Adversarially Robust Classification based on GLRT
Authors: Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani | Published: 2020-11-16
敵対的攻撃
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations
Authors: Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Hongbin Liu, Neil Zhenqiang Gong | Published: 2020-11-15 | Updated: 2022-06-03
Efficient and Transferable Adversarial Examples from Bayesian Neural Networks
Authors: Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen | Published: 2020-11-10 | Updated: 2022-06-18
Blockchain based Attack Detection on Machine Learning Algorithms for IoT based E-Health Applications
Authors: Thippa Reddy Gadekallu, Manoj M K, Sivarama Krishnan S, Neeraj Kumar, Saqib Hakak, Sweta Bhattacharya | Published: 2020-11-03 | Updated: 2021-10-02
Adversarial Examples in Constrained Domains
Authors: Ryan Sheatsley, Nicolas Papernot, Michael Weisman, Gunjan Verma, Patrick McDaniel | Published: 2020-11-02 | Updated: 2022-09-09
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Authors: Sven Gowal, Chongli Qin, Jonathan Uesato, Timothy Mann, Pushmeet Kohli | Published: 2020-10-07 | Updated: 2021-03-30
Not All Datasets Are Born Equal: On Heterogeneous Data and Adversarial Examples
Authors: Yael Mathov, Eden Levy, Ziv Katzir, Asaf Shabtai, Yuval Elovici | Published: 2020-10-07 | Updated: 2021-09-02
Constraining Logits by Bounded Function for Adversarial Robustness
Authors: Sekitoshi Kanai, Masanori Yamada, Shin'ya Yamaguchi, Hiroshi Takahashi, Yasutoshi Ida | Published: 2020-10-06
Downscaling Attack and Defense: Turning What You See Back Into What You Get
Authors: Andrew J. Lohn | Published: 2020-10-06 | Updated: 2020-10-07
Adversarial Boot Camp: label free certified robustness in one epoch
Authors: Ryan Campbell, Chris Finlay, Adam M Oberman | Published: 2020-10-05