David Evans

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 70

Top Venues

CoRR

IACR Cryptol. ePrint Arch.

IEEE Trans. Inf. Forensics Secur.

Proc. Priv. Enhancing Technol.

Publications

Josephine Lamp, Lu Feng, David Evans
DP-RuL: Differentially-Private Rule Learning for Clinical Decision Support Systems. CoRR (2024)
Michael Duan, Anshuman Suri, Niloofar Mireshghallah, Sewon Min, Weijia Shi, Luke Zettlemoyer, Yulia Tsvetkov, Yejin Choi, David Evans, Hannaneh Hajishirzi
Do Membership Inference Attacks Work on Large Language Models? CoRR (2024)
Anshuman Suri, Xiao Zhang, David Evans
Do Parameters Reveal More than Loss for Membership Inference? CoRR (2024)
Fnu Suya, Anshuman Suri, Tingwei Zhang, Jingtao Hong, Yuan Tian, David Evans
SoK: Pitfalls in Evaluating Black-Box Attacks. SaTML (2024)
Yulong Tian, Fnu Suya, Anshuman Suri, Fengyuan Xu, David Evans
Manipulating Transfer Learning for Property Inference. CVPR (2023)
Anshuman Suri, Yifu Lu, Yanjin Chen, David Evans
Dissecting Distribution Inference. SaTML (2023)
Lingxiao Wang, Bargav Jayaraman, David Evans, Quanquan Gu
Efficient Privacy-Preserving Stochastic Nonconvex Optimization. UAI (2023)
Valentin Hartmann, Anshuman Suri, Vincent Bindschaedler, David Evans, Shruti Tople, Robert West
SoK: Memorization in General-Purpose Large Language Models. CoRR (2023)
Fnu Suya, Xiao Zhang, Yuan Tian, David Evans
When Can Linear Learners be Robust to Indiscriminate Poisoning Attacks? CoRR (2023)
Fnu Suya, Xiao Zhang, Yuan Tian, David Evans
What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners? NeurIPS (2023)
Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella Béguelin
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning. SP (2023)
Fnu Suya, Anshuman Suri, Tingwei Zhang, Jingtao Hong, Yuan Tian, David Evans
SoK: Pitfalls in Evaluating Black-Box Attacks. CoRR (2023)
Evan Rose, Fnu Suya, David Evans
Understanding Variation in Subpopulation Susceptibility to Poisoning Attacks. CoRR (2023)
Hojjat Aghakhani, Wei Dai, Andre Manoel, Xavier Fernandes, Anant Kharkar, Christopher Kruegel, Giovanni Vigna, David Evans, Ben Zorn, Robert Sim
TrojanPuzzle: Covertly Poisoning Code-Suggestion Models. CoRR (2023)
Rachel Cummings, Damien Desfontaines, David Evans, Roxana Geambasu, Matthew Jagielski, Yangsibo Huang, Peter Kairouz, Gautam Kamath, Sewoong Oh, Olga Ohrimenko, Nicolas Papernot, Ryan Rogers, Milan Shen, Shuang Song, Weijie J. Su, Andreas Terzis, Abhradeep Thakurta, Sergei Vassilvitskii, Yu-Xiang Wang, Li Xiong, Sergey Yekhanin, Da Yu, Huanyu Zhang, Wanrong Zhang
Challenges towards the Next Frontier in Privacy. CoRR (2023)
Yulong Tian, Fnu Suya, Anshuman Suri, Fengyuan Xu, David Evans
Manipulating Transfer Learning for Property Inference. CoRR (2023)
Bargav Jayaraman, David Evans
Are Attribute Inference Attacks Just Imputation? CoRR (2022)
Anshuman Suri, David Evans
Formalizing and Estimating Distribution Inference Risks. Proc. Priv. Enhancing Technol. 2022 (4) (2022)
Yulong Tian, Fnu Suya, Fengyuan Xu, David Evans
Stealthy Backdoors as Compression Artifacts. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Anshuman Suri, Yifu Lu, Yanjin Chen, David Evans
Dissecting Distribution Inference. CoRR (2022)
Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella Béguelin
SoK: Let The Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning. CoRR (2022)
Bargav Jayaraman, David Evans
Are Attribute Inference Attacks Just Imputation? CCS (2022)
Hussain M. J. Almohri, Layne T. Watson, David Evans, Stephen C. Billups
Dynamic System Diversification for Securing Cloud-based IoT Subnetworks. ACM Trans. Auton. Adapt. Syst. 17 (2022)
Anshuman Suri, David Evans
Formalizing and Estimating Distribution Inference Risks. CoRR (2021)
Yulong Tian, Fnu Suya, Fengyuan Xu, David Evans
Stealthy Backdoors as Compression Artifacts. CoRR (2021)
Anshuman Suri, David Evans
Formalizing Distribution Inference Risks. CoRR (2021)
Fnu Suya, Saeed Mahloujifar, Anshuman Suri, David Evans, Yuan Tian
Model-Targeted Poisoning Attacks with Provable Convergence. ICML (2021)
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao
Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. 14 (1-2) (2021)
Bargav Jayaraman, Lingxiao Wang, Katherine Knipmeyer, Quanquan Gu, David Evans
Revisiting Membership Inference Under Realistic Assumptions. Proc. Priv. Enhancing Technol. 2021 (2) (2021)
Hussain M. J. Almohri, Layne T. Watson, David Evans
Predictability of IP Address Allocations for Cloud Computing Platforms. IEEE Trans. Inf. Forensics Secur. 15 (2020)
Bargav Jayaraman, Lingxiao Wang, David Evans, Quanquan Gu
Revisiting Membership Inference Under Realistic Assumptions. CoRR (2020)
Hussain M. J. Almohri, Layne T. Watson, David Evans
An Attack-Resilient Architecture for the Internet of Things. IEEE Trans. Inf. Forensics Secur. 15 (2020)
Fnu Suya, Jianfeng Chi, David Evans, Yuan Tian
Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries. USENIX Security Symposium (2020)
Sicheng Zhu, Xiao Zhang, David Evans
Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization. ICML (2020)
Fnu Suya, Saeed Mahloujifar, David Evans, Yuan Tian
Model-Targeted Poisoning Attacks: Provable Convergence and Certified Bounds. CoRR (2020)
Xiao Zhang, Jinghui Chen, Quanquan Gu, David Evans
Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models. AISTATS (2020)
Sicheng Zhu, Xiao Zhang, David Evans
Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization. CoRR (2020)
Xiao Zhang, Jinghui Chen, Quanquan Gu, David Evans
Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models. CoRR (2020)
Anshuman Suri, David Evans
One Neuron to Fool Them All. CoRR (2020)
Bargav Jayaraman, David Evans
When Relaxations Go Bad: "Differentially-Private" Machine Learning. CoRR (2019)
Xiao Zhang, David Evans
Cost-Sensitive Robustness against Adversarial Examples. ICLR (Poster) (2019)
Bargav Jayaraman, David Evans
Evaluating Differentially Private Machine Learning in Practice. USENIX Security Symposium (2019)
Saeed Mahloujifar, Xiao Zhang, Mohammad Mahmoody, David Evans
Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness. NeurIPS (2019)
Lingxiao Wang, Bargav Jayaraman, David Evans, Quanquan Gu
Efficient Privacy-Preserving Nonconvex Optimization. CoRR (2019)
Mohammad Samin Yasar, David Evans, Homa Alemzadeh
Context-aware Monitoring in Robotic Surgery. CoRR (2019)
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao
Advances and Open Problems in Federated Learning. CoRR (2019)
Saeed Mahloujifar, Xiao Zhang, Mohammad Mahmoody, David Evans
Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness. CoRR (2019)
Fnu Suya, Jianfeng Chi, David Evans, Yuan Tian
Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries. CoRR (2019)
Mohammad Samin Yasar, David Evans, Homa Alemzadeh
Context-aware Monitoring in Robotic Surgery. ISMR (2019)
Hussain M. J. Almohri, David Evans
Fidelius Charm: Isolating Unsafe Rust Code. CODASPY (2018)
Bargav Jayaraman, Lingxiao Wang, David Evans, Quanquan Gu
Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization. NeurIPS (2018)
David Evans, Vladimir Kolesnikov, Mike Rosulek
A Pragmatic Introduction to Secure Multi-Party Computation. Found. Trends Priv. Secur. 2 (2-3) (2018)
Hyrum S. Anderson, Anant Kharkar, Bobby Filar, David Evans, Phil Roth
Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning. CoRR (2018)
Mohammad Etemad, Mohammad Mahmoody, David Evans
Optimizing Trees for Static Searchable Encryption. IACR Cryptol. ePrint Arch. 2018 (2018)
Xiao Zhang, David Evans
Cost-Sensitive Robustness against Adversarial Examples. CoRR (2018)
Mohammad Etemad, Alptekin Küpçü, Charalampos Papamanthou, David Evans
Efficient Dynamic Searchable Encryption with Forward Privacy. Proc. Priv. Enhancing Technol. 2018 (1) (2018)
Hussain M. J. Almohri, Layne T. Watson, David Evans
Misery Digraphs: Delaying Intrusion Attacks in Obscure Clouds. IEEE Trans. Inf. Forensics Secur. 13 (6) (2018)
Weilin Xu, David Evans, Yanjun Qi
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks. NDSS (2018)
Weilin Xu, David Evans, Yanjun Qi
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks. CoRR (2017)
Hannah Li, David Evans
Horcrux: A Password Manager for Paranoids. CoRR (2017)
Adrià Gascón, Phillipp Schoppmann, Borja Balle, Mariana Raykova, Jack Doerner, Samee Zahur, David Evans
Privacy-Preserving Distributed Linear Regression on High-Dimensional Data. Proc. Priv. Enhancing Technol. 2017 (4) (2017)
Bargav Jayaraman, Hannah Li, David Evans
Decentralized Certificate Authorities. CoRR (2017)
Fnu Suya, Yuan Tian, David Evans, Paolo Papotti
Query-limited Black-box Attacks to Classifiers. CoRR (2017)
Mohammad Etemad, Alptekin Küpçü, Charalampos Papamanthou, David Evans
Efficient Dynamic Searchable Encryption with Forward Privacy. CoRR (2017)
Weilin Xu, David Evans, Yanjun Qi
Feature Squeezing Mitigates and Detects Carlini/Wagner Adversarial Examples. CoRR (2017)
Weilin Xu, Yanjun Qi, David Evans
Automatically Evading Classifiers: A Case Study on PDF Malware Classifiers. NDSS (2016)
Adrià Gascón, Phillipp Schoppmann, Borja Balle, Mariana Raykova, Jack Doerner, Samee Zahur, David Evans
Secure Linear Regression on Vertically Partitioned Datasets. IACR Cryptol. ePrint Arch. 2016 (2016)
Jack Doerner, David Evans, Abhi Shelat
Secure Stable Matching at Scale. IACR Cryptol. ePrint Arch. 2016 (2016)
Samee Zahur, Xiao Wang, Mariana Raykova, Adrià Gascón, Jack Doerner, David Evans, Jonathan Katz
Revisiting Square-Root ORAM: Efficient Random Access in Multi-party Computation. IEEE Symposium on Security and Privacy (2016)
Jack Doerner, David Evans, Abhi Shelat
Secure Stable Matching at Scale. CCS (2016)
Yuchen Zhou, David Evans
Understanding and Monitoring Embedded Web Scripts. IEEE Symposium on Security and Privacy (2015)
Samee Zahur, Mike Rosulek, David Evans
Two Halves Make a Whole - Reducing Data Transfer in Garbled Circuits Using Half Gates. EUROCRYPT (2) (2015)
Samee Zahur, David Evans
Obliv-C: A Language for Extensible Data-Oblivious Computation. IACR Cryptol. ePrint Arch. 2015 (2015)
Yuchen Zhou, David Evans
SSOScan: Automated Testing of Web Applications for Single Sign-On Vulnerabilities. USENIX Security Symposium (2014)
Samee Zahur, Mike Rosulek, David Evans
Two Halves Make a Whole: Reducing Data Transfer in Garbled Circuits using Half Gates. IACR Cryptol. ePrint Arch. 2014 (2014)
Rui Wang, Yuchen Zhou, Shuo Chen, Shaz Qadeer, David Evans, Yuri Gurevich
Explicating SDKs: Uncovering Assumptions Underlying Secure Authentication and Authorization. USENIX Security Symposium (2013)
Yan Huang, Jonathan Katz, David Evans
Efficient Secure Two-Party Computation Using Symmetric Cut-and-Choose. CRYPTO (2) (2013)
Yan Huang, Jonathan Katz, David Evans
Efficient Secure Two-Party Computation Using Symmetric Cut-and-Choose. IACR Cryptol. ePrint Arch. 2013 (2013)
Samee Zahur, David Evans
Circuit Structures for Improving Efficiency of Security and Privacy Tools. IEEE Symposium on Security and Privacy (2013)
Yan Huang, Jonathan Katz, David Evans
Quid-Pro-Quo-tocols: Strengthening Semi-honest Protocols with Dual Execution. IEEE Symposium on Security and Privacy (2012)
Yan Huang, David Evans, Jonathan Katz
Private Set Intersection: Are Garbled Circuits Better than Custom Protocols? NDSS (2012)
Jonathan Burket, Patrick Mutchler, Michael Weaver, Muzzammil Zaveri, David Evans
GuardRails: A Data-Centric Web Application Security Framework. WebApps (2011)
Yan Huang, David Evans, Jonathan Katz, Lior Malka
Faster Secure Two-Party Computation Using Garbled Circuits. USENIX Security Symposium (2011)
Yan Huang, Peter Chapman, David Evans
Privacy-Preserving Applications on Smartphones. HotSec (2011)
Salvatore J. Stolfo, Steven M. Bellovin, David Evans
Measuring Security. IEEE Secur. Priv. 9 (3) (2011)
Yan Huang, Chih-Hao Shen, David Evans, Jonathan Katz, Abhi Shelat
Efficient Secure Computation with Garbled Circuits. ICISS (2011)
Yan Huang, David Evans
Private Editing Using Untrusted Cloud Services. ICDCS Workshops (2011)
David Evans, Salvatore J. Stolfo
Guest Editors' Introduction: The Science of Security. IEEE Secur. Priv. 9 (3) (2011)
Yikan Chen, David Evans
Auditing Information Leakage for Distance Metrics. SocialCom/PASSAT (2011)
Yuchen Zhou, David Evans
Protecting Private Web Content from Embedded Scripts. ESORICS (2011)
Yan Huang, Lior Malka, David Evans, Jonathan Katz
Efficient Privacy-Preserving Biometric Identification. NDSS (2011)
Peter Chapman, David Evans
Automated black-box detection of side-channel vulnerabilities in web applications. CCS (2011)
Karsten Nohl, David Evans
Privacy through Noise: A Design Space for Private Identification. ACSAC (2009)
Anh Nguyen-Tuong, David Evans, John C. Knight, Benjamin Cox, Jack W. Davidson
Security through redundant data diversity. DSN (2008)
Karsten Nohl, David Evans
Hiding in Groups: On the Expressiveness of Privacy Distributions. SEC (2008)
Jeff Shirley, David Evans
The user is not the enemy: fighting malware by tracking user intentions. NSPW (2008)
Karsten Nohl, David Evans, Starbug, Henryk Plötz
Reverse-Engineering a Cryptographic RFID Tag. USENIX Security Symposium (2008)
Adrienne Felt, Pieter Hooimeijer, David Evans, Westley Weimer
Talking to strangers without taking their candy: isolating proxied content. SNS (2008)
Nathanael Paul, David Evans
Comparing Java and .NET security: Lessons learned and missed. Comput. Secur. 25 (5) (2006)
Karsten Nohl, David Evans
Quantifying Information Leakage in Tree-Based Hash Protocols (Short Paper). ICICS (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

David Evans