Information Stealing in Federated Learning Systems Based on Generative Adversarial Networks

2 August 2021

Papers citing "Information Stealing in Federated Learning Systems Based on Generative Adversarial Networks"

5 / 5 papers shown

Title
NoPeek: Information leakage reduction to share activations in distributed deep learning Praneeth Vepakomma Abhishek Singh O. Gupta Ramesh Raskar MIACV FedML 88 86 0 20 Aug 2020
NAttack! Adversarial Attacks to bypass a GAN based classifier trained to detect Network intrusion Aritran Piplai Sai Sree Laya Chukkapalli A. Joshi GAN AAML 32 38 0 20 Feb 2020
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review Han Xu Yao Ma Haochen Liu Debayan Deb Hui Liu Jiliang Tang Anil K. Jain AAML 67 675 0 17 Sep 2019
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 283 8,883 0 25 Aug 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning Briland Hitaj G. Ateniese Fernando Perez-Cruz FedML 117 1,404 0 24 Feb 2017