Haodong Zhao (赵皓东)

I am a second-year Ph.D. candidate in AI Security Lab (Unicorn) at Shanghai Jiao Tong University, supervised by Prof. Gongshen Liu and Dr. Zhuosheng Zhang . I am also supervised by Prof. Bingsheng He in National University of Singapore (NUS). I worked with Ant Group from 2022/10 to 2023/10.

I got my bachelor's degree from School of Electronic Information and Electrical Engineering at Shanghai Jiao Tong University in 2021, supervised by Prof. Gongshen Liu.

My general research interest lies in Federated Learning, Split Learning, Backdoor attack in ML and NLP.

Email:zhaohaodong(at)sjtu.edu.cn

Research Intern (WXG, Federated Learning)
from May 2024 -

Propose FedPrompt to use federated prompt tuning on decentralized data in a communication-efficient and privacy preserving way.

Introduce a new backdoor attack method against speaker verification named Universal Identity attack under the open-set scenario.

Study the information capacity of DNN watermarks.

Present a novel view that interprets continuous prompts as a combination of discrete prompts.

Propose a secure and robust watermarking scheme to protect the IP of PLMs for the first time.

Propose a more natural word substitution method to implement covert textual backdoor attacks.

Conduct a timely review of backdoor attacks and countermeasures to sound the red alarm for the NLP security community.

Propose a new backdoor attacks against PLMs, called UOR, which breaks the bottleneck of the previous approach by turning manual selection into automatic optimization.

Present a method to transfer knowledge contained in hidden layers between a teacher network and a student network.

Propose the disentangled self-attention network (DSAN) to extract speaker embeddings from utterances.

The Class of 85 Computer Science Education Development Fund and Yang Yuanqing Education Fund Outstanding Undergraduate Excellence Scholarship. 2021

Outstanding Graduate of Shanghai. 2021

Rongchang Leadership Scholarship. 2021,2022,2023

Outstanding Teaching Assistant of Shanghai Jiaotong University

Journal Reviewer: IEEE Transactions on Neural Networks and Learning Systems(TNNLS)

Conference Reviewer: AAAI, ARR(ACL Rolling Review), APSIPA ASC

Teaching Assistant for "Introduction to AI", Fall 2023; "Operating System" , Fall 2022, Spring 2023, Spring 2024; "Principles of Computer Viruses" , Spring 2022; "Computer Programming Practice" , Summer 2022, Summer 2023.