Trusted Model Environment for Private Semantic Computations
Researchers propose trusted model environments that run generative models inside TEEs for private semantic computation.
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Researchers propose trusted model environments that run generative models inside TEEs for private semantic computation.
Framework uses CPU TEEs with probabilistic checking to verifiably enforce differential privacy on GPU-offloaded gradient computation at modest overhead.
SpliTEE splits LLM inference between Intel TDX trusted execution and untrusted GPUs, using differential privacy instead of encryption to protect intermediate representations.
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