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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
    7972 cites at Google Scholar
    6380% above average of year
    Last visited: Oct-2023
    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
    121 cites at Google Scholar
    4448% above average of year
    Last visited: Oct-2023
    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
    6334 cites at Google Scholar
    4401% above average of year
    Last visited: Oct-2023
    Paper: DOI
  4. 4
    Maurice Weber, Xiaojun Xu, Bojan Karlas, Ce Zhang, and Bo Li:
    RAB: Provable Robustness Against Backdoor Attacks.
    IEEE Symposium on Security and Privacy, 2023
    97 cites at Google Scholar
    3546% above average of year
    Last visited: Oct-2023
    Paper: DOI
  5. 5
    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
    2596 cites at Google Scholar
    3392% above average of year
    Last visited: Oct-2023
    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
    6771 cites at Google Scholar
    3269% above average of year
    Last visited: Oct-2023
    Paper: DOI
  7. 7
    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
    4897 cites at Google Scholar
    3142% above average of year
    Last visited: Oct-2023
    Paper: DOI
  8. 8
    Linyi Li, Tao Xie, and Bo Li:
    SoK: Certified Robustness for Deep Neural Networks.
    IEEE Symposium on Security and Privacy, 2023
    86 cites at Google Scholar
    3133% above average of year
    Last visited: Oct-2023
    Paper: DOI
  9. 9
    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, 2023
    86 cites at Google Scholar
    3133% above average of year
    Last visited: Oct-2023
    Paper: DOI
  10. 10
    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
    779 cites at Google Scholar
    3076% above average of year
    Last visited: Oct-2023
    Paper: DOI
  11. 11
    Stephanie Forrest, Alan S. Perelson, Lawrence Allen, and Rajesh Cherukuri:
    Self-nonself discrimination in a computer.
    IEEE Symposium on Security and Privacy, 1994
    3203 cites at Google Scholar
    2996% above average of year
    Last visited: Oct-2023
    Paper: DOI
  12. 12
    John Bethencourt, Amit Sahai, and Brent Waters:
    Ciphertext-Policy Attribute-Based Encryption.
    IEEE Symposium on Security and Privacy, 2007
    6509 cites at Google Scholar
    2947% above average of year
    Last visited: Oct-2023
    Paper: DOI
  13. 13
    D. F. C. Brewer and Michael J. Nash:
    The Chinese Wall Security Policy.
    IEEE Symposium on Security and Privacy, 1989
    1496 cites at Google Scholar
    2918% above average of year
    Last visited: Oct-2023
    Paper: DOI
  14. 14
    Dawn Xiaodong Song, David A. Wagner, and Adrian Perrig:
    Practical Techniques for Searches on Encrypted Data.
    IEEE Symposium on Security and Privacy, 2000
    4794 cites at Google Scholar
    2765% above average of year
    Last visited: Oct-2023
    Paper: DOI
  15. 15
    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
    4221 cites at Google Scholar
    2694% above average of year
    Last visited: Oct-2023
    Paper: DOI
  16. 16
    Reza Shokri, Marco Stronati, Congzheng Song, and Vitaly Shmatikov:
    Membership Inference Attacks Against Machine Learning Models.
    IEEE Symposium on Security and Privacy, 2017
    3407 cites at Google Scholar
    2670% above average of year
    Last visited: Oct-2023
    Paper: DOI
  17. 17
    Roger Dingledine, Nick Mathewson, and Paul F. Syverson:
    Tor: The Second-Generation Onion Router.
    USENIX Security Symposium, 2004
    5727 cites at Google Scholar
    2526% above average of year
    Last visited: Oct-2023
    Paper: DOI
  18. 18
    Steven M. Bellovin and Michael Merritt:
    Encrypted key exchange: password-based protocols secure against dictionary attacks.
    IEEE Symposium on Security and Privacy, 1992
    2192 cites at Google Scholar
    2304% above average of year
    Last visited: Oct-2023
    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, 2022
    210 cites at Google Scholar
    2058% above average of year
    Last visited: Oct-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
    3256 cites at Google Scholar
    2056% above average of year
    Last visited: Oct-2023
    Paper: DOI
  21. 21
    Vern Paxson:
    Bro: A System for Detecting Network Intruders in Real-Time.
    USENIX Security Symposium, 1998
    3994 cites at Google Scholar
    2017% above average of year
    Last visited: Oct-2023
    Paper: DOI
  22. 22
    Matt Blaze, Joan Feigenbaum, and Jack Lacy:
    Decentralized Trust Management.
    IEEE Symposium on Security and Privacy, 1996
    3438 cites at Google Scholar
    2012% above average of year
    Last visited: Oct-2023
    Paper: DOI
  23. 23
    Laurent Eschenauer and Virgil D. Gligor:
    A key-management scheme for distributed sensor networks.
    ACM Conference on Computer and Communications Security (CCS), 2002
    5498 cites at Google Scholar
    1987% above average of year
    Last visited: Oct-2023
    Paper: DOI
  24. 24
    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
    2566 cites at Google Scholar
    1884% above average of year
    Last visited: Oct-2023
    Paper: DOI
  25. 25
    Li Gong, Roger M. Needham, and Raphael Yahalom:
    Reasoning about Belief in Cryptographic Protocols.
    IEEE Symposium on Security and Privacy, 1990
    1036 cites at Google Scholar
    1881% above average of year
    Last visited: Oct-2023
    Paper: DOI
  26. 26
    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
    192 cites at Google Scholar
    1873% above average of year
    Last visited: Oct-2023
    Paper: DOI
  27. 27
    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
    2384 cites at Google Scholar
    1838% above average of year
    Last visited: Oct-2023
    Paper: DOI
  28. 28
    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
    2848 cites at Google Scholar
    1785% above average of year
    Last visited: Oct-2023
    Paper: DOI
  29. 29
    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
    3052 cites at Google Scholar
    1775% above average of year
    Last visited: Oct-2023
    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
    2522 cites at Google Scholar
    1770% above average of year
    Last visited: Oct-2023
    Paper: DOI
  31. 31
    Arvind Narayanan and Vitaly Shmatikov:
    Robust De-anonymization of Large Sparse Datasets.
    IEEE Symposium on Security and Privacy, 2008
    3109 cites at Google Scholar
    1757% above average of year
    Last visited: Oct-2023
    Paper: DOI
  32. 32
    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
    180 cites at Google Scholar
    1750% above average of year
    Last visited: Oct-2023
    Paper: DOI
  33. 33
    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
    3404 cites at Google Scholar
    1737% above average of year
    Last visited: Oct-2023
    Paper: DOI
  34. 34
    Yajin Zhou and Xuxian Jiang:
    Dissecting Android Malware: Characterization and Evolution.
    IEEE Symposium on Security and Privacy, 2012
    2912 cites at Google Scholar
    1735% above average of year
    Last visited: Oct-2023
    Paper: DOI
  35. 35
    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
    3893 cites at Google Scholar
    1723% above average of year
    Last visited: Oct-2023
    Paper: DOI
  36. 36
    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, 2023
    48 cites at Google Scholar
    1704% above average of year
    Last visited: Oct-2023
    Paper: DOI
  37. 37
    Dorothy E. Denning:
    An Intrusion-Detection Model.
    IEEE Symposium on Security and Privacy, 1986
    6199 cites at Google Scholar
    1694% above average of year
    Last visited: Oct-2023
    Paper: DOI
  38. 38
    Reza Shokri and Vitaly Shmatikov:
    Privacy-Preserving Deep Learning.
    ACM Conference on Computer and Communications Security (CCS), 2015
    2299 cites at Google Scholar
    1677% above average of year
    Last visited: Oct-2023
    Paper: DOI
  39. 39
    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
    2182 cites at Google Scholar
    1674% above average of year
    Last visited: Oct-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
    1301 cites at Google Scholar
    1650% above average of year
    Last visited: Oct-2023
    Paper: DOI
  41. 41
    Kaihua Qin, Liyi Zhou, and Arthur Gervais:
    Quantifying Blockchain Extractable Value: How dark is the forest?
    IEEE Symposium on Security and Privacy, 2022
    170 cites at Google Scholar
    1647% above average of year
    Last visited: Oct-2023
    Paper: DOI
  42. 42
    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
    2283 cites at Google Scholar
    1593% above average of year
    Last visited: Oct-2023
    Paper: DOI
  43. 43
    Weilin Xu, David Evans, and Yanjun Qi:
    Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks.
    Network and Distributed System Security Symposium (NDSS), 2018
    1708 cites at Google Scholar
    1579% above average of year
    Last visited: Oct-2023
    Paper: DOI
  44. 44
    Haowen Chan, Adrian Perrig, and Dawn Xiaodong Song:
    Random Key Predistribution Schemes for Sensor Networks.
    IEEE Symposium on Security and Privacy, 2003
    4387 cites at Google Scholar
    1519% above average of year
    Last visited: Oct-2023
    Paper: DOI
  45. 45
    Alessandro Acquisti and Ralph Gross:
    Imagined Communities: Awareness, Information Sharing, and Privacy on the Facebook.
    International Symposium on Privacy Enhancing Technologies (PETS), 2006
    3243 cites at Google Scholar
    1514% above average of year
    Last visited: Oct-2023
    Paper: DOI
  46. 46
    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
    3222 cites at Google Scholar
    1503% above average of year
    Last visited: Oct-2023
    Paper: DOI
  47. 47
    Jeffrey O. Kephart and Steve R. White:
    Directed-Graph Epidemiological Models of Computer Viruses.
    IEEE Symposium on Security and Privacy, 1991
    1202 cites at Google Scholar
    1498% above average of year
    Last visited: Oct-2023
    Paper: DOI
  48. 48
    Minghong Fang, Xiaoyu Cao, Jinyuan Jia, and Neil Zhenqiang Gong:
    Local Model Poisoning Attacks to Byzantine-Robust Federated Learning.
    USENIX Security Symposium, 2020
    705 cites at Google Scholar
    1479% above average of year
    Last visited: Oct-2023
    Paper: DOI
  49. 49
    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
    2917 cites at Google Scholar
    1474% above average of year
    Last visited: Oct-2023
    Paper: DOI
  50. 50
    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
    1143 cites at Google Scholar
    1438% above average of year
    Last visited: Oct-2023
    Paper: DOI
  51. 51
    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
    1552 cites at Google Scholar
    1425% above average of year
    Last visited: Oct-2023
    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
    2005 cites at Google Scholar
    1387% above average of year
    Last visited: Oct-2023
    Paper: DOI
  53. 53
    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
    2350 cites at Google Scholar
    1371% above average of year
    Last visited: Oct-2023
    Paper: DOI
  54. 54
    Joseph A. Goguen and José Meseguer:
    Security Policies and Security Models.
    IEEE Symposium on Security and Privacy, 1982
    3043 cites at Google Scholar
    1348% above average of year
    Last visited: Oct-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
    2145 cites at Google Scholar
    1320% above average of year
    Last visited: Oct-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
    1053 cites at Google Scholar
    1316% above average of year
    Last visited: Oct-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
    1270 cites at Google Scholar
    1293% above average of year
    Last visited: Sep-2023
    Paper: DOI
  58. 58
    Payman Mohassel and Yupeng Zhang:
    SecureML: A System for Scalable Privacy-Preserving Machine Learning.
    IEEE Symposium on Security and Privacy, 2017
    1696 cites at Google Scholar
    1279% above average of year
    Last visited: Oct-2023
    Paper: DOI
  59. 59
    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
    2374 cites at Google Scholar
    1254% above average of year
    Last visited: Oct-2023
    Paper: DOI
  60. 60
    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
    130 cites at Google Scholar
    1236% above average of year
    Last visited: Oct-2023
    Paper: DOI
  61. 61
    Ari Juels and Martin Wattenberg:
    A Fuzzy Commitment Scheme.
    ACM Conference on Computer and Communications Security (CCS), 1999
    2184 cites at Google Scholar
    1220% above average of year
    Last visited: Oct-2023
    Paper: DOI
  62. 62
    David D. Clark and D. R. Wilson:
    A Comparison of Commercial and Military Computer Security Policies.
    IEEE Symposium on Security and Privacy, 1987
    1997 cites at Google Scholar
    1218% above average of year
    Last visited: Oct-2023
    Paper: DOI
  63. 63
    Ari Juels and Burton S. Kaliski Jr.:
    Pors: proofs of retrievability for large files.
    ACM Conference on Computer and Communications Security (CCS), 2007
    2798 cites at Google Scholar
    1210% above average of year
    Last visited: Oct-2023
    Paper: DOI
  64. 64
    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
    320 cites at Google Scholar
    1204% above average of year
    Last visited: Oct-2023
    Paper: DOI
  65. 65
    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, 2022
    126 cites at Google Scholar
    1195% above average of year
    Last visited: Oct-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
    1736 cites at Google Scholar
    1187% above average of year
    Last visited: Aug-2023
    Paper: DOI
  67. 67
    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
    2075 cites at Google Scholar
    1155% above average of year
    Last visited: Oct-2023
    Paper: DOI
  68. 68
    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
    2361 cites at Google Scholar
    1151% above average of year
    Last visited: Oct-2023
    Paper: DOI
  69. 69
    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
    2056 cites at Google Scholar
    1144% above average of year
    Last visited: Oct-2023
    Paper: DOI
  70. 70
    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
    2040 cites at Google Scholar
    1133% above average of year
    Last visited: Oct-2023
    Paper: DOI
  71. 71
    Thomas Beth, Malte Borcherding, and Birgit Klein:
    Valuation of Trust in Open Networks.
    European Symposium on Research in Computer Security (ESORICS), 1994
    1263 cites at Google Scholar
    1121% above average of year
    Last visited: Oct-2023
    Paper: DOI
  72. 72
    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
    1579 cites at Google Scholar
    1121% above average of year
    Last visited: Oct-2023
    Paper: DOI
  73. 73
    Jianbo Chen, Michael I. Jordan, and Martin J. Wainwright:
    HopSkipJumpAttack: A Query-Efficient Decision-Based Attack.
    IEEE Symposium on Security and Privacy, 2020
    535 cites at Google Scholar
    1098% above average of year
    Last visited: Oct-2023
    Paper: DOI
  74. 74
    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
    31 cites at Google Scholar
    1065% above average of year
    Last visited: Oct-2023
    Paper: DOI
  75. 75
    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, 2023
    31 cites at Google Scholar
    1065% above average of year
    Last visited: Oct-2023
    Paper: DOI
  76. 76
    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
    31 cites at Google Scholar
    1065% above average of year
    Last visited: Oct-2023
    Paper: DOI
  77. 77
    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
    2042 cites at Google Scholar
    1065% above average of year
    Last visited: Oct-2023
    Paper: DOI
  78. 78
    Florian Tramèr, Fan Zhang, Ari Juels, Michael K. Reiter, and Thomas Ristenpart:
    Stealing Machine Learning Models via Prediction APIs.
    USENIX Security Symposium, 2016
    1758 cites at Google Scholar
    1064% above average of year
    Last visited: Oct-2023
    Paper: DOI
  79. 79
    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
    865 cites at Google Scholar
    1064% above average of year
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    Paper: DOI
  80. 80
    Alma Whitten and J. Doug Tygar:
    Why Johnny Can't Encrypt: A Usability Evaluation of PGP 5.0.
    USENIX Security Symposium, 1999
    1923 cites at Google Scholar
    1062% above average of year
    Last visited: Oct-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
    1851 cites at Google Scholar
    1059% above average of year
    Last visited: Oct-2023
    Paper: DOI
  82. 82
    Martín Abadi and Andrew D. Gordon:
    A Calculus for Cryptographic Protocols: The Spi Calculus.
    ACM Conference on Computer and Communications Security (CCS), 1997
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    1054% above average of year
    Last visited: Oct-2023
    Paper: DOI
  83. 83
    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
    1170 cites at Google Scholar
    1050% above average of year
    Last visited: Oct-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
    1728 cites at Google Scholar
    1044% above average of year
    Last visited: Oct-2023
    Paper: DOI
  85. 85
    Wenke Lee and Salvatore J. Stolfo:
    Data Mining Approaches for Intrusion Detection.
    USENIX Security Symposium, 1998
    2134 cites at Google Scholar
    1031% above average of year
    Last visited: Oct-2023
    Paper: DOI
  86. 86
    Christina Warrender, Stephanie Forrest, and Barak A. Pearlmutter:
    Detecting Intrusions using System Calls: Alternative Data Models.
    IEEE Symposium on Security and Privacy, 1999
    1858 cites at Google Scholar
    1023% above average of year
    Last visited: Oct-2023
    Paper: DOI
  87. 87
    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
    2079 cites at Google Scholar
    1002% above average of year
    Last visited: Oct-2023
    Paper: DOI
  88. 88
    Ralph C. Merkle:
    Protocols for Public Key Cryptosystems.
    IEEE Symposium on Security and Privacy, 1980
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    991% above average of year
    Last visited: Oct-2023
    Paper: DOI
  89. 89
    Ehud Aharoni, Allon Adir, Moran Baruch, Nir Drucker, Gilad Ezov, Ariel Farkash, Lev Greenberg, Ramy Masalha, Guy Moshkowich, Dov Murik, Hayim Shaul, and Omri Soceanu:
    HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data.
    Proceedings on Privacy Enhancing Technologies, 2023
    29 cites at Google Scholar
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    Last visited: Oct-2023
    Paper: DOI
  90. 90
    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
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    988% above average of year
    Last visited: Oct-2023
    Paper: DOI
  91. 91
    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
    1619 cites at Google Scholar
    972% above average of year
    Last visited: Oct-2023
    Paper: DOI
  92. 92
    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
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    969% above average of year
    Last visited: Oct-2023
    Paper: DOI
  93. 93
    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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    955% above average of year
    Last visited: Oct-2023
    Paper: DOI
  94. 94
    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, 2023
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    Paper: DOI
  95. 95
    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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    948% above average of year
    Last visited: Oct-2023
    Paper: DOI
  96. 96
    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
    762 cites at Google Scholar
    925% above average of year
    Last visited: Oct-2023
    Paper: DOI
  97. 97
    Briland Hitaj, Giuseppe Ateniese, and Fernando Pérez-Cruz:
    Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.
    ACM Conference on Computer and Communications Security (CCS), 2017
    1256 cites at Google Scholar
    921% above average of year
    Last visited: Oct-2023
    Paper: DOI
  98. 98
    Min Du, Feifei Li, Guineng Zheng, and Vivek Srikumar:
    DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning.
    ACM Conference on Computer and Communications Security (CCS), 2017
    1254 cites at Google Scholar
    919% above average of year
    Last visited: Oct-2023
    Paper: DOI
  99. 99
    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
    248 cites at Google Scholar
    911% above average of year
    Last visited: Oct-2023
    Paper: DOI
  100. 100
    Patrice Godefroid, Michael Y. Levin, and David A. Molnar:
    Automated Whitebox Fuzz Testing.
    Network and Distributed System Security Symposium (NDSS), 2008
    1688 cites at Google Scholar
    908% above average of year
    Last visited: Oct-2023
    Paper: DOI

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Last updated: 2023-10-31 10:01:45 CET