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25-27, August 2025
Amsterdam, Netherlands
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Note: The schedule is subject to change.

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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

Tuesday August 26, 2025 11:55 - 12:35 CEST
ManaTEE is an open-source framework that enables private data analytics for public research using Trusted Execution Environments (TEEs). In this talk, we show how ManaTEE supports verifiable AI transparency, especially for proprietary models where open inspection is not feasible. TEEs allow sensitive model evaluation and data analysis in isolated, secure environments with cryptographic attestation, ensuring the integrity of both the model and data. This enables external researchers and auditors to assess AI systems without direct access to the model or sensitive data. ManaTEE simplifies this process with a secure, interactive Jupyter Notebook interface where users can load benchmarks, write evaluation code, and analyze results—preserving data confidentiality and model secrecy. We will demo how ManaTEE evaluates a closed-source AI model in a reproducible and auditable way, helping balance the need for transparency with confidentiality.
Speakers
avatar for Dayeol Lee

Dayeol Lee

Research Scientist, TikTok
Dayeol Lee is currently a research scientist at TikTok's Privacy Innovation Lab. His research interests are system security, trusted computing, and computer architecture. He earned his Ph.D. in Electrical Engineering and Computer Sciences from the University of California, Berkeley... Read More →
avatar for Mingshen Sun

Mingshen Sun

Research Scientist, TikTok
Mingshen is leading application and innovation of the trusted/confidential computing technologies at TikTok. Previously, he worked on multiple open-source projects towards building safe, secure and trustworthy systems. Mingshen also published papers and gave talks on topics at the... Read More →
Tuesday August 26, 2025 11:55 - 12:35 CEST
TBA
  Digital Trust

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