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Fine-tuned TTS models expose severe privacy risks, with membership inference attacks achieving speaker-level AUCs nearing perfect accuracy.
LLM providers can inflate your bill by over 14x without detection, thanks to unauditable token counts and a "trust paradox" at the heart of current auditing frameworks.