Chang Yue

20 papers A* 6A 1B 1Journal 12
YearRankTypeTitle / Venue / Authors
2026 A* conf
Selection of LLM Fine-Tuning Data Based on Orthogonal Rules.
AAAI
Xiaomin Li, Mingye Gao, Zhiwei Zhang, Chang Yue, Hong Hu
2026 J jnl
When Voice Meets Touch: Conflict Analysis in Mobile Applications.
IEEE Trans. Software Eng.
Suwan Li, Lei Bu, Shangqing Liu, Guangdong Bai, Fuman Xie, Kai Chen, Chang Yue
2025 J jnl
Learning Interpretable Differentiable Logic Networks for Tabular Regression.
CoRR
Chang Yue, Niraj K. Jha
2025 J jnl
Learning Interpretable Differentiable Logic Networks for Time-Series Classification.
CoRR
Chang Yue, Niraj K. Jha
2025 B conf
SAP-DIFF: Semantic Adversarial Patch Generation for Black-Box Face Recognition Models via Diffusion Models.
ICMR
Mingsi Wang, Shuaiyin Yao, Chang Yue, Lijie Zhang, Guozhu Meng
2025 J jnl
SAP-DIFF: Semantic Adversarial Patch Generation for Black-Box Face Recognition Models via Diffusion Models.
CoRR
Mingsi Wang, Shuaiyin Yao, Chang Yue, Lijie Zhang, Guozhu Meng
2025 A* conf
What's Done Is Not What's Claimed: Detecting and Interpreting Inconsistencies in App Behaviors.
NDSS
Chang Yue, Kai Chen, Zhixiu Guo, Jun Dai, Xiaoyan Sun, Yi Yang
2024 J jnl
CTRL: Clustering Training Losses for Label Error Detection.
IEEE Trans. Artif. Intell.
Chang Yue, Niraj K. Jha
2024 A* conf
DARKFLEECE: Probing the Dark Side of Android Subscription Apps.
USENIX Security Symposium
Chang Yue, Chen Zhong, Kai Chen, Zhiyu Zhang, Yeonjoon Lee
2024 J jnl
Learning Interpretable Differentiable Logic Networks.
CoRR
Chang Yue, Niraj K. Jha
2024 J jnl
Learning Interpretable Differentiable Logic Networks.
IEEE Trans. Circuits Syst. Artif. Intell.
Chang Yue, Niraj K. Jha
2024 J jnl
Model-Enhanced LLM-Driven VUI Testing of VPA Apps.
CoRR
Suwan Li, Lei Bu, Guangdong Bai, Fuman Xie, Kai Chen, Chang Yue
2024 J jnl
Rule-based Data Selection for Large Language Models.
CoRR
Xiaomin Li, Mingye Gao, Zhiwei Zhang, Chang Yue, Hong Hu
2024 A* conf
SSL-WM: A Black-Box Watermarking Approach for Encoders Pre-trained by Self-Supervised Learning.
NDSS
Peizhuo Lv, Pan Li, Shenchen Zhu, Shengzhi Zhang, Kai Chen, Ruigang Liang, Chang Yue, Fan Xiang, Yuling Cai, Hualong Ma, Yingjun Zhang, Guozhu Meng
2023 A* conf
A Data-free Backdoor Injection Approach in Neural Networks.
USENIX Security Symposium
Peizhuo Lv, Chang Yue, Ruigang Liang, Yunfei Yang, Shengzhi Zhang, Hualong Ma, Kai Chen
2023 A conf
Invisible Backdoor Attacks Using Data Poisoning in Frequency Domain.
ECAI
Chang Yue, Peizhuo Lv, Ruigang Liang, Kai Chen
2022 J jnl
CTRL: Clustering Training Losses for Label Error Detection.
CoRR
Chang Yue, Niraj K. Jha
2022 J jnl
Invisible Backdoor Attacks Using Data Poisoning in the Frequency Domain.
CoRR
Chang Yue, Peizhuo Lv, Ruigang Liang, Kai Chen
2022 J jnl
SSL-WM: A Black-Box Watermarking Approach for Encoders Pre-trained by Self-supervised Learning.
CoRR
Peizhuo Lv, Pan Li, Shenchen Zhu, Shengzhi Zhang, Kai Chen, Ruigang Liang, Chang Yue, Fan Xiang, Yuling Cai, Hualong Ma, Yingjun Zhang, Guozhu Meng
2021 A* conf
Bookworm Game: Automatic Discovery of LTE Vulnerabilities Through Documentation Analysis.
SP
Yi Chen, Yepeng Yao, Xiaofeng Wang, Dandan Xu, Chang Yue, Xiaozhong Liu, Kai Chen, Haixu Tang, Baoxu Liu