78 citations · 122 across the 6 of their papers we have counts for
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cs.CR2026
Profile-DP: Differential Privacy for User-Controlled Profile Release in Personalized LLM Inference
Mingchen Li, Zifan Peng, Kewei Sha +5
Personalized large language models (LLMs) increasingly rely on profile-conditioned inference, pairing public requests with rich, user-specific facts. This paradigm exposes the user…
cs.CR2022★ 7 cited
Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information
Yi Zeng, Minzhou Pan, Hoang Anh Just +3
Backdoor attacks insert malicious data into a training set so that, during inference time, it misclassifies inputs that have been patched with a backdoor trigger as the malware spe…