On the Robustness of Epoch-Greedy in Multi-Agent Contextual Bandit Mechanisms
Authors: Yinglun Xu, Bhuvesh Kumar, Jacob Abernethy | Published: 2023-07-15
ロバスト性評価
Unifying Gradients to Improve Real-world Robustness for Deep Networks
Authors: Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang | Published: 2022-08-12 | Updated: 2023-08-24
Robust Machine Learning for Malware Detection over Time
Authors: Daniele Angioni, Luca Demetrio, Maura Pintor, Battista Biggio | Published: 2022-08-09
Federated Adversarial Learning: A Framework with Convergence Analysis
Authors: Xiaoxiao Li, Zhao Song, Jiaming Yang | Published: 2022-08-07
Lethal Dose Conjecture on Data Poisoning
Authors: Wenxiao Wang, Alexander Levine, Soheil Feizi | Published: 2022-08-05 | Updated: 2022-10-18
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
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