3 papers
cs.CR2025
Runtime Backdoor Detection for Federated Learning via Representational Dissimilarity Analysis
Xiyue Zhang, Xiaoyong Xue, Xiaoning Du +3
Federated learning (FL), as a powerful learning paradigm, trains a shared model by aggregating model updates from distributed clients. However, the decoupling of model learning fro…
cs.SE2024
Evaluation and Improvement of Fault Detection for Large Language Models
Qiang Hu, Jin Wen, Maxime Cordy +4
Large language models (LLMs) have recently achieved significant success across various application domains, garnering substantial attention from different communities. Unfortunatel…
cs.CR2024
Large Language Model Supply Chain: Open Problems From the Security Perspective
Qiang Hu, Xiaofei Xie, Sen Chen +1
Large Language Model (LLM) is changing the software development paradigm and has gained huge attention from both academia and industry. Researchers and developers collaboratively e…