and Burton S. Kaliski Jr.:
    Pors: proofs of retrievability for large files.
    ACM Conference on Computer and Communications Security (CCS), 2007
    2684 cites at Google Scholar
    1204% above average of year
    Last visited: Feb-2023
    Paper: DOI
  63. 63
    Theresa Stadler, Bristena Oprisanu, and Carmela Troncoso:
    Synthetic Data - Anonymisation Groundhog Day.
    USENIX Security Symposium, 2022
    43 cites at Google Scholar
    1190% above average of year
    Last visited: Jan-2023
    Paper: DOI
  64. 64
    Martín Abadi, Mihai Budiu, Úlfar Erlingsson, and Jay Ligatti:
    Control-flow integrity.
    ACM Conference on Computer and Communications Security (CCS), 2005
    2341 cites at Google Scholar
    1180% above average of year
    Last visited: Feb-2023
    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
    2329 cites at Google Scholar
    1173% above average of year
    Last visited: Jan-2023
    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
    1594 cites at Google Scholar
    1156% above average of year
    Last visited: Feb-2023
    Paper: DOI
  67. 67
    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, 2019
    731 cites at Google Scholar
    1153% above average of year
    Last visited: Mar-2023
    Paper: DOI
  68. 68
    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
    1998 cites at Google Scholar
    1148% above average of year
    Last visited: Feb-2023
    Paper: DOI
  69. 69
    David D. Clark and D. R. Wilson:
    A Comparison of Commercial and Military Computer Security Policies.
    IEEE Symposium on Security and Privacy, 1987
    1979 cites at Google Scholar
    1146% above average of year
    Last visited: Feb-2023
    Paper: DOI
  70. 70
    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, 2015
    1438 cites at Google Scholar
    1120% above average of year
    Last visited: Mar-2023
    Paper: DOI
  71. 71
    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
    1951 cites at Google Scholar
    1118% above average of year
    Last visited: Feb-2023
    Paper: DOI
  72. 72
    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, 2021
    182 cites at Google Scholar
    1117% above average of year
    Last visited: Jan-2023
    Paper: DOI
  73. 73
    Ari Juels and Martin Wattenberg:
    A Fuzzy Commitment Scheme.
    ACM Conference on Computer and Communications Security (CCS), 1999
    2115 cites at Google Scholar
    1111% above average of year
    Last visited: Mar-2023
    Paper: DOI
  74. 74
    Thomas Beth, Malte Borcherding, and Birgit Klein:
    Valuation of Trust in Open Networks.
    European Symposium on Research in Computer Security (ESORICS), 1994
    1261 cites at Google Scholar
    1106% above average of year
    Last visited: Mar-2023
    Paper: DOI
  75. 75
    Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, and Yang Zhang:
    ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models.
    USENIX Security Symposium, 2022
    40 cites at Google Scholar
    1100% above average of year
    Last visited: Jan-2023
    Paper: DOI
  76. 76
    Lorenzo Grassi, Dmitry Khovratovich, Christian Rechberger, Arnab Roy, and Markus Schofnegger:
    Poseidon: A New Hash Function for Zero-Knowledge Proof Systems.
    USENIX Security Symposium, 2021
    179 cites at Google Scholar
    1097% above average of year
    Last visited: Mar-2023
    Paper: DOI
  77. 77
    Martín Abadi and Andrew D. Gordon:
    A Calculus for Cryptographic Protocols: The Spi Calculus.
    ACM Conference on Computer and Communications Security (CCS), 1997
    2106 cites at Google Scholar
    1071% above average of year
    Last visited: Feb-2023
    Paper: DOI
  78. 78
    Théo Ryffel, Pierre Tholoniat, David Pointcheval, and Francis R. Bach:
    AriaNN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing.
    Proceedings on Privacy Enhancing Technologies, 2022
    39 cites at Google Scholar
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    Last visited: Feb-2023
    Paper: DOI
  79. 79
    Wenke Lee, Salvatore J. Stolfo, and Kui W. Mok:
    A Data Mining Framework for Building Intrusion Detection Models.
    IEEE Symposium on Security and Privacy, 1999
    2021 cites at Google Scholar
    1057% above average of year
    Last visited: Feb-2023
    Paper: DOI
  80. 80
    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, 2018
    918 cites at Google Scholar
    1049% above average of year
    Last visited: Mar-2023
    Paper: DOI
  81. 81
    Robin Sommer and Vern Paxson:
    Outside the Closed World: On Using Machine Learning for Network Intrusion Detection.
    IEEE Symposium on Security and Privacy, 2010
    1733 cites at Google Scholar
    1046% above average of year
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    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, 2020
    358 cites at Google Scholar
    1046% above average of year
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    Paper: DOI
  83. 83
    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
    2299 cites at Google Scholar
    1042% above average of year
    Last visited: Feb-2023
    Paper: DOI
  84. 84
    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
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    1035% above average of year
    Last visited: Jan-2023
    Paper: DOI
  85. 85
    Koki Hamada, Dai Ikarashi, Ryo Kikuchi, and Koji Chida:
    Efficient decision tree training with new data structure for secure multi-party computation.
    Proceedings on Privacy Enhancing Technologies, 2023
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    Paper: DOI
  86. 86
    Christine Utz, Sabrina Amft, Martin Degeling, Thorsten Holz, Sascha Fahl, and Florian Schaub:
    Privacy Rarely Considered: Exploring Considerations in the Adoption of Third-Party Services by Websites.
    Proceedings on Privacy Enhancing Technologies, 2023
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    Paper: DOI
  87. 87
    Matthew Green, Mathias Hall-Andersen, Eric Hennenfent, Gabriel Kaptchuk, Benjamin Perez, and Gijs Van Laer:
    Efficient Proofs of Software Exploitability for Real-world Processors.
    Proceedings on Privacy Enhancing Technologies, 2023
    2 cites at Google Scholar
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  88. 88
    Joseph A. Goguen and José Meseguer:
    Unwinding and Inference Control.
    IEEE Symposium on Security and Privacy, 1984
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    1016% above average of year
    Last visited: Jan-2023
    Paper: DOI
  89. 89
    Florian Tramèr, Fan Zhang, Ari Juels, Michael K. Reiter, and Thomas Ristenpart:
    Stealing Machine Learning Models via Prediction APIs.
    USENIX Security Symposium, 2016
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    1007% above average of year
    Last visited: Feb-2023
    Paper: DOI
  90. 90
    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, 2018
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    Paper: DOI
  91. 91
    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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    Last visited: Feb-2023
    Paper: DOI
  92. 92
    Alma Whitten and J. Doug Tygar:
    Why Johnny Can't Encrypt: A Usability Evaluation of PGP 5.0.
    USENIX Security Symposium, 1999
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  93. 93
    Wenke Lee and Salvatore J. Stolfo:
    Data Mining Approaches for Intrusion Detection.
    USENIX Security Symposium, 1998
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    951% above average of year
    Last visited: Jan-2023
    Paper: DOI
  94. 94
    Christina Warrender, Stephanie Forrest, and Barak A. Pearlmutter:
    Detecting Intrusions using System Calls: Alternative Data Models.
    IEEE Symposium on Security and Privacy, 1999
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    Paper: DOI
  95. 95
    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
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    Paper: DOI
  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
    1379 cites at Google Scholar
    939% above average of year
    Last visited: Feb-2023
    Paper: DOI
  97. 97
    Ian T. Foster, Carl Kesselman, Gene Tsudik, and Steven Tuecke:
    A Security Architecture for Computational Grids.
    ACM Conference on Computer and Communications Security (CCS), 1998
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    930% above average of year
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  98. 98
    Steven P. Reiss:
    Practical Data-Swapping: The First Steps.
    IEEE Symposium on Security and Privacy, 1980
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    925% above average of year
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    Paper: DOI
  99. 99
    Sencun Zhu, Sanjeev Setia, and Sushil Jajodia:
    LEAP: efficient security mechanisms for large-scale distributed sensor networks.
    ACM Conference on Computer and Communications Security (CCS), 2003
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    924% above average of year
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    Paper: DOI
  100. 100
    Dongyu Meng and Hao Chen:
    MagNet: A Two-Pronged Defense against Adversarial Examples.
    ACM Conference on Computer and Communications Security (CCS), 2017
    1068 cites at Google Scholar
    923% above average of year
    Last visited: Mar-2023
    Paper: DOI

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Last updated: 2023-03-17 18:52:45 CET