Why adversarial training can hurt robust accuracy
Authors: Jacob Clarysse, Julia Hörrmann, Fanny Yang | Published: 2022-03-03
ロバスト性
Adversarial attacks on neural networks through canonical Riemannian foliations
Authors: Eliot Tron, Nicolas Couellan, Stéphane Puechmorel | Published: 2022-03-02 | Updated: 2024-09-18
Transferring Adversarial Robustness Through Robust Representation Matching
Authors: Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati | Published: 2022-02-21 | Updated: 2022-05-05
Robustness of Graph Neural Networks at Scale
Authors: Simon Geisler, Tobias Schmidt, Hakan Şirin, Daniel Zügner, Aleksandar Bojchevski, Stephan Günnemann | Published: 2021-10-26 | Updated: 2023-04-30
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining
Authors: Weizhe Hua, Yichi Zhang, Chuan Guo, Zhiru Zhang, G. Edward Suh | Published: 2021-09-29 | Updated: 2021-12-05
Distributionally Robust Multiclass Classification and Applications in Deep Image Classifiers
Authors: Ruidi Chen, Boran Hao, Ioannis Paschalidis | Published: 2021-09-27 | Updated: 2023-03-25
Adversarial Transfer Attacks With Unknown Data and Class Overlap
Authors: Luke E. Richards, André Nguyen, Ryan Capps, Steven Forsythe, Cynthia Matuszek, Edward Raff | Published: 2021-09-23 | Updated: 2021-09-24
Towards Resilient Artificial Intelligence: Survey and Research Issues
Authors: Oliver Eigner, Sebastian Eresheim, Peter Kieseberg, Lukas Daniel Klausner, Martin Pirker, Torsten Priebe, Simon Tjoa, Fiammetta Marulli, Francesco Mercaldo | Published: 2021-09-18
Advances in adversarial attacks and defenses in computer vision: A survey
Authors: Naveed Akhtar, Ajmal Mian, Navid Kardan, Mubarak Shah | Published: 2021-08-01 | Updated: 2021-09-02
A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee
Authors: Chunjiang Che, Xiaoli Li, Chuan Chen, Xiaoyu He, Zibin Zheng | Published: 2021-08-01 | Updated: 2022-09-08