Privacy Collapse: Benign Fine-Tuning Can Break Contextual Privacy in Language Models
Paper
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2601.15220
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Published
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8
📚 Papers
List of research articles of Parameter Lab
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Dr.LLM: Dynamic Layer Routing in LLMs
Paper • 2510.12773 • Published • 32 -
Is Multilingual LLM Watermarking Truly Multilingual? A Simple Back-Translation Solution
Paper • 2510.18019 • Published • 18 -
Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers
Paper • 2506.15674 • Published • 2 -
C-SEO Bench: Does Conversational SEO Work?
Paper • 2506.11097 • Published • 2 -
Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models
Paper • 2411.00154 • Published • 1 -
TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification
Paper • 2402.12991 • Published • 1 -
Calibrating Large Language Models Using Their Generations Only
Paper • 2403.05973 • Published • 1 -
ProPILE: Probing Privacy Leakage in Large Language Models
Paper • 2307.01881 • Published • 2