5 papers
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…
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…
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…
Persistent BitTorrent Trackers
François-Xavier Wicht, Zhengwei Tong, Shunfan Zhou +2
Private BitTorrent trackers enforce upload-to-download ratios to prevent free-riding, but suffer from three critical weaknesses: reputation cannot move between trackers, centralize…
Dstack: A Zero Trust Framework for Confidential Containers
Shunfan Zhou, Kevin Wang, Hang Yin
Web3 applications require execution platforms that maintain confidentiality and integrity without relying on centralized trust authorities. While Trusted Execution Environments (TE…