Welcome to the InspiringGroup

The InspiringGroup is a dynamic research group here @ Tsinghua University INSC. We have worked on a wide range of topics centering around data. We build secure and efficient underlying systems infrastructure to support data transmissions and computations. Meanwhile, we create various data-centric applications with special interests on data security and privacy. See our Research for more details.

The InspiringGroup is led by Principal Investigator (PI), Dr. Zhuotao Liu, who has a strong track-record in both academia and industry. Dr. Liu received his Ph.D. from University of Illinois at Urbana-Champaign (UIUC) and worked at Google as a Technical Lead in both the NetInfra (Network Infrastructure) and GGN (Google Global Networking) team.

We are looking for new Ph.D. students, Postdocs, Master students, undergraduate students and external interns to join our team. Here at InspiringGroup, we strive to build a friendly, supportive, and flourishing culture, and to make your experiences at InspiringGroup full of “Wow Moments”. See Future Students.


July 2024

[Applied AI] Our paper on performing fine-grained and large-scale webpage fingerprinting via encrypted traffic analysis is accepted by ACM CCS 2024.

June 2024

[LLM Security / Privacy] Our paper on protecting LLM models by identifying key parameters is accepted by ICML 2024 NextGenAISafety workshop.

June 2024

[Academic Service] Invited to serve on the TPC of IEEE S&P 2025. Please consider to submit.

May 2024

[Privacy Computing for AI] CoGNN is awarded all three badges from ACM CCS 2024 artifact evaluation committee.

April 2024

[Privacy Computing for AI] Our paper CoGNN on training graph nerual networks (GNNs) over distributed and private graph data across multiple data providers is accepted by ACM CCS 2024. This work features multiple novel crypto constructions to realize fully-distributed and scalable GNN training/inference over distributed private graph data.

Feb 2024

[Privacy Theory in ML] Our paper on understanding the data privacy in FL is accepted by USENIX Secuirty 2024.

Jan 2024

[Network Security] Our paper on detecting and interpreting BGP anomalies at scale is accepted by USENIX Secuirty 2024.

Dec 2023

[Academic Services] Invited to serve on the TPC of ACM CCS 2024 (Machine Learning Security Track), Usenix Security 2024, SIGMETRICS 2024 and IEEE ICDCS 2024. Please consider to submit.

Dec 2023

[ML Systems] Our paper on intelligent network dataplane (INDP) is accepted by USENIX NSDI 2024, This work features the most advanced IDNP design that enables nerual network driven traffic analysis at line-speed.

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