David Evans - RankMe

150 papers A* 37A 8B 1C 3Misc 3Journal 75Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Privacy in Theory, Bugs in Practice: Grey-Box Auditing of Differential Privacy Libraries. CoRR Tudor Cebere, David Evans, Damien Desfontaines, Aurélien Bellet, Jack Fitzsimons
2026	J	`jnl`	White-Box Sensitivity Auditing with Steering Vectors. CoRR Hannah Cyberey, Yangfeng Ji, David Evans
2025	J	`jnl`	Pitfalls in Evaluating Inference-time Methods for Improving LLM Reliability. Trans. Mach. Learn. Res. Michael M. Jerge, David Evans
2025	J	`jnl`	Sensing and Steering Stereotypes: Extracting and Applying Gender Representation Vectors in LLMs. CoRR Hannah Cyberey, Yangfeng Ji, David Evans
2025	J	`jnl`	Steering the CensorShip: Uncovering Representation Vectors for LLM "Thought" Control. CoRR Hannah Cyberey, David Evans
2025	A*	`conf`	Unsupervised Concept Vector Extraction for Bias Control in LLMs. EMNLP Hannah Cyberey, Yangfeng Ji, David Evans
2024	—	`conf`	Addressing Both Statistical and Causal Gender Fairness in NLP Models. NAACL-HLT (Findings) Hannah Chen, Yangfeng Ji, David Evans
2024	J	`jnl`	Addressing Both Statistical and Causal Gender Fairness in NLP Models. CoRR Hannah Chen, Yangfeng Ji, David Evans
2024	A*	`conf`	Combing for Credentials: Active Pattern Extraction from Smart Reply. SP Bargav Jayaraman, Esha Ghosh, Melissa Chase, Sambuddha Roy, Wei Dai, David Evans
2024	J	`jnl`	DP-RuL: Differentially-Private Rule Learning for Clinical Decision Support Systems. CoRR Josephine Lamp, Lu Feng, David Evans
2024	J	`jnl`	Do Membership Inference Attacks Work on Large Language Models? CoRR Michael Duan, Anshuman Suri, Niloofar Mireshghallah, Sewon Min, Weijia Shi, Luke Zettlemoyer, Yulia Tsvetkov, Yejin Choi, David Evans, Hannaneh Hajishirzi
2024	J	`jnl`	Do Parameters Reveal More than Loss for Membership Inference? CoRR Anshuman Suri, Xiao Zhang, David Evans
2024	J	`jnl`	Do Parameters Reveal More than Loss for Membership Inference? Trans. Mach. Learn. Res. Anshuman Suri, Xiao Zhang, David Evans
2024	—	`conf`	SoK: Pitfalls in Evaluating Black-Box Attacks. SaTML Fnu Suya, Anshuman Suri, Tingwei Zhang, Jingtao Hong, Yuan Tian, David Evans
2024	J	`jnl`	The Mismeasure of Man and Models: Evaluating Allocational Harms in Large Language Models. CoRR Hannah Chen, Yangfeng Ji, David Evans
2024	A*	`conf`	TrojanPuzzle: Covertly Poisoning Code-Suggestion Models. SP Hojjat Aghakhani, Wei Dai, Andre Manoel, Xavier Fernandes, Anant Kharkar, Christopher Kruegel, Giovanni Vigna, David Evans, Ben Zorn, Robert Sim
2023	J	`jnl`	Challenges towards the Next Frontier in Privacy. CoRR 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
2023	—	`conf`	Dissecting Distribution Inference. SaTML Anshuman Suri, Yifu Lu, Yanjin Chen, David Evans
2023	A	`conf`	Efficient Privacy-Preserving Stochastic Nonconvex Optimization. UAI Lingxiao Wang, Bargav Jayaraman, David Evans, Quanquan Gu
2023	J	`jnl`	GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces. CoRR Josephine Lamp, Mark Derdzinski, Christopher Hannemann, Joost van der Linden, Lu Feng, Tianhao Wang, David Evans
2023	A*	`conf`	Manipulating Transfer Learning for Property Inference. CVPR Yulong Tian, Fnu Suya, Anshuman Suri, Fengyuan Xu, David Evans
2023	J	`jnl`	Manipulating Transfer Learning for Property Inference. CoRR Yulong Tian, Fnu Suya, Anshuman Suri, Fengyuan Xu, David Evans
2023	A*	`conf`	SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning. SP Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella-Béguelin
2023	J	`jnl`	SoK: Memorization in General-Purpose Large Language Models. CoRR Valentin Hartmann, Anshuman Suri, Vincent Bindschaedler, David Evans, Shruti Tople, Robert West
2023	J	`jnl`	SoK: Pitfalls in Evaluating Black-Box Attacks. CoRR Fnu Suya, Anshuman Suri, Tingwei Zhang, Jingtao Hong, Yuan Tian, David Evans
2023	J	`jnl`	TrojanPuzzle: Covertly Poisoning Code-Suggestion Models. CoRR Hojjat Aghakhani, Wei Dai, Andre Manoel, Xavier Fernandes, Anant Kharkar, Christopher Kruegel, Giovanni Vigna, David Evans, Ben Zorn, Robert Sim
2023	J	`jnl`	Understanding Variation in Subpopulation Susceptibility to Poisoning Attacks. CoRR Evan Rose, Fnu Suya, David Evans
2023	A*	`conf`	What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners? NeurIPS Fnu Suya, Xiao Zhang, Yuan Tian, David Evans
2023	J	`jnl`	When Can Linear Learners be Robust to Indiscriminate Poisoning Attacks? CoRR Fnu Suya, Xiao Zhang, Yuan Tian, David Evans
2022	A*	`conf`	Are Attribute Inference Attacks Just Imputation? CCS Bargav Jayaraman, David Evans
2022	J	`jnl`	Are Attribute Inference Attacks Just Imputation? CoRR Bargav Jayaraman, David Evans
2022	J	`jnl`	Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models. CoRR Hannah Chen, Yangfeng Ji, David Evans
2022	—	`conf`	Comfortable Cohorts and Tractable Teams: Making Large Computing Theory Courses Feel Small. SIGCSE (1) Nathan Brunelle, David Evans
2022	J	`jnl`	Dissecting Distribution Inference. CoRR Anshuman Suri, Yifu Lu, Yanjin Chen, David Evans
2022	J	`jnl`	Dynamic System Diversification for Securing Cloud-based IoT Subnetworks. ACM Trans. Auton. Adapt. Syst. Hussain M. J. Almohri, Layne T. Watson, David Evans, Stephen C. Billups
2022	J	`jnl`	Formalizing and Estimating Distribution Inference Risks. Proc. Priv. Enhancing Technol. Anshuman Suri, David Evans
2022	J	`jnl`	Memorization in NLP Fine-tuning Methods. CoRR Fatemehsadat Mireshghallah, Archit Uniyal, Tianhao Wang, David Evans, Taylor Berg-Kirkpatrick
2022	J	`jnl`	SoK: Let The Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning. CoRR Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella-Béguelin
2022	J	`jnl`	Stealthy Backdoors as Compression Artifacts. IEEE Trans. Inf. Forensics Secur. Yulong Tian, Fnu Suya, Fengyuan Xu, David Evans
2021	J	`jnl`	Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. 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
2021	J	`jnl`	Formalizing Distribution Inference Risks. CoRR Anshuman Suri, David Evans
2021	J	`jnl`	Formalizing and Estimating Distribution Inference Risks. CoRR Anshuman Suri, David Evans
2021	J	`jnl`	Improved Estimation of Concentration Under $\ell_p$-Norm Distance Metrics Using Half Spaces. CoRR Jack Prescott, Xiao Zhang, David Evans
2021	J	`jnl`	Incorporating Label Uncertainty in Understanding Adversarial Robustness. CoRR Xiao Zhang, David Evans
2021	A*	`conf`	Model-Targeted Poisoning Attacks with Provable Convergence. ICML Fnu Suya, Saeed Mahloujifar, Anshuman Suri, David Evans, Yuan Tian
2021	J	`jnl`	Revisiting Membership Inference Under Realistic Assumptions. Proc. Priv. Enhancing Technol. Bargav Jayaraman, Lingxiao Wang, Katherine Knipmeyer, Quanquan Gu, David Evans
2021	J	`jnl`	Stealthy Backdoors as Compression Artifacts. CoRR Yulong Tian, Fnu Suya, Fengyuan Xu, David Evans
2021	—	`conf`	When Models Learn Too Much. CODASPY David Evans
2020	J	`jnl`	An Attack-Resilient Architecture for the Internet of Things. IEEE Trans. Inf. Forensics Secur. Hussain M. J. Almohri, Layne T. Watson, David Evans
2020	J	`jnl`	Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory. CoRR Hannah Chen, Yangfeng Ji, David Evans
2020	A*	`conf`	Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries. USENIX Security Symposium Fnu Suya, Jianfeng Chi, David Evans, Yuan Tian
2020	A*	`conf`	Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization. ICML Sicheng Zhu, Xiao Zhang, David Evans
2020	J	`jnl`	Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization. CoRR Sicheng Zhu, Xiao Zhang, David Evans
2020	J	`jnl`	Model-Targeted Poisoning Attacks: Provable Convergence and Certified Bounds. CoRR Fnu Suya, Saeed Mahloujifar, David Evans, Yuan Tian
2020	J	`jnl`	One Neuron to Fool Them All. CoRR Anshuman Suri, David Evans
2020	—	`conf`	Pointwise Paraphrase Appraisal is Potentially Problematic. ACL (student) Hannah Chen, Yangfeng Ji, David Evans
2020	J	`jnl`	Pointwise Paraphrase Appraisal is Potentially Problematic. CoRR Hannah Chen, Yangfeng Ji, David Evans
2020	J	`jnl`	Predictability of IP Address Allocations for Cloud Computing Platforms. IEEE Trans. Inf. Forensics Secur. Hussain M. J. Almohri, Layne T. Watson, David Evans
2020	J	`jnl`	Revisiting Membership Inference Under Realistic Assumptions. CoRR Bargav Jayaraman, Lingxiao Wang, David Evans, Quanquan Gu
2020	A	`conf`	Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models. AISTATS Xiao Zhang, Jinghui Chen, Quanquan Gu, David Evans
2020	J	`jnl`	Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models. CoRR Xiao Zhang, Jinghui Chen, Quanquan Gu, David Evans
2019	J	`jnl`	Advances and Open Problems in Federated Learning. CoRR 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
2019	—	`conf`	Context-aware Monitoring in Robotic Surgery. ISMR Mohammad Samin Yasar, David Evans, Homa Alemzadeh
2019	J	`jnl`	Context-aware Monitoring in Robotic Surgery. CoRR Mohammad Samin Yasar, David Evans, Homa Alemzadeh
2019	—	`conf`	Cost-Sensitive Robustness against Adversarial Examples. ICLR (Poster) Xiao Zhang, David Evans
2019	J	`jnl`	Efficient Privacy-Preserving Nonconvex Optimization. CoRR Lingxiao Wang, Bargav Jayaraman, David Evans, Quanquan Gu
2019	A*	`conf`	Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness. NeurIPS Saeed Mahloujifar, Xiao Zhang, Mohammad Mahmoody, David Evans
2019	J	`jnl`	Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness. CoRR Saeed Mahloujifar, Xiao Zhang, Mohammad Mahmoody, David Evans
2019	A*	`conf`	Evaluating Differentially Private Machine Learning in Practice. USENIX Security Symposium Bargav Jayaraman, David Evans
2019	J	`jnl`	Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries. CoRR Fnu Suya, Jianfeng Chi, David Evans, Yuan Tian
2019	J	`jnl`	When Relaxations Go Bad: "Differentially-Private" Machine Learning. CoRR Bargav Jayaraman, David Evans
2018	J	`jnl`	A Pragmatic Introduction to Secure Multi-Party Computation. Found. Trends Priv. Secur. David Evans, Vladimir Kolesnikov, Mike Rosulek
2018	J	`jnl`	Cost-Sensitive Robustness against Adversarial Examples. CoRR Xiao Zhang, David Evans
2018	A*	`conf`	Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization. NeurIPS Bargav Jayaraman, Lingxiao Wang, David Evans, Quanquan Gu
2018	J	`jnl`	Efficient Dynamic Searchable Encryption with Forward Privacy. Proc. Priv. Enhancing Technol. Mohammad Etemad, Alptekin Küpçü, Charalampos Papamanthou, David Evans
2018	A*	`conf`	Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks. NDSS Weilin Xu, David Evans, Yanjun Qi
2018	—	`conf`	Fidelius Charm: Isolating Unsafe Rust Code. CODASPY Hussain M. J. Almohri, David Evans
2018	J	`jnl`	Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning. CoRR Hyrum S. Anderson, Anant Kharkar, Bobby Filar, David Evans, Phil Roth
2018	J	`jnl`	Misery Digraphs: Delaying Intrusion Attacks in Obscure Clouds. IEEE Trans. Inf. Forensics Secur. Hussain M. J. Almohri, Layne T. Watson, David Evans
2018	J	`jnl`	Optimizing Trees for Static Searchable Encryption. IACR Cryptol. ePrint Arch. Mohammad Etemad, Mohammad Mahmoody, David Evans
2017	J	`jnl`	Decentralized Certificate Authorities. CoRR Bargav Jayaraman, Hannah Li, David Evans
2017	J	`jnl`	Efficient Dynamic Searchable Encryption with Forward Privacy. CoRR Mohammad Etemad, Alptekin Küpçü, Charalampos Papamanthou, David Evans
2017	J	`jnl`	Feature Squeezing Mitigates and Detects Carlini/Wagner Adversarial Examples. CoRR Weilin Xu, David Evans, Yanjun Qi
2017	J	`jnl`	Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks. CoRR Weilin Xu, David Evans, Yanjun Qi
2017	J	`jnl`	Horcrux: A Password Manager for Paranoids. CoRR Hannah Li, David Evans
2017	J	`jnl`	Privacy-Preserving Distributed Linear Regression on High-Dimensional Data. Proc. Priv. Enhancing Technol. Adrià Gascón, Phillipp Schoppmann, Borja Balle, Mariana Raykova, Jack Doerner, Samee Zahur, David Evans
2017	A*	`ed.`	Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, CCS 2017, Dallas, TX, USA, October 30 - November 03, 2017 CCS Bhavani Thuraisingham, David Evans, Tal Malkin, Dongyan Xu
2017	J	`jnl`	Query-limited Black-box Attacks to Classifiers. CoRR Fnu Suya, Yuan Tian, David Evans, Paolo Papotti
2016	A*	`conf`	Automatically Evading Classifiers: A Case Study on PDF Malware Classifiers. NDSS Weilin Xu, Yanjun Qi, David Evans
2016	A*	`conf`	Revisiting Square-Root ORAM: Efficient Random Access in Multi-party Computation. IEEE Symposium on Security and Privacy Samee Zahur, Xiao Wang, Mariana Raykova, Adrià Gascón, Jack Doerner, David Evans, Jonathan Katz
2016	J	`jnl`	Secure Linear Regression on Vertically Partitioned Datasets. IACR Cryptol. ePrint Arch. Adrià Gascón, Phillipp Schoppmann, Borja Balle, Mariana Raykova, Jack Doerner, Samee Zahur, David Evans
2016	A*	`conf`	Secure Stable Matching at Scale. CCS Jack Doerner, David Evans, Abhi Shelat
2016	J	`jnl`	Secure Stable Matching at Scale. IACR Cryptol. ePrint Arch. Jack Doerner, David Evans, Abhi Shelat
2015	J	`jnl`	Obliv-C: A Language for Extensible Data-Oblivious Computation. IACR Cryptol. ePrint Arch. Samee Zahur, David Evans
2015	—	`conf`	Two Halves Make a Whole - Reducing Data Transfer in Garbled Circuits Using Half Gates. EUROCRYPT (2) Samee Zahur, Mike Rosulek, David Evans
2015	A*	`conf`	Understanding and Monitoring Embedded Web Scripts. IEEE Symposium on Security and Privacy Yuchen Zhou, David Evans
2014	A*	`conf`	SSOScan: Automated Testing of Web Applications for Single Sign-On Vulnerabilities. USENIX Security Symposium Yuchen Zhou, David Evans
2014	J	`jnl`	Two Halves Make a Whole: Reducing Data Transfer in Garbled Circuits using Half Gates. IACR Cryptol. ePrint Arch. Samee Zahur, Mike Rosulek, David Evans
2013	A*	`conf`	Circuit Structures for Improving Efficiency of Security and Privacy Tools. IEEE Symposium on Security and Privacy Samee Zahur, David Evans
2013	—	`conf`	Efficient Secure Two-Party Computation Using Symmetric Cut-and-Choose. CRYPTO (2) Yan Huang, Jonathan Katz, David Evans
2013	J	`jnl`	Efficient Secure Two-Party Computation Using Symmetric Cut-and-Choose. IACR Cryptol. ePrint Arch. Yan Huang, Jonathan Katz, David Evans
2013	A*	`conf`	Explicating SDKs: Uncovering Assumptions Underlying Secure Authentication and Authorization. USENIX Security Symposium Rui Wang, Yuchen Zhou, Shuo Chen, Shaz Qadeer, David Evans, Yuri Gurevich
2012	A*	`conf`	Private Set Intersection: Are Garbled Circuits Better than Custom Protocols? NDSS Yan Huang, David Evans, Jonathan Katz
2012	A*	`conf`	Quid-Pro-Quo-tocols: Strengthening Semi-honest Protocols with Dual Execution. IEEE Symposium on Security and Privacy Yan Huang, Jonathan Katz, David Evans
2011	—	`conf`	Auditing Information Leakage for Distance Metrics. SocialCom/PASSAT Yikan Chen, David Evans
2011	A*	`conf`	Automated black-box detection of side-channel vulnerabilities in web applications. CCS Peter Chapman, David Evans
2011	—	`ch.`	Effectiveness of Moving Target Defenses. Moving Target Defense David Evans, Anh Nguyen-Tuong, John C. Knight
2011	A*	`conf`	Efficient Privacy-Preserving Biometric Identification. NDSS Yan Huang, Lior Malka, David Evans, Jonathan Katz
2011	Misc	`conf`	Efficient Secure Computation with Garbled Circuits. ICISS Yan Huang, Chih-Hao Shen, David Evans, Jonathan Katz, Abhi Shelat
2011	A*	`conf`	Faster Secure Two-Party Computation Using Garbled Circuits. USENIX Security Symposium Yan Huang, David Evans, Jonathan Katz, Lior Malka
2011	—	`conf`	GuardRails: A Data-Centric Web Application Security Framework. WebApps Jonathan Burket, Patrick Mutchler, Michael Weaver, Muzzammil Zaveri, David Evans
2011	J	`jnl`	Guest Editors' Introduction: The Science of Security. IEEE Secur. Priv. David Evans, Salvatore J. Stolfo
2011	J	`jnl`	Measuring Security. IEEE Secur. Priv. Salvatore J. Stolfo, Steven M. Bellovin, David Evans
2011	—	`conf`	Privacy-Preserving Applications on Smartphones. HotSec Yan Huang, Peter Chapman, David Evans
2011	—	`conf`	Private Editing Using Untrusted Cloud Services. ICDCS Workshops Yan Huang, David Evans
2011	A	`conf`	Protecting Private Web Content from Embedded Scripts. ESORICS Yuchen Zhou, David Evans
2009	A	`conf`	Privacy through Noise: A Design Space for Private Identification. ACSAC Karsten Nohl, David Evans
2008	Misc	`conf`	Hiding in Groups: On the Expressiveness of Privacy Distributions. SEC Karsten Nohl, David Evans
2008	A*	`conf`	Reverse-Engineering a Cryptographic RFID Tag. USENIX Security Symposium Karsten Nohl, David Evans, Starbug, Henryk Plötz
2008	A	`conf`	Security through redundant data diversity. DSN Anh Nguyen-Tuong, David Evans, John C. Knight, Benjamin Cox, Jack W. Davidson
2008	—	`conf`	Talking to strangers without taking their candy: isolating proxied content. SNS Adrienne Felt, Pieter Hooimeijer, David Evans, Westley Weimer
2008	C	`conf`	The user is not the enemy: fighting malware by tracking user intentions. NSPW Jeff Shirley, David Evans
2006	J	`jnl`	Comparing Java and .NET security: Lessons learned and missed. Comput. Secur. Nathanael Paul, David Evans
2006	A*	`conf`	Inculcating invariants in introductory courses. ICSE David Evans, Michael Peck
2006	A*	`conf`	N-Variant Systems: A Secretless Framework for Security through Diversity. USENIX Security Symposium Benjamin Cox, David Evans
2006	A*	`conf`	Perracotta: mining temporal API rules from imperfect traces. ICSE Jinlin Yang, David Evans, Deepali Bhardwaj, Thirumalesh Bhat, Manuvir Das
2006	C	`conf`	Quantifying Information Leakage in Tree-Based Hash Protocols (Short Paper). ICICS Karsten Nohl, David Evans
2006	B	`conf`	Secure and practical defense against code-injection attacks using software dynamic translation. VEE Wei Hu, Jason Hiser, Daniel W. Williams, Adrian Filipi, Jack W. Davidson, David Evans, John C. Knight, Anh Nguyen-Tuong, Jonathan C. Rowanhill
2005	Misc	`conf`	Automatically Hardening Web Applications Using Precise Tainting. SEC Anh Nguyen-Tuong, Salvatore Guarnieri, Doug Greene, Jeff Shirley, David Evans
2005	—	`conf`	Toasters, Seat Belts, and Inferring Program Properties. VSTTE David Evans
2005	A*	`conf`	Where's the FEEB? The Effectiveness of Instruction Set Randomization. USENIX Security Symposium Ana Nora Sovarel, David Evans, Nathanael Paul
2004	A	`conf`	.NET Security: Lessons Learned and Missed from Java. ACSAC Nathanael Paul, David Evans
2004	A	`conf`	Automatically Inferring Temporal Properties for Program Evolution . ISSRE Jinlin Yang, David Evans
2004	—	`conf`	Dynamically inferring temporal properties. PASTE Jinlin Yang, David Evans
2004	J	`jnl`	Election Security: Perception and Reality. IEEE Secur. Priv. David Evans, Nathanael Paul
2004	A	`conf`	EnviroTrack: Towards an Environmental Computing Paradigm for Distributed Sensor Networks. ICDCS Tarek F. Abdelzaher, Brian M. Blum, Qing Cao, Yong Chen, David Evans, Jemin George, Selvin George, Lin Gu, Tian He, Sudha Krishnamurthy, Liqian Luo, Sang Hyuk Son, Jack A. Stankovic, Radu Stoleru, Anthony D. Wood
2004	J	`jnl`	ICSE 2004 workshop summary second international workshop on dynamic analysis (WODA 2004). ACM SIGSOFT Softw. Eng. Notes David Evans, Raimondas Lencevicius
2004	A*	`conf`	Localization for mobile sensor networks. MobiCom Lingxuan Hu, David Evans
2004	J	`jnl`	Pancakes, puzzles, and polynomials: cracking the Cracker Barrel. SIGACT News Christopher Frost, Michael Peck, David Evans
2004	A*	`conf`	Second International Workshop on Dynamic Analysis (WODA 2004). ICSE David Evans, Raimondas Lencevicius
2004	A*	`conf`	Using Directional Antennas to Prevent Wormhole Attacks. NDSS Lingxuan Hu, David Evans
2004	A*	`conf`	What Biology Can (and Can't) Teach Us About Security. USENIX Security Symposium David Evans
2003	—	`conf`	A biological programming model for self-healing. SSRS@CCS Selvin George, David Evans, Steven Marchette
2003	—	`conf`	Secure Aggregation for Wireless Network. SAINT Workshops Lingxuan Hu, David Evans
2002	—	`conf`	A biologically inspired programming model for self-healing systems. WOSS Selvin George, David Evans, Lance Davidson
2002	J	`jnl`	Improving Security Using Extensible Lightweight Static Analysis. IEEE Softw. David Evans, David Larochelle
2001	C	`conf`	Behavior Combination and Swarm Programming. RoboCup Keen Browne, Jon McCune, Adam Trost, David Evans, David C. Brogan
2001	A*	`conf`	Statically Detecting Likely Buffer Overflow Vulnerabilities. USENIX Security Symposium David Larochelle, David Evans
2000	—	`conf`	Dynamic term selection in learning a query from examples. RIAO Emilia Stoica, David Evans
1996	J	`jnl`	Computer assisted programming for systolic systems. Bull. dInformatique Approfondie et Appl. David Evans, Salim Ghanemi