Study Room 001: importance of TEE and FHE in AI
🚀Join us at this five-spot-only online discussion about leveraging TEE & FHE to provide security and privacy for AI flow.
Featured Guest Speakers
We're excited to announce two distinguished guest speakers who will share their expertise during our co-study series:
Liam Ren - CEO, Co-founder of Morphic
5+ years of research experience at the Oxford Blockchain Research Centre
Published papers at top-tier conferences and journals, including ICDCS, ACSAC, and TIFS
Felix Meng - Co-founder of Xtrace
Stanford MS 2023, Sandia National Lab AI Researcher
Global Track Winner of StarkNet Hackathon
Bringing cutting-edge insights from Stanford and Sandia National Lab
Siheng Pan - CS Master at UIUC
Research in Secure and Scalable Computation
In the exploration of mobile TEE use case
Key Topics:
Trusted Execution Environments (TEEs) in AI workflows
Privacy-preserving federated learning and secure model aggregation
Verifiable AI: from training to inference
Ethical implications and regulatory challenges of confidential AI
Format:
Online Discussions: 60-minute interactive online meetings
Discussion Forums: Ongoing conversations and Q&A in our online community
Resource Sharing: Access to a curated repository of papers, code samples, and presentations
Flexible Participation: Attend live sessions or catch up with notes at your own pace