Adaptative Perturbation Patterns: Realistic Adversarial Learning for Robust Intrusion Detection
Authors: João Vitorino, Nuno Oliveira, Isabel Praça | Published: 2022-03-08 | Updated: 2022-03-29
ロバスト性評価
Towards Efficient Data-Centric Robust Machine Learning with Noise-based Augmentation
Authors: Xiaogeng Liu, Haoyu Wang, Yechao Zhang, Fangzhou Wu, Shengshan Hu | Published: 2022-03-08
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
Authors: Maura Pintor, Daniele Angioni, Angelo Sotgiu, Luca Demetrio, Ambra Demontis, Battista Biggio, Fabio Roli | Published: 2022-03-07 | Updated: 2025-01-15
A Characterization of Semi-Supervised Adversarially-Robust PAC Learnability
Authors: Idan Attias, Steve Hanneke, Yishay Mansour | Published: 2022-02-11 | Updated: 2024-05-05
Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation
Authors: Wenxiao Wang, Alexander Levine, Soheil Feizi | Published: 2022-02-05 | Updated: 2022-07-14
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits
Authors: Ilija Bogunovic, Zihan Li, Andreas Krause, Jonathan Scarlett | Published: 2022-02-03 | Updated: 2022-03-28
A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs
Authors: Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Junchi Yan, Xiaokang Yang | Published: 2021-12-28 | Updated: 2022-06-04
PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy
Authors: Xiaolan Gu, Ming Li, Li Xiong | Published: 2021-10-22
Understanding Intrinsic Robustness Using Label Uncertainty
Authors: Xiao Zhang, David Evans | Published: 2021-07-07 | Updated: 2022-03-17
On the (Un-)Avoidability of Adversarial Examples
Authors: Sadia Chowdhury, Ruth Urner | Published: 2021-06-24