: MC-ORAM appears at ISCA 2026
MC-ORAM: A Mask-Assisted and Counter-Based Non-Deterministic ORAM Inside VM-Based TEEs, joint work with Yongqin Wang, Rachit Rajat, Jonghyun Lee, and Murali Annavaram, appears at ISCA 2026.
SEPT Lab
University of Southern California
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Security, Privacy, and Trust Lab
MC-ORAM: A Mask-Assisted and Counter-Based Non-Deterministic ORAM Inside VM-Based TEEs, joint work with Yongqin Wang, Rachit Rajat, Jonghyun Lee, and Murali Annavaram, appears at ISCA 2026.
Hollow-LLM Attack: Computationally Trivial Weights in Zero-Knowledge Verification of LLM Inference, by Chen Gong, Beijie Liu, and Mengyuan Li, appears at the 2026 IEEE Symposium on Security and Privacy.
Prof. Li gave a talk titled Confidential Computing and Trusted Execution Environments: Challenges and Opportunities for Trustworthy AI at the University of Chicago Department of Computer Science.
WAVE: Leveraging Architecture Observation for Privacy-Preserving Model Oversight, by Haoxuan Xu, Chen Gong, Beijie Liu, Haizhong Zheng, Beidi Chen, and Mengyuan Li, is published in the ASPLOS 2026 proceedings. The artifact is available on GitHub.
SCALE, which tackles communication bottlenecks in confidential multi-GPU machine learning, was presented at HPCA 2026 in the Distributed and Multi-GPU Training session.
Writing in Symbiosis: Mapping Human Creative Agency in the AI Era, by Vivan Doshi and Mengyuan Li, appears in the NeurIPS 2025 Creative AI Track.
A Close Look at RMP Entry Caching and Its Security Implications in SEV-SNP appeared at HASP 2025. AMD published security bulletin AMD-SB-3036 on October 20, 2025, crediting the researchers.
Chekhov’s Gun: Uncovering Hidden Risks in macOS Application-Sandboxed PID-Domain Services, led by Minghao Lin, is published in the ACM CCS 2025 proceedings.
Few-Shot Graph Out-of-Distribution Detection with LLMs, first-authored by PhD student Haoyan Xu, is published in the ECML PKDD 2025 proceedings.
SoK: Understanding Design Choices and Pitfalls of Trusted Execution Environments appears at ACM ASIACCS 2024.
Mengyuan Li joined the Thomas Lord Department of Computer Science at USC as an Assistant Professor and started SEPT Lab.
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