David Evans

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Jonathan KatzProfessor of Computer Science, University of MarylandVerified email at cs.umd.edu
Samee ZahurSoftware engineer, Google LLCVerified email at google.com
Bargav JayaramanPostdoctoral Researcher at MetaVerified email at meta.com
Weilin XuResearch Scientist at Intel LabsVerified email at intel.com
Anshuman SuriPostdoctoral scholar, Northeastern UniversityVerified email at virginia.edu
Adrienne Porter FeltGoogle (Chrome security)Verified email at google.com
Jack DoernerNortheastern UniversityVerified email at ccs.neu.edu
Fnu SuyaUniversity of Tennessee, KnoxvilleVerified email at virginia.edu
David LarochelleAnnenberg School of Communication at the University of PennsylvaniaVerified email at asc.upenn.edu
Quanquan GuAssociate Professor of Computer Science, UCLAVerified email at cs.ucla.edu
Yuchen ZhouMeta, Palo Alto Networks, University of VirginiaVerified email at meta.com
Yuan TianAssociate Professor, University of California, Los AngelesVerified email at ucla.edu
Xiao ZhangCISPA Helmholtz Center for Information SecurityVerified email at cispa.de
Mariana RaykovaGoogleVerified email at cs.columbia.edu
Adrià GascónGoogle ResearchVerified email at google.com
Lingxiao WangToyota Technological Institute at ChicagoVerified email at ttic.edu
Mike RosulekAssociate Professor, Oregon State UniversityVerified email at eecs.oregonstate.edu
Yanjun QiFaculty @UVa CS / PhD @CMU / DATA Scholar@ NIH/ Principal Applied Scientist @ AWSVerified email at virginia.edu
Sudhanva GurumurthiFellow, AMDVerified email at amd.com
Borja BalleDeepMindVerified email at google.com

David Evans

University of Virginia, Computer Science

Verified email at virginia.edu - Homepage

Adversarial Machine Learning Privacy-Preserving Machine Learning Computer Security Secure Computation Flipping Frenemies


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Advances and Open Problems in Federated Learning P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... arXiv preprint arXiv:1912.04977, 2019	6289	2019
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks W Xu, D Evans, Y Qi Network and Distributed Security Symposium (NDSS) 2018, 2018	2087	2018
Localization for Mobile Sensor Networks L Hu, D Evans 10th Conference on Mobile Computing and Networking (MobiCom), 2004	1548	2004
Faster Secure Two-Party Computation Using Garbled Circuits Y Huang, D Evans, J Katz, L Malka 20th USENIX Security Symposium, 2011	828	2011
Using Directional Antennas to Prevent Wormhole Attacks L Hu, D Evans Network and Distributed System Security Symposium (NDSS) 2004, 2004	797	2004
Improving Security using Extensible Lightweight Static Analysis D Evans, D Larochelle IEEE Software 19 (1), 42-51, 2002	765	2002
Secure Aggregation for Wireless Networks L Hu, D Evans Workshop on Security and Assurance in Ad hoc Networks, 2003	657	2003
Statically Detecting Likely Buffer Overflow Vulnerabilities D Larochelle, D Evans 10th USENIX Security Symposium, 2001	604	2001
Evaluating Differentially Private Machine Learning in Practice B Jayaraman, D Evans USENIX Security Symposium 2019, 2019	579	2019
Two Halves Make a Whole: Reducing Data Transfer in Garbled Circuits using Half Gates S Zahur, M Rosulek, D Evans Advances in Cryptology-EUROCRYPT 2015, 2015	573	2015
Automatically Hardening Web Applications using Precise Tainting A Nguyen-Tuong, S Guarnieri, D Greene, J Shirley, D Evans IFIP TC11 20th International Conference on Information Security, 2005	556	2005
Perracotta: Mining Temporal API Rules from Imperfect Traces J Yang, D Evans, D Bhardwaj, T Bhat, M Das 28th International Conference on Software Engineering (ICSE), 2006	544	2006
Automatically Evading Classifiers W Xu, Y Qi, D Evans Network and Distributed Systems Symposium (NDSS), 2016	521	2016
Private Set Intersection: Are Garbled Circuits Better than Custom Protocols? Y Huang, D Evans, J Katz Network and Distributed Security Symposium (NDSS 2012), 2012	501	2012
N-Variant Systems: A Secretless Framework for Security through Diversity B Cox, D Evans, A Filipi, J Rowanhill, W Hu, J Davidson, J Knight, ... 15th USENIX Security Symposium, 2006	472	2006
A Pragmatic Introduction to Secure Multi-Party Computation D Evans, V Kolesnikov, M Rosulek NOW Publishers, 2018	469	2018
Reverse-Engineering a Cryptographic RFID Tag K Nohl, D Evans, Starbug, H Plötz 17th USENIX Security Symposium, 2008	391	2008
EnviroTrack: Towards an Environmental Computing Paradigm for Distributed Sensor Networks T Abdelzaher, B Blum, Q Cao, Y Chen, D Evans, J George, S George, ... 24th International Conference on Distributed Computing Systems (ICDCS), 2004	385	2004
LCLint: A Tool for Using Specifications to Check Code D Evans, J Guttag, J Horning, YM Tan ACM SIGSOFT Symposium on the Foundations of Software Engineering 19 (5), 1994	385	1994
Privacy-Preserving Distributed Linear Regression on High-Dimensional Data A Gascón, P Schoppmann, B Balle, M Raykova, J Doerner, S Zahur, ... Proceedings on Privacy Enhancing Technologies 2017 (4), 2017	366*	2017

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