Zhuotao Liu

Associate Professor

Institute for Network Sciences and Cyberspace
Tsinghua University

Portrait of Zhuotao Liu
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Researcher in trustworthy AI, secure networked systems, and intelligent network infrastructure. Since joining Tsinghua in 2021, Dr. Liu has built an independent research program spanning trust-native AI, privacy-preserving computation, robust learning-based security, programmable data planes, and secure Internet infrastructure. This work combines fundamental algorithms with deployable systems and has earned three Distinguished Paper Awards at USENIX Security (2023 and 2024) and ACM CCS (2025), as well as the Internet Defense Prize at USENIX Security 2024. Before joining Tsinghua, he led network-infrastructure projects at Google and received two Google Feats of Engineering Awards during his four years there. He earned his Ph.D. in Computer Engineering from the University of Illinois Urbana-Champaign (UIUC) in 2017, and part of his research there won the NSF I-Corps award.
  • Our work on trust-native AI inference infrastructure using legacy GPUs was accepted to ACM CCS 2026.

  • Our work on meta-learning for continual traffic analysis was accepted to USENIX Security 2026.

  • RingSG received a Distinguished Paper Award at ACM CCS 2025.

  • Our paper on confidential/private inference over Transformer-based large models via novel cryptography constructions is accepted by IEEE S&P 2026.

  • Another three papers on RL-driven traffic analysis, website fingerprinting, and web application firewall are accepted by ISOC NDSS 2026.

  • Our paper on understanding BGP hijacking attacks given partially deployed ROV is accepted by ISOC NDSS 2026.

Trust-native AI

Secure Transformer inference, private collaborative learning, secure graph computation, and verifiable federated learning.

Robust Learning for Network Security

Traffic analysis, website fingerprinting, and routing anomaly detection that remain effective under changing conditions and adversarial manipulation.

Intelligent Network Infrastructure

Machine learning in programmable network devices, high-performance datacenter networks, and network lifecycle automation.

Deployable and Secure Internet Systems

Practical defenses for Internet routing and DDoS attacks, alongside secure network control and cross-chain interoperability.

  • 2026

    Outstanding Doctoral Dissertation Advisor(清华大学优秀博士学位论文指导教师)

    Tsinghua University

  • 2025

    Teaching Award, Chinese Institute of Electronics

    An innovative cybersecurity course

  • 2025

    Distinguished Paper Award · ACM CCS

    Secure and optimal multi-party graph processing

  • 2025

    Scientific and Technological Progress Award, Chinese Institute of Electronics

    Trustworthy multi-party computations for Internet-scale systems and applications

  • 2024

    Distinguished Paper Award · USENIX Security

    Secure Internet routing

  • 2024

    Internet Defense Prize · USENIX Security

    Secure Internet routing

  • 2023

    Distinguished Paper Award · USENIX Security

    On-chip AI for networking

  • 2020

    Google Feats of Engineering Award

    Automated datacenter network management and capacity augmentation

  • 2019

    Google Feats of Engineering Award

    Scalable datacenter control plane and network availability

  • 2018

    Best-in-session Presentation Award · IEEE INFOCOM

    Datacenter networking

  • 2017

    NSF I-Corps Award

    Network security and DDoS prevention

Editorial Service

  • 2025–present

    Associate Editor

    IEEE Transactions on Dependable and Secure Computing (TDSC)

Program Committees

  • 2027

    IEEE S&P; USENIX Security

  • 2026

    IEEE S&P; ACM CCS; USENIX Security

  • 2025

    ACM CCS; ACM SIGMETRICS/Performance

  • 2024

    ACM CCS; USENIX Security; IEEE ICDCS

  • 2022–2023

    ACM CCS (2022, 2023); IEEE ICDCS (2023)

My first Ph.D. graduate, Zhenhua Zou, received Tsinghua University’s Outstanding Doctoral Dissertation Award in 2026. He also first-authored RingSG, which received the ACM CCS 2025 Distinguished Paper Award.
  • 2023–present

    Introduction to Cybersecurity

    Undergraduate · Co-instructor

  • 2022–present

    Applied Cryptography and Blockchain

    Graduate · Primary instructor

  • 2022–present

    Data Security

    Graduate · Co-instructor

  • 2022–present

    Advanced Internet Architecture

    Graduate · Guest lecturer

I welcome students and collaborators interested in secure networking, systems, and trustworthy AI.

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