On the (In-)Security of the Shuffling Defense in the Transformer Secure Inference

Zhengyi Li, Yakai Wang, Kang Yang +6

For Transformer models, cryptographically secure inference ensures that the client learns only the final output, while the server learns nothing about the client's input. However,…