Gradient Leakage Attack Resilient Deep Learning

Gradient Leakage Attack Resilient Deep Learning

25 December 2021

Ling Liu

Papers citing "Gradient Leakage Attack Resilient Deep Learning"

16 / 16 papers shown

Title
Dyn-D $^2$ P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee Z. Zhu Y. Huang Xin Wang Shouling Ji Jinming Xu 26 0 0 10 May 2025
On Model Protection in Federated Learning against Eavesdropping Attacks Dipankar Maity Kushal Chakrabarti FedML 65 0 0 02 Apr 2025
Efficiently Achieving Secure Model Training and Secure Aggregation to Ensure Bidirectional Privacy-Preservation in Federated Learning Xue Yang Depan Peng Yan Feng Xiaohu Tang Weijun Fang Jun Shao FedML 82 0 0 16 Dec 2024
Data Poisoning and Leakage Analysis in Federated Learning Wenqi Wei Tiansheng Huang Zachary Yahn Anoop Singhal Margaret Loper Ling Liu FedML SILM 28 0 0 19 Sep 2024
PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning Sizai Hou Songze Li Tayyebeh Jahani-Nezhad Giuseppe Caire FedML 34 1 0 12 Jul 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 25 16 0 02 Feb 2024
A Unified Framework for Generative Data Augmentation: A Comprehensive Survey Yunhao Chen Zihui Yan Yunjie Zhu 29 3 0 30 Sep 2023
RAI4IoE: Responsible AI for Enabling the Internet of Energy Minhui Xue Surya Nepal Ling Liu Subbu Sethuvenkatraman Xingliang Yuan Carsten Rudolph Ruoxi Sun Greg Eisenhauer 29 4 0 20 Sep 2023
Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks Daniel Scheliga Patrick Mäder M. Seeland FedML AAML 18 5 0 08 Sep 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 29 43 0 25 Jun 2023
Securing Distributed SGD against Gradient Leakage Threats Wenqi Wei Ling Liu Jingya Zhou Ka-Ho Chow Yanzhao Wu FedML 18 18 0 10 May 2023
CATFL: Certificateless Authentication-based Trustworthy Federated Learning for 6G Semantic Communications Gaolei Li Yuanyuan Zhao Yi Li 11 13 0 01 Feb 2023
Differentially Private Federated Clustering over Non-IID Data Yiwei Li Shuai Wang Chong-Yung Chi Tony Q. S. Quek FedML 22 12 0 03 Jan 2023
A Systematic Literature Review On Privacy Of Deep Learning Systems Vishal Jignesh Gandhi Sanchit Shokeen Saloni Koshti PILM 11 1 0 07 Dec 2022
Dropout is NOT All You Need to Prevent Gradient Leakage Daniel Scheliga Patrick Mäder M. Seeland FedML 22 12 0 12 Aug 2022
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 196 358 0 24 Mar 2020