Adversarial attacks on neural networks through canonical Riemannian foliations
Authors: Eliot Tron, Nicolas Couellan, Stéphane Puechmorel | Published: 2022-03-02 | Updated: 2024-09-18
Selection and Evaluation of Optimization Algorithms
Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks
Authors: Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis | Published: 2022-03-01
PopSkipJump: Decision-Based Attack for Probabilistic Classifiers
Authors: Carl-Johann Simon-Gabriel, Noman Ahmed Sheikh, Andreas Krause | Published: 2021-06-14
Stochastic Alternating Direction Method of Multipliers for Byzantine-Robust Distributed Learning
Authors: Feng Lin, Weiyu Li, Qing Ling | Published: 2021-06-13
BODAME: Bilevel Optimization for Defense Against Model Extraction
Authors: Yuto Mori, Atsushi Nitanda, Akiko Takeda | Published: 2021-03-11
Adversarial Examples for $k$-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams
Authors: Chawin Sitawarin, Evgenios M. Kornaropoulos, Dawn Song, David Wagner | Published: 2020-11-19 | Updated: 2021-11-01
The Cost of Privacy in Generalized Linear Models: Algorithms and Minimax Lower Bounds
Authors: T. Tony Cai, Yichen Wang, Linjun Zhang | Published: 2020-11-08 | Updated: 2020-12-06
Improving Query Efficiency of Black-box Adversarial Attack
Authors: Yang Bai, Yuyuan Zeng, Yong Jiang, Yisen Wang, Shu-Tao Xia, Weiwei Guo | Published: 2020-09-24 | Updated: 2020-09-25
Detection of Iterative Adversarial Attacks via Counter Attack
Authors: Matthias Rottmann, Kira Maag, Mathis Peyron, Natasa Krejic, Hanno Gottschalk | Published: 2020-09-23 | Updated: 2021-03-23
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup
Authors: Jang-Hyun Kim, Wonho Choo, Hyun Oh Song | Published: 2020-09-15 | Updated: 2020-12-30