Robust Quantity-Aware Aggregation for Federated Learning
Authors: Jingwei Yi, Fangzhao Wu, Huishuai Zhang, Bin Zhu, Tao Qi, Guangzhong Sun, Xing Xie | Published: 2022-05-22 | Updated: 2023-07-26
ロバスト性評価
Robust Sensible Adversarial Learning of Deep Neural Networks for Image Classification
Authors: Jungeum Kim, Xiao Wang | Published: 2022-05-20
Getting a-Round Guarantees: Floating-Point Attacks on Certified Robustness
Authors: Jiankai Jin, Olga Ohrimenko, Benjamin I. P. Rubinstein | Published: 2022-05-20 | Updated: 2024-09-09
SafeNet: The Unreasonable Effectiveness of Ensembles in Private Collaborative Learning
Authors: Harsh Chaudhari, Matthew Jagielski, Alina Oprea | Published: 2022-05-20 | Updated: 2022-09-08
Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems
Authors: Gaurav Kumar Nayak, Ruchit Rawal, Rohit Lal, Himanshu Patil, Anirban Chakraborty | Published: 2022-05-05
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
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