Publications
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On the Difficulty of Defending Contrastive Learning against Backdoor Attacks
Changjiang Li, Ren Pang, Bochuan Cao, Jinghui Chen, Shouling Ji, Ting Wang
USENIX Security’24 -
Defending Pre-trained Language Models as Few-shot Learners Against Backdoor Attacks
Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Jinghui Chen, Fenglong Ma, Ting Wang
NeurIPS’23 -
An Embarrassingly Simple Backdoor Attack against Self-supervised Learning
Changjiang Li, Ren Pang, Zhaohan Xi, Tianyu Du, Shouling Ji, Yuan Yao, Ting Wang
ICCV’23 -
On the Security Risks of Knowledge Graph Reasoning
Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Xiapu Luo, Xusheng Xiao, Fenglong Ma, Ting Wang
USENIX Security’23 -
The Dark Side of AutoML: Towards Architectural Backdoor Search
Ren Pang, Changjiang Li, Zhaohan Xi, Shouling Ji, Ting Wang
ICLR’23 -
TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural Backdoors
Ren Pang, Zheng Zhang, Xiangshan Gao, Zhaohan Xi, Shouling Ji, Cheng Peng, Ting Wang
IEEE EuroS&P’22 -
On the Security Risks of AutoML
Ren Pang, Zhaohan Xi, Shouling Ji, Xiapu Luo, Ting Wang
USENIX Security’22 -
Graph Backdoor
Zhaohan Xi, Ren Pang, Shouling Ji, Ting Wang
USENIX Security’21 -
i-Algebra: Towards Interactive Interpretability of Neural Nets
Xinyang Zhang, Ren Pang, Shouling Ji, Fenglong Ma, Ting Wang
AAAI’21 -
AdvMind: Inferring Adversary Intent of Black-Box Attacks
Ren Pang, Xinyang Zhang, Shouling Ji, Xiapu Luo, Ting Wang
ACM KDD’20 -
A Tale of Evil Twins: Adversarial Inputs versus Poisoned Models
Ren Pang, Hua Shen, Xinyang Zhang, Shouling Ji, Yevgeniy Vorobeychik, Xiapu Luo, Alex Liu, Ting Wang
ACM CCS’20