Confusing and Detecting ML Adversarial Attacks with Injected Attractors
Authors: Jiyi Zhang, Ee-Chien Chang, Hwee Kuan Lee | Published: 2020-03-05 | Updated: 2021-03-08
Denoised Smoothing: A Provable Defense for Pretrained Classifiers
Authors: Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter | Published: 2020-03-04 | Updated: 2020-09-21
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Authors: Francesco Croce, Matthias Hein | Published: 2020-03-03 | Updated: 2020-08-04
Hidden Cost of Randomized Smoothing
Authors: Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei, Weng, Sijia Liu, Pin-Yu Chen, Luca Daniel | Published: 2020-03-02 | Updated: 2021-03-12
Bayesian Neural Networks With Maximum Mean Discrepancy Regularization
Authors: Jary Pomponi, Simone Scardapane, Aurelio Uncini | Published: 2020-03-02 | Updated: 2020-09-30
Buffered Asynchronous SGD for Byzantine Learning
Authors: Yi-Rui Yang, Wu-Jun Li | Published: 2020-03-02 | Updated: 2022-01-31
Adversarial Attacks and Defenses on Graphs: A Review, A Tool and Empirical Studies
Authors: Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Shuiwang Ji, Charu Aggarwal, Jiliang Tang | Published: 2020-03-02 | Updated: 2020-12-12
Regularisation Can Mitigate Poisoning Attacks: A Novel Analysis Based on Multiobjective Bilevel Optimisation
Authors: Javier Carnerero-Cano, Luis Muñoz-González, Phillippa Spencer, Emil C. Lupu | Published: 2020-02-28 | Updated: 2020-06-20
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond
Authors: Kaidi Xu, Zhouxing Shi, Huan Zhang, Yihan Wang, Kai-Wei Chang, Minlie Huang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh | Published: 2020-02-28 | Updated: 2020-10-26
Certified Defense to Image Transformations via Randomized Smoothing
Authors: Marc Fischer, Maximilian Baader, Martin Vechev | Published: 2020-02-27 | Updated: 2021-08-25