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[pytorch]

1 edition · 1 item

October 22, 2026

  • A PyTorch demonstration hides Turing-complete computation inside a loss that logs 0.0. An IEEE 754/autodiff mismatch lets a malicious regularizer drive arbitrary state updates during backward() and stage a payload in model weights without modifying the supplied base checkpoint, architecture, dataset or optimizer. This is a proof, not an observed compromise, but it shows why ML supply-chain review cannot stop at checkpoint hashes, as the research write-up explains. · AI & Model Security

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