1.9k citations · 2k across the 8 of their papers we have counts for
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cs.CR2022★ 10 cited
Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models
Xinlei He, Zheng Li, Weilin Xu +2
Machine learning models are prone to memorizing sensitive data, making them vulnerable to membership inference attacks in which an adversary aims to infer whether an input sample w…
cs.CR2017★ 2 cited
Security Risks in Deep Learning Implementations
Qixue Xiao, Kang Li, Deyue Zhang +1
Advance in deep learning algorithms overshadows their security risk in software implementations. This paper discloses a set of vulnerabilities in popular deep learning frameworks i…
cs.CR2017★ 41 cited
Feature Squeezing Mitigates and Detects Carlini/Wagner Adversarial Examples
Weilin Xu, David Evans, Yanjun Qi
Feature squeezing is a recently-introduced framework for mitigating and detecting adversarial examples. In previous work, we showed that it is effective against several earlier met…