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Privacy Failure in Split-LLM Training, The Returned Gradient Nullifies the Decoys

Politis, Georgios et al.
arXiv (All) · Papers
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and-cluster-computingcryptography-and-securitydistributedmachine-learningparallel
We present a systems-security case study of a two-node split-LLM training system whose privacy evaluation passed while leaving an observable channel untested. The Trusted Local Node (TLN) sends protected activations to the Untrusted Cloud Node (UCN), the UCN returns its output, and TLN, holding the
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