RAB: Provable Robustness Against Backdoor Attacks
Authors: Maurice Weber, Xiaojun Xu, Bojan Karlaš, Ce Zhang, Bo Li | Published: 2020-03-19 | Updated: 2023-08-03
ロバスト性
Certified Defenses for Adversarial Patches
Authors: Ping-Yeh Chiang, Renkun Ni, Ahmed Abdelkader, Chen Zhu, Christoph Studer, Tom Goldstein | Published: 2020-03-14 | Updated: 2020-09-25
Manifold Regularization for Locally Stable Deep Neural Networks
Authors: Charles Jin, Martin Rinard | Published: 2020-03-09 | Updated: 2020-09-22
Adversarial VC-dimension and Sample Complexity of Neural Networks
Authors: Zetong Qi, T. J. Wilder | Published: 2019-12-18
MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking
Authors: Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Timo Bremer | Published: 2019-12-16 | Updated: 2020-04-30
Constructing a provably adversarially-robust classifier from a high accuracy one
Authors: Grzegorz Głuch, Rüdiger Urbanke | Published: 2019-12-16
DAmageNet: A Universal Adversarial Dataset
Authors: Sizhe Chen, Xiaolin Huang, Zhengbao He, Chengjin Sun | Published: 2019-12-16
Potential adversarial samples for white-box attacks
Authors: Amir Nazemi, Paul Fieguth | Published: 2019-12-13
Training Provably Robust Models by Polyhedral Envelope Regularization
Authors: Chen Liu, Mathieu Salzmann, Sabine Süsstrunk | Published: 2019-12-10 | Updated: 2021-09-20
Hardening Random Forest Cyber Detectors Against Adversarial Attacks
Authors: Giovanni Apruzzese, Mauro Andreolini, Michele Colajanni, Mirco Marchetti | Published: 2019-12-09