Federated Adversarial Training with Transformers

Federated Adversarial Training with Transformers

5 June 2022

Ahmed Aldahdooh

Olivier Déforges

Papers citing "Federated Adversarial Training with Transformers"

16 / 16 papers shown

Title
Federated Learning Meets Natural Language Processing: A Survey Ming Liu Stella Ho Mengqi Wang Longxiang Gao Yuan Jin Heng Zhang FedML 32 67 0 27 Jul 2021
Federated Learning on Non-IID Data: A Survey Hangyu Zhu Jinjin Xu Shiqing Liu Yaochu Jin OOD FedML 60 785 0 12 Jun 2021
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning Liangqiong Qu Yuyin Zhou Paul Pu Liang Yingda Xia Feifei Wang Ehsan Adeli L. Fei-Fei D. Rubin FedML AI4CE 30 178 0 10 Jun 2021
Adversarial Example Detection for DNN Models: A Review and Experimental Comparison Ahmed Aldahdooh W. Hamidouche Sid Ahmed Fezza Olivier Déforges AAML 111 122 0 01 May 2021
Adversarial Attacks are Reversible with Natural Supervision Chengzhi Mao Mia Chiquer Hao Wang Junfeng Yang Carl Vondrick BDL AAML 55 56 0 26 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 289 855 0 01 Mar 2021
Pre-Trained Image Processing Transformer Hanting Chen Yunhe Wang Tianyu Guo Chang Xu Yiping Deng Zhenhua Liu Siwei Ma Chunjing Xu Chao Xu Wen Gao VLM ViT 123 1,659 0 01 Dec 2020
Data Poisoning Attacks Against Federated Learning Systems Vale Tolpegin Stacey Truex Mehmet Emre Gursoy Ling Liu FedML 101 648 0 16 Jul 2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization Jianyu Wang Qinghua Liu Hao Liang Gauri Joshi H. Vincent Poor MoMe FedML 43 1,321 0 15 Jul 2020
Federated Learning with Compression: Unified Analysis and Sharp Guarantees Farzin Haddadpour Mohammad Mahdi Kamani Aryan Mokhtari M. Mahdavi FedML 61 275 0 02 Jul 2020
Federated Learning for 6G Communications: Challenges, Methods, and Future Directions Yi Liu Lizhen Qu Zehui Xiong Jiawen Kang Xiaofei Wang Dusit Niyato FedML AI4CE 40 280 0 04 Jun 2020
Agnostic Federated Learning M. Mohri Gary Sivek A. Suresh FedML 90 928 0 01 Feb 2019
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta VLM 110 2,386 0 10 Jul 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 450 3,124 0 04 Nov 2016
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives Aaron Defazio Francis R. Bach Simon Lacoste-Julien ODL 110 1,817 0 01 Jul 2014
Minimizing Finite Sums with the Stochastic Average Gradient Mark Schmidt Nicolas Le Roux Francis R. Bach 253 1,246 0 10 Sep 2013