Gilles Tredan
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126
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2026
FLIPS: Instance-Fingerprinting for LLMs via Pseudo-random Sequences
The paper introduces FLIPS, an instance-level fingerprinting technique that exploits biases in generated random sequences to accurately distinguish between different configurations of the same Large Language Model (LLM), which is crucial for AI regulation.
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