The Tale of Evil Twins: Adversarial Inputs versus Backdoored Models. - Ren Pang; Xinyang Zhang 001; Shouling Ji; Yevgeniy Vorobeychik; Xiapu Luo; Ting Wang 006 (CoRR, 2019)

A Tale of Evil Twins: Adversarial Inputs versus Poisoned Models. - Ren Pang; Hua Shen; Xinyang Zhang 001; Shouling Ji; Yevgeniy Vorobeychik; Xiapu Luo; Alex X. Liu; Ting Wang 006 (CCS, 2020)

AdvMind: Inferring Adversary Intent of Black-Box Attacks. - Ren Pang; Xinyang Zhang 001; Shouling Ji; Xiapu Luo; Ting Wang 006 (KDD, 2020)

TROJANZOO: Everything you ever wanted to know about neural backdoors (but were afraid to ask). - Ren Pang; Zheng Zhang; Xiangshan Gao; Zhaohan Xi; Shouling Ji; Peng Cheng 001; Ting Wang 006 (CoRR, 2020)

i-Algebra: Towards Interactive Interpretability of Deep Neural Networks. - Xinyang Zhang 001; Ren Pang; Shouling Ji; Fenglong Ma; Ting Wang 006 (AAAI, 2021)

Graph Backdoor. - Zhaohan Xi; Ren Pang; Shouling Ji; Ting Wang 006 (USENIX Security Symposium, 2021)

Towards Robust Reasoning over Knowledge Graphs. - Zhaohan Xi; Ren Pang; Changjiang Li; Shouling Ji; Xiapu Luo; Xusheng Xiao; Ting Wang 006 (CoRR, 2021)

TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural Backdoors. - Ren Pang; Zheng Zhang; Xiangshan Gao; Zhaohan Xi; Shouling Ji; Peng Cheng 001; Xiapu Luo; Ting Wang 006 (EuroS&P, 2022)

On the Security Risks of AutoML. - Ren Pang; Zhaohan Xi; Shouling Ji; Xiapu Luo; Ting Wang 006 (USENIX Security Symposium, 2022)

Reasoning over Multi-view Knowledge Graphs. - Zhaohan Xi; Ren Pang; Changjiang Li; Tianyu Du; Shouling Ji; Fenglong Ma; Ting Wang 006 (CoRR, 2022)

Demystifying Self-supervised Trojan Attacks. - Changjiang Li; Ren Pang; Zhaohan Xi; Tianyu Du; Shouling Ji; Yuan Yao 001; Ting Wang 006 (CoRR, 2022)

An Embarrassingly Simple Backdoor Attack on Self-supervised Learning. - Changjiang Li; Ren Pang; Zhaohan Xi; Tianyu Du; Shouling Ji; Yuan Yao 001; Ting Wang 006 (ICCV, 2023)

The Dark Side of AutoML: Towards Architectural Backdoor Search. - Ren Pang; Changjiang Li; Zhaohan Xi; Shouling Ji; Ting Wang 006 (ICLR, 2023)

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 006 (NeurIPS, 2023)

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 006 (USENIX Security Symposium, 2023)

Model Extraction Attacks Revisited. - Jiacheng Liang; Ren Pang; Changjiang Li; Ting Wang 006 (AsiaCCS, 2024)

On the Difficulty of Defending Contrastive Learning against Backdoor Attacks. - Changjiang Li; Ren Pang; Bochuan Cao; Zhaohan Xi; Jinghui Chen; Shouling Ji; Ting Wang 006 (USENIX Security Symposium, 2024)

Watch the Watcher! Backdoor Attacks on Security-Enhancing Diffusion Models. - Changjiang Li; Ren Pang; Bochuan Cao; Jinghui Chen; Fenglong Ma; Shouling Ji; Ting Wang 006 (CoRR, 2024)