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cs.CR2024
Membership Inference Attacks and Defenses in Federated Learning: A Survey
Li Bai, Haibo Hu, Qingqing Ye +3
Federated learning is a decentralized machine learning approach where clients train models locally and share model updates to develop a global model. This enables low-resource devi…
cs.CL2024★ 1 cited
Why Are My Prompts Leaked? Unraveling Prompt Extraction Threats in Customized Large Language Models
Zi Liang, Haibo Hu, Qingqing Ye +2
The drastic increase of large language models' (LLMs) parameters has led to a new research direction of fine-tuning-free downstream customization by prompts, i.e., task description…