Phala Research
Our research toward trusted AI — trusted execution environments, secure GPU inference, and verifiable systems you can check yourself.
All papers

TEE Infrastructure
Implementing Kubernetes Pod-Level Remote Attestation for Confidential Workloads on dstack
YY
YL
+3
Yang Yang, Kevin Wang, +5Jun 2026
AI Safety & Evaluation
LegalCiteBench: Evaluating Citation Reliability in Legal Language Models
SC

Sijia Chen, Hang Yin, Shunfan ZhouMay 2026
Verifiable Systems
PASS: A Provenanced Access Subaccount System for Blockchain Wallets
JY
BS
Jay Yu, Shunfan Zhou, +2Apr 2026
Verifiable Systems
Persistent BitTorrent Trackers
FWZT
+1
François-Xavier Wicht, Zhengwei Tong, +3Nov 2025
TEE Infrastructure
Dstack: A Zero Trust Framework for Confidential Containers

GPU Confidential Computing
Confidential Computing on NVIDIA Hopper GPUs: A Performance Benchmark Study
JZ
PDAA+1
Jianwei Zhu, Hang Yin, +3Sep 2024