3 papers
cs.CR2026
Defense against Poisoning Attacks under Shuffle-DP
Siyi Wang, Qiyao Luo, Yihua Hu +6
Differential Privacy (DP) has become the gold standard for protecting individual privacy in data analytics, and the shuffle-DP model has attracted significant attention from both a…
cs.CR2023
FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security Analysis
Yiling He, Jian Lou, Zhan Qin +1
Deep learning classifiers achieve state-of-the-art performance in various risk detection applications. They explore rich semantic representations and are supposed to automatically…
cs.CR2023
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding
Yuke Hu, Wei Liang, Ruofan Wu +5
Knowledge Graph Embedding (KGE) is a fundamental technique that extracts expressive representation from knowledge graph (KG) to facilitate diverse downstream tasks. The emerging fe…