TurboQuant on llama.cpp uses a two-stage pipeline to compress KV cache by ~5.3x. Stage 1 (Rotation): A randomized Fast Walsh-Hadamard Transform (FWHT) rotates the KV vectors to normalize their ...
This the official implementation of the paper: Detecting and Defending against Adversarial Attacks on Automatic Speech Recognition via Diffusion Models. We defend against adversarial attacks on ...
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