CyLab Seminar - Taeho Jung
September 21, 2026 12:00PM—1:00PM
Location:
In Person and Virtual - ET
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Panther Hollow Conference Room, Mehrabian Collaborative Innovation Center 4105
Speaker:
TAEHO JUNG,
Associate Professor and Director of Graduate Studies, Department of Computer Science and Engineering, University of Notre Dame
https://sites.nd.edu/taeho-jung/
As AI systems become better at using our data — prompts, screens, records, and entire workflows — a central question emerges: who keeps control of the data? The most valuable data is also the most regulated, scattered across thousands of hospitals, banks, and enterprises that cannot legally or practically pool it in plaintext. This talk presents a research program aimed at a structure in which using data does not mean surrendering it. I will present results along three complementary threads. First, private set computation over encrypted data: fully homomorphic encryption protocols that perform exact private set intersection over a billion records distributed across a thousand encrypted silos in about a minute, fuzzy (cosine/Hamming) matching over high-dimensional embeddings up to three orders of magnitude faster than prior work, and the first encrypted label selection-and-analytics protocol enabling end-to-end encrypted fraud and AML analytics across thousands of institutions.
Second, minimal trusted hardware: we show that naively placing a differential-privacy sampler in an SGX enclave lets the host recover over 99% of the noise draws, and then design systems in which small, verified enclaves stay off the hot path — scaling secure federated-learning aggregation to 50,000 clients and making Intel TDX confidential VMs continuously and anonymously attestable at cloud scale. Third, Web3DB: a decentralized database series in which only an enclave is trusted, providing owner-defined row-level access control, near-cloud analytics performance, and serializable transactions over blockchain and IPFS. I will close with a vision that composes these primitives — policy, computation, and evidence layers — into a secure zero-trust ecosystem for agentic AI.
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Taeho Jung is an Associate Professor in the Department of Computer Science and Engineering and the Dennis O. Doughty Collegiate Professor. (endowed chair professor). He received the Ph.D. from Illinois Institute of Technology in 2017 and B.E. from Tsinghua University in 2011. He is an NSF CAREER awardee (2024), and he has received over $3M in research grants and has published over 100 articles in various top-tier conferences and journals. His research focuses on security and privacy, applied cryptography, confidential computing, privacy-preserving data analytics, and trustworthy AI infrastructure. He studies how sensitive data can be securely processed in untrusted cloud and multi-party environments, with particular emphasis on hardware-assisted trusted execution, secure data collaboration, and data governance for emerging AI systems
In Person and Zoom Participation. See announcement.
⇢ CyLab seminars are open to CyLab Partners and current CMU faculty, staff, and students.
For More Information:
bethbuch@andrew.cmu.edu