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#secure-inference News & Analysis

2 articles tagged with #secure-inference. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBearisharXiv – CS AI · May 77/10
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On the (In-)Security of the Shuffling Defense in the Transformer Secure Inference

Researchers demonstrate that the shuffling defense mechanism used to protect Transformer model weights during secure inference can be broken through an alignment attack, allowing adversaries to recover weights with minimal cost. The attack exploits multiple shuffled activations by finding a common permutation, undermining a key security assumption in privacy-preserving machine learning.

AIBullisharXiv – CS AI · Jun 96/10
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FuseFSS: Efficient Secure LLM Inference with Function Secret Sharing

FuseFSS is a new compiler that streamlines secure LLM inference by consolidating fragmented protocol designs into a unified pipeline, achieving 1.24x-1.50x speedup and reducing communication overhead by 9-16% compared to existing function secret sharing approaches. The technology enables privacy-preserving queries to large language models without revealing user prompts, addressing a critical bottleneck in cryptographic systems for AI inference.