A GAN-based data poisoning framework against anomaly detection in
vertical federated learning

A GAN-based data poisoning framework against anomaly detection in vertical federated learning

17 January 2024

Daoguang Zan

Papers citing "A GAN-based data poisoning framework against anomaly detection in vertical federated learning"

7 / 7 papers shown

Title
Batch Label Inference and Replacement Attacks in Black-Boxed Vertical Federated Learning Yang Liu Tianyuan Zou Yan Kang Wenhan Liu Yuanqin He Zhi-qian Yi Qian Yang FedML AAML 82 19 0 10 Dec 2021
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 153 3,539 0 21 Jan 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 208 6,229 0 10 Dec 2019
Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges Solmaz Niknam Harpreet S. Dhillon J. H. Reed 58 601 0 30 Jul 2019
Delving into Transferable Adversarial Examples and Black-box Attacks Yanpei Liu Xinyun Chen Chang-rui Liu D. Song AAML 133 1,731 0 08 Nov 2016
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 291 4,636 0 18 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 380 17,437 0 17 Feb 2016