Asymptotic Behavior of Adversarial Training Estimator under $\ell_\infty$-Perturbation
Authors: Yiling Xie, Xiaoming Huo | Published: 2024-01-27
Adaptive Adversarial Training
Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective
Authors: Yifei Wang, Liangchen Li, Jiansheng Yang, Zhouchen Lin, Yisen Wang | Published: 2023-10-30
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models
Authors: Zonghan Yang, Tianyu Pang, Yang Liu | Published: 2023-06-02
A Generative Framework for Low-Cost Result Validation of Machine Learning-as-a-Service Inference
Authors: Abhinav Kumar, Miguel A. Guirao Aguilera, Reza Tourani, Satyajayant Misra | Published: 2023-03-31 | Updated: 2024-04-25
Characterizing Internal Evasion Attacks in Federated Learning
Authors: Taejin Kim, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong | Published: 2022-09-17 | Updated: 2023-10-21
Federated Adversarial Learning: A Framework with Convergence Analysis
Authors: Xiaoxiao Li, Zhao Song, Jiaming Yang | Published: 2022-08-07
One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training
Authors: Sekitoshi Kanai, Shin'ya Yamaguchi, Masanori Yamada, Hiroshi Takahashi, Kentaro Ohno, Yasutoshi Ida | Published: 2022-07-21 | Updated: 2023-04-26
Btech thesis report on adversarial attack detection and purification of adverserially attacked images
Authors: Dvij Kalaria | Published: 2022-05-09
Transferring Adversarial Robustness Through Robust Representation Matching
Authors: Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati | Published: 2022-02-21 | Updated: 2022-05-05
An Adaptive Honeypot Configuration, Deployment and Maintenance Strategy
Authors: Daniel Fraunholz, Marc Zimmermann, Hans D. Schotten | Published: 2021-11-06