Jingwen Leng
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2026
On the (In-)Security of the Shuffling Defense in the Transformer Secure Inference
This paper demonstrates a novel attack against the shuffling defense used in secure Transformer inference, showing that randomly permuted activations can still be exploited to recover model weights.
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cs.CRcs.AIRecentMay 6, 2026
On the (In-)Security of the Shuffling Defense in the Transformer Secure Inference
Zhengyi Li, Yakai Wang, Kang Yang, Yu Yu +5 more
This paper demonstrates a novel attack against the shuffling defense used in secure Transformer inference, showing that randomly permuted activations can still be exploited to recover model weights.
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