Certified Federated Adversarial Training

20 December 2021

Papers citing "Certified Federated Adversarial Training"

7 / 7 papers shown

Title
Verifiability and Privacy in Federated Learning through Context-Hiding Multi-Key Homomorphic Authenticators Simone Bottoni Giulio Zizzo S. Braghin Alberto Trombetta AAML FedML 1 0 0 05 Sep 2025
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 124 5 0 19 Oct 2024
Adversarial Robustness Unhardening via Backdoor Attacks in Federated Learning Taejin Kim Jiarui Li Shubhranshu Singh Nikhil Madaan Carlee Joe-Wong FedML 102 2 0 17 Oct 2023
Untargeted White-box Adversarial Attack with Heuristic Defence Methods in Real-time Deep Learning based Network Intrusion Detection System Khushnaseeb Roshan Aasim Zafar Sheikh Burhan Ul Haque AAML 183 50 0 05 Oct 2023
Improving Machine Learning Robustness via Adversarial Training Long Dang T. Hapuarachchi Kaiqi Xiong Jing Lin OOD AAML 90 2 0 22 Sep 2023
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning Jianing Zhu Jiangchao Yao Tongliang Liu Quanming Yao Jianliang Xu Bo Han FedML 89 6 0 01 Mar 2023
Characterizing Internal Evasion Attacks in Federated Learning Taejin Kim Shubhranshu Singh Nikhil Madaan Carlee Joe-Wong FedML 117 10 0 17 Sep 2022