most citedFLTracer: Accurate Poisoning Attack Provenance in Federated Learning

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CR2026

Detecting Data Poisoning in Code Generation LLMs via Black-Box, Vulnerability-Oriented Scanning

Shenao Yan, Shimaa Ahmed, Shan Jin +5

Code generation large language models (LLMs) are increasingly integrated into modern software development workflows. Recent work has shown that these models are vulnerable to backd…

cs.CR2023★ 1 cited

FLTracer: Accurate Poisoning Attack Provenance in Federated Learning

Xinyu Zhang, Qingyu Liu, Zhongjie Ba +5

Federated Learning (FL) is a promising distributed learning approach that enables multiple clients to collaboratively train a shared global model. However, recent studies show that…