Bookworm Game: Automatic Discovery of LTE Vulnerabilities Through Documentation Analysis. - Yi Chen 024; Yepeng Yao; XiaoFeng Wang 001; Dandan Xu; Chang Yue; Xiaozhong Liu; Kai Chen 012; Haixu Tang; Baoxu Liu (SP, 2021)

Invisible Backdoor Attacks Using Data Poisoning in Frequency Domain. - Chang Yue; Peizhuo Lv; Ruigang Liang; Kai Chen 012 (ECAI, 2023)

A Data-free Backdoor Injection Approach in Neural Networks. - Peizhuo Lv; Chang Yue; Ruigang Liang; Yunfei Yang 001; Shengzhi Zhang; Hualong Ma; Kai Chen 012 (USENIX Security Symposium, 2023)

SSL-WM: A Black-Box Watermarking Approach for Encoders Pre-trained by Self-Supervised Learning. - Peizhuo Lv; Pan Li; Shenchen Zhu; Shengzhi Zhang; Kai Chen 012; Ruigang Liang; Chang Yue; Fan Xiang; Yuling Cai; Hualong Ma; Yingjun Zhang; Guozhu Meng (NDSS, 2024)

DARKFLEECE: Probing the Dark Side of Android Subscription Apps. - Chang Yue; Chen Zhong; Kai Chen 012; Zhiyu Zhang; Yeonjoon Lee (USENIX Security Symposium, 2024)

Model-Enhanced LLM-Driven VUI Testing of VPA Apps. - Suwan Li; Lei Bu; Guangdong Bai; Fuman Xie; Kai Chen 012; Chang Yue (CoRR, 2024)

Learning Interpretable Differentiable Logic Networks. - Chang Yue; Niraj K. Jha (CoRR, 2024)

Rule-based Data Selection for Large Language Models. - Xiaomin Li; Mingye Gao; Zhiwei Zhang; Chang Yue; Hong Hu (CoRR, 2024)

CTRL: Clustering Training Losses for Label Error Detection. - Chang Yue; Niraj K. Jha (IEEE Trans. Artif. Intell., 2024)

SAP-DIFF: Semantic Adversarial Patch Generation for Black-Box Face Recognition Models via Diffusion Models. - Mingsi Wang; Shuaiyin Yao; Chang Yue; Lijie Zhang; Guozhu Meng (ICMR, 2025)

What's Done Is Not What's Claimed: Detecting and Interpreting Inconsistencies in App Behaviors. - Chang Yue; Kai Chen 012; Zhixiu Guo; Jun Dai; Xiaoyan Sun 003; Yi Yang 100 (NDSS, 2025)

Learning Interpretable Differentiable Logic Networks for Tabular Regression. - Chang Yue; Niraj K. Jha (CoRR, 2025)