I am currently a final year Ph.D. student at Stony Brook University, supervised by Dr. Ting Wang. Prior to transferring to Stony Brook in 2023, I was a Ph.D. candidate at Penn State. I earned my Bachelor’s degree from Tianjin University and my Master’s degree from Zhejiang University (supervised by Dr. Shouling Ji). My research interests encompass adversarial machine learning, large language models, and deepfake detection.
I am on the job market. Feel free to reach out if you are interested in my research or have relevant opportunities.
@inproceedings{li2024on,title={On the Difficulty of Defending Contrastive Learning against Backdoor Attacks},author={Li, Changjiang and Pang, Ren and Cao, Bochuan Xi, Zhaohan and Chen, Jinghui and Ji, Shouling and Wang, Ting},booktitle={The 33nd USENIX Security Symposium (Security '24)},year={2024},dimensions={true}}
2023
CTRL
An Embarrassingly Simple Backdoor Attack against Self-supervised Learning
Changjiang Li, Ren Pang, Zhaohan Xi, and 4 more authors
In The 2023 International Conference on Computer Vision (ICCV ’23), 2023
@inproceedings{Li2023simple,title={An Embarrassingly Simple Backdoor Attack against Self-supervised Learning},author={Li, Changjiang and Pang, Ren and Xi, Zhaohan and Du, Tianyu and Ji, Shouling and Yao, Yuan and Wang, Ting},booktitle={The 2023 International Conference on Computer Vision (ICCV '23)},year={2023},dimensions={true},}
2022
LiveBugger
Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era
Changjiang Li, Li Wang, Shouling Ji, and 4 more authors
In The 31st USENIX Security Symposium (Security ’22), 2022