J. D. Tygar

University of California, Berkeley — United States

Computer Science · Physical Sciences

53h-index18.9kcitations159works0.02yr avg
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Research Topics

Advanced Malware Detection Techniques(37), Network Security and Intrusion Detection(35), Cryptography and Data Security(29), Adversarial Robustness in Machine Learning(26), Spam and Phishing Detection(22)

Publications159 total

Appendix C: Analysis of SpamBayes
2019
Adversarial Machine Learning
Cambridge University Press eBooks·2019· 66 cited
Appendix A: Background for Learning and Hyper-Geometry
2019
Near-Optimal Evasion of Classifiers
Cambridge University Press eBooks·2019
Introduction
Cambridge University Press eBooks·2019
Privacy-Preserving Mechanisms for SVM Learning
Cambridge University Press eBooks·2019
Adversarial Machine Learning Challenges
Cambridge University Press eBooks·2019
Index
Cambridge University Press eBooks·2019
Attacking a Hypersphere Learner
Cambridge University Press eBooks·2019
A Framework for Secure Learning
Cambridge University Press eBooks·2019
Appendix D: Full Proofs for Near-Optimal Evasion
2019
Glossary
2019
Background and Notation
Cambridge University Press eBooks·2019· 1 cited
Integrity Attack Case Study: PCA Detector
Cambridge University Press eBooks·2019
Availability Attack Case Study: SpamBayes
Cambridge University Press eBooks·2019
Appendix B: Full Proofs for Hypersphere Attacks
2019
Exploratory Attacks on Machine Learning
2019
Overview of Adversarial Machine Learning
2019
Evasion and hardening of tree ensemble classifiers
International Conference on Machine Learning·2016· 66 cited
Reviewer Integration and Performance Measurement for Malware Detection
Lecture notes in computer science·2016· 75 cited
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Frequent Co-authors

Anthony D. Joseph(17), Adrian Perrig(9), Ling Huang(9), Benjamin I. P. Rubinstein(7), Blaine Nelson(6), Alex Kantchelian(6), Brad Miller(5), Dawn Song(4), Marco Barreno(4), Michael Carl Tschantz(4), Rachna Dhamija(3), Blaine Nelson(3), Ran Canetti(3), Satish Rao(3), Bennet Yee(3), Rekha Bachwani(3), Sadia Afroz(3), Robert Szewczyk(2), Victor Wen(2), David Culler(2)