Yanbo Dai, Ph.D. Student Department of Computer Science and Engineering The Hong Kong University of Science and Technology Email: ydai851@cse.ust.hk(preferred), ybdai7@gmail.com [Google Scholar][Github]

About me

I am a first-year Ph.D. student at the CSE department of HKUST supervised by Prof. Shuai Wang. Before that, I received my Mphil degree from the IoT Thrust, Information Hub under the supervision of Prof. Songze Li. I received my bachelor degree of electronic information engineering from the Excellence class, School of Microelectronics and Communication Engineering, Chongqing University, where I worked with Prof. Hailin Cao.

Research

My research interests include

• AI Security with a recent focus on LLMs

• Backdoors in Federated Learning

• Backdoor Attacks & Defenses

News

• [05-30-2024] One paper is accepted by Usenix Security’24!

• [04-25-2023] One paper is accepted by ICML’23!

Education

• Ph.D. in Computer Science Engineering, HKUST, Aug. 2024 -

• M.phil. in Internet of Things, HKUST(GZ), Sep. 2022 - Jun. 2024

• B.Eng. in Electronic Information Engineering, Chongqing University, Sep. 2018 - Jun. 2022

Experience

• Research Assistant, School of Cyber Science and Engineering, Southeast University, hosted by Prof. Songze Li, Jun. 2024 - Aug. 2024

• Summer Research Internship, Department of EEE, The University of Hong Kong, hosted by Prof. Y.C. Wu, Jun. 2021 - Aug. 2021

Publications

(* indicates equal contribution)

• BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning
  Songze Li*, Yanbo Dai*
  Usenix Security ’24.

• Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning
  Yanbo Dai, Songze Li
  ICML’23

• Deep Domain Adaptation for Predicting Intra-AbdominalPressure with Multichannel Attention Fusion Radar Chip
  Hao Tang*, Yanbo Dai*, Dongchu Zhao, Zhiwei Sun, Fuqiang Chen, Yiliang Zhu,Huaping Liang, Hailin Cao, and Lianyang Zhang
  Advanced Intelligent Systems.