Turning Federated Learning Systems Into Covert Channels

Turning Federated Learning Systems Into Covert Channels

21 April 2021

Gabriele Tolomei

Papers citing "Turning Federated Learning Systems Into Covert Channels"

7 / 7 papers shown

Title
CONNECTION: COvert chaNnel NEtwork attaCk Through bIt-rate mOdulatioN Simone Soderi R. Nicola 20 2 0 24 Apr 2024
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective Xianghua Xie Chen Hu Hanchi Ren Jingjing Deng FedML AAML 25 19 0 27 Nov 2023
Protecting Federated Learning from Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection Edoardo Gabrielli Dimitri Belli Vittorio Miori Gabriele Tolomei AAML 11 4 0 29 Mar 2023
A Revised Taxonomy of Steganography Embedding Patterns S. Wendzel L. Caviglione W. Mazurczyk A. Mileva J. Dittmann ... K. Lamshöft C. Vielhauer Laura Hartmann J. Keller Tom Neubert 12 32 0 16 Jun 2021
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 186 427 0 04 Mar 2020
Model-Reuse Attacks on Deep Learning Systems Yujie Ji Xinyang Zhang S. Ji Xiapu Luo Ting Wang SILM AAML 114 186 0 02 Dec 2018
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 177 1,014 0 29 Nov 2018