InspiringGroup

The InspiringGroup is a dynamic research group led by Prof. Zhuotao Liu. We have worked on a wide range of topics centering around data. We build secure and efficient networking and systems infrastructure to support data transmissions and computations. Meanwhile, we create various data-centric applications with special interests on data security and privacy.

Research

Awards

2025

中国电子学会科技进步一等奖:高效协作的互联网动态行为安全可信关键技术与应用

2024

Distinguished Paper Award, USENIX Security, on secure Internet routing.

2024

Internet Defense Prize, USENIX Security, on secure Internet routing.

2023

Distinguished Paper Award, USENIX Security, on on-chip AI for networking

2020

Google Feats of Engineering Award, on automated data center network management and capacity augmentation.

2019

Google Feats of Engineering Award, on scalable data center control plane and network availability improvement.

2018

INFOCOM Best-in-session Presentation Award, on data center networking.

2017

NSF I-Corps Award, on network security and DDoS prevention.

Latest News

May 2025


[Applied AI in Networking] Our paper on certified robustness of AI-driven traffic analysis is accepted by USENIX Security 2025. This work features the most advanced provable robustness of AI models, in the domain of network traffic analysis!

May 2025


[Academic Service] Another edition of IEEE S&P. Looking forward to your submissions.

April 2025


[Intelligent Network] Our paper on scaling neural network inference on the intelligent network dataplane is accepted by ACM SIGCOMM 2025. The era of Network AI Agent arrives!

March 2025


[Privacy Computing for AI] Our paper (RingSG) on optimal secure vertex-centric computation for collaborative graph processing is accepted by ACM CCS 2025. This work features the optimal communication and computation complexity within the MPC-based vertex-centric abstraction for collaborative graph processing.

March 2025


[Applied AI in Networking] Our paper (MM4flow) on constructing multi-modal pre-trained large models for traffic analysis is accepted by ACM CCS 2025.

Jan 2025


[Academic Service] Another year of CCS cycle. Your contribution is welcome.

Sep 2024


[Applied AI in Networking] Our paper on pre-training transformer models for analyzing network-traffic data is accepted by IEEE S&P 2025.

Current and Past Affiliations