Chuan Ma

activity

20192023

most citedFederated Learning with Differential Privacy: Algorithms and Performance Analysis

88 citations · 301 across the 21 of their papers we have counts for

collaborators

Showing 2023Show all

3 papers · 1 filter

cs.CR2023★ 8 cited

G $^{2}$ uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering

Hao Yu, Chuan Ma, Meng Liu +5

Federated Learning (FL) offers collaborative model training without data sharing but is vulnerable to backdoor attacks, where poisoned model weights lead to compromised system inte…

cs.DC2023★ 16 cited

Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy

Kang Wei, Jun Li, Chuan Ma +5

Federated learning (FL) enables distributed clients to collaboratively train a machine learning model without sharing raw data with each other. However, it suffers the leakage of p…

cs.CR2023★ 1 cited

Efficient and Low Overhead Website Fingerprinting Attacks and Defenses based on TCP/IP Traffic

Guodong Huang, Chuan Ma, Ming Ding +4

Website fingerprinting attack is an extensively studied technique used in a web browser to analyze traffic patterns and thus infer confidential information about users. Several web…

G2uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering

Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy

Efficient and Low Overhead Website Fingerprinting Attacks and Defenses based on TCP/IP Traffic

G $^{2}$ uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering