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ContinuousBench: Can Differentially Private Synthetic Text Improve Capabilities? (TPDP 2026)

Peihan Liu, Lucas Rosenblatt, Weiwei Kong, Natalia Ponomareva, Gautam Kamath, Rachel Cummings, Roxana Geambasu, Yu Gan, Lillian Tsai, Alex Bie

Engineering Robustness into Personal Agents with the AI Workflow Store (under submission)

Roxana Geambasu, Mariana Raykova, Pierre Tholoniat, Trishita Tiwari, Lillian Tsai, Wen Zhang

An AI Agent Execution Environment to Safeguard User Data (under submission)

Robert Stanley, Avi Verma, Lillian Tsai, Konstantinos Kallas, Sam Kumar

IC-Cache: Efficient Large Language Model Serving via In-context Caching (SOSP 2025)

Yifan Yu, Yu Gan, Nikhil Sarda, Lillian Tsai, Jiaming Shen, Yanqi Zhou, Arvind Krishnamurthy, Fan Lai, Henry M. Levy, David Culler

Contextual Agent Security: A Policy for Every Purpose (HotOS 2025)

Lillian Tsai, Eugene Bagdasarian

Flexible Privacy via Disguising and Revealing (MIT PhD Thesis)

Lillian Tsai

Edna: Disguising and Revealing User Data in Web Applications (SOSP 2023)

Lillian Tsai, Hannah Gross, Frans Kaashoek, Eddie Kohler, Malte Schwarzkopf

Privacy Heroes Need Data Disguises (HotOS 2021)

Best presentation runner-up
Lillian Tsai, Malte Schwarzkopf, Eddie Kohler

CaSA: End-to-end Quantitative Security Analysis of Randomly Mapped Caches (MICRO 2020)

Intel Hardware Security Academic Award Finalist
Thomas Bourgeat, Jules Drean, Yuheng Yang, Lillian Tsai, Joel Emer, Mengjia Yan

Are We Susceptible to Rowhammer? An End-to-End Methodology for Cloud Providers (IEEE S&P 2020)

Lucian Cojocar, Jeremie Kim, Minesh Patel, Lillian Tsai, Stefan Saroiu, Alec Wolman, Onur Mutlu

enClosure: Group Communication via Encounter Closures (MobiSys 2019)

Lillian Tsai, Roberta De Viti, Matthew Lentz, Stefan Saroiu, Bobby Bhattacharjee, Peter Druschel

A Revised and Verified Proof of the Scalable Commutativity Rule (arXiv 2018)

Lillian Tsai, Eddie Kohler, Frans Kaashoek, Nickolai Zeldovich

Concurrent Algorithms in Transactional Data Structures (Harvard Thesis)

Lillian Tsai

Type Aware Transactions for Faster Concurrent Code (Eurosys 2016)

Nathaniel Herman, Jeevana Inala, Yihe Huang, Lillian Tsai, Eddie Kohler, Barbara Liskov, Liuba Shrira

Invited Public Talks

  • Security Agentic AI: Contextual Security and Beyond
    • Brown Systems Week Keynote (June 14, 2026)
    • UCLA Systems Seminar (May 13, 2026)
    • Berkeley Security Seminar (May 6, 2026)
  • Tools for Thought: Building Reliable AI Agents with Preferences and Context -- Brown University Lecture with Serena Booth (April 16, 2026)
  • Flexible Privacy via Disguising and Revealing -- Berkeley NetSys Talks (Nov 9, 2023)

Acknowledgements

In addition to the collaborators above, I owe special thanks to the constant support, mentorship, and friendship from the following computer scientists:

  • Eddie Kohler (Harvard)
  • Malte Schwarzkopf (Brown)
  • Frans Kaashoek (MIT)
  • David Culler (SRG)
  • Hank Levy (SRG)
  • Greg Ganger (SRG)
  • Marco Gruteser (Google Research)
  • Dan Ramage (Google Research)
  • Eugene Bagdasarian (Google Research)
  • Philip Levis (SRG)
  • Kim Keeton (SRG)
  • Anastasia Ailamaki (SRG)
  • Stefan Saroiu (MSR)
  • Matthew Lentz (Duke)
  • Roberta De Viti (MPI-SWS)
  • Joel Emer (MIT)
  • Margo Seltzer (UBC)
  • Peter Druschel (MPI-SWS)