Understanding Intrinsic Robustness Using Label Uncertainty
Authors: Xiao Zhang, David Evans | Published: 2021-07-07 | Updated: 2022-03-17
Label Uncertainty
Antipodes of Label Differential Privacy: PATE and ALIBI
Authors: Mani Malek, Ilya Mironov, Karthik Prasad, Igor Shilov, Florian Tramèr | Published: 2021-06-07 | Updated: 2021-10-29
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart
Authors: Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu | Published: 2021-05-31 | Updated: 2022-03-31
Rethinking Noisy Label Models: Labeler-Dependent Noise with Adversarial Awareness
Authors: Glenn Dawson, Robi Polikar | Published: 2021-05-28 | Updated: 2021-06-05
Sufficient Conditions for Idealised Models to Have No Adversarial Examples: a Theoretical and Empirical Study with Bayesian Neural Networks
Authors: Yarin Gal, Lewis Smith | Published: 2018-06-02 | Updated: 2018-06-28