RORL: Robust Offline Reinforcement Learning via Conservative Smoothing
Authors: Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han | Published: 2022-06-06 | Updated: 2022-10-22
Robustness
A Vision Inspired Neural Network for Unsupervised Anomaly Detection in Unordered Data
Authors: Nassir Mohammad | Published: 2022-05-13
Designing ML-Resilient Locking at Register-Transfer Level
Authors: Dominik Sisejkovic, Luca Collini, Benjamin Tan, Christian Pilato, Ramesh Karri, Rainer Leupers | Published: 2022-03-10 | Updated: 2022-04-06
Why adversarial training can hurt robust accuracy
Authors: Jacob Clarysse, Julia Hörrmann, Fanny Yang | Published: 2022-03-03
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