arXiv:2610.04319v1 Announce Type: new Abstract: Transformer models such as BERT and Vision Transformer~(ViT) achieve strong performance via densely parameterized attention backbones. However, the least significant bits~(LSBs) of their 32-bit floating-point weights can be abused as covert channels to conceal malicious payloads, posing a serious threat to the AI model supply chain.
GrayShield: Bit-Level Sanitization for Transformer Model Supply-Chain Security
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