Author

Fnu Suya

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#artificial intelligence Preprint Sep 2026

Greedy Decoding Is Not Precision-Invariant: Cross-Precision Output Divergence in LLM Inference

An empirical error-propagation analysis is developed and finds that 22 layers of accumulated body error do not distinguish flipping from non-flipping steps; the outcome depends primarily on the top-two logit margin at the LM head relative to the directional perturbation between the top-two candidates.

Gao-Yuan Du, A. Khan, Rex Zhou et al. · 0 citations

#machine learning Preprint Sep 2026

Hearing the Whispers: Black-Box Membership Inference Attacks on Finetuned TTS Models

Text-to-Speech (TTS) foundation models are increasingly fine-tuned on private datasets to synthesize highly personalized voices, introducing severe privacy risks by exposing both biometric identities and sensitive speech content. Existing black-box membership inference attacks (MIAs) follow a two-stage pipeline of quer...

Kun-Lin Cai, Kai-Yuan Zhang, Zihang Xiang et al. · 0 citations