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cs.DC2026
The Serialized Bridge: Understanding and Recovering LLM Serving Performance under Blackwell GPU Confidential Computing
Hang Yin, Kevin Wang
GPU Confidential Computing (GPU-CC) now preserves GPU-local performance: on NVIDIA B300, BF16 matmul runs at 0.998x of non-confidential performance. Yet LLM serving under Intel TDX…
cs.CR2026
Implement Kubernetes Pod-Level Remote Attestation for Confidential Workloads on dstack
Yang Yang, Kevin Wang, Yuanhai Luo +4
The rise of LLM-as-a-Service and other confidential cloud workloads demands cryptographic proof that user data is processed in a trusted, untampered environment. Existing solutions…
cs.CR2026
PASS: A Provenanced Access Subaccount System for Blockchain Wallets
Jay Yu, Shunfan Zhou, Hang Yin +1
Blockchain wallets conventionally follow an ownership model where possession of a private key grants unilateral control. However, this assumption is brittle for emerging settings s…