| 2026 | AAAI | Rethinking Bias in Generative Data Augmentation for Medical AI: A Frequency Recalibration Method. | Chi Liu, Jincheng Liu, Congcong Zhu, Minghao Wang, Sheng Shen, Jia Gu, Tianqing Zhu, Wanlei Zhou |
| 2026 | ACISP | Retention-Consistent Concept Unlearning for Diffusion Models. | Laiqiao Qin, Tianqing Zhu, Linlin Wang, Wanlei Zhou |
| 2026 | ACISP | CSC: Turning the Adversary's Poison Against Itself. | Yuchen Shi, Xin Guo, Huajie Chen, Tianqing Zhu, Bo Liu, Wanlei Zhou |
| 2026 | ACL | Seeing No Evil: Blinding Large Vision-Language Models to Safety Instructions via Adversarial Attention Hijacking. | Jingru Li, Wei Ren, Tianqing Zhu |
| 2026 | NDSS | Unshaken by Weak Embedding: Robust Probabilistic Watermarking for Dataset Copyright Protection. | Shang Wang, Tianqing Zhu, Dayong Ye, Hua Ma, Bo Liu, Ming Ding, Shengfang Zhai, Yansong Gao |
| 2026 | SP | ARES: Scalable and Practical Gradient Inversion Attack in Federated Learning Through Activation Recovery. | Zirui Gong, Leo Yu Zhang, Yanjun Zhang, Viet Vo, Tianqing Zhu, Shirui Pan, Cong Wang |
| 2025 | ACISP | RAGLeak: Membership Inference Attacks on RAG-Based Large Language Models. | Kaiyue Feng, Guangsheng Zhang, Huan Tian, Heng Xu, Yanjun Zhang, Tianqing Zhu, Ming Ding, Bo Liu |
| 2025 | ACISP | Robust and Privacy-Preserving Dynamic Average Consensus with Individual Weight. | Yuanyuan Zhang, Yu Liu, Yahui Wang, Tianqing Zhu, Mingwu Zhang |
| 2025 | AsiaCCS | BRC20 Snipping Attack. | Minfeng Qi, Qin Wang, Ningran Li, Shiping Chen, Tianqing Zhu |
| 2025 | ICCV | 3DRealCar: An In-the-Wild RGB-D Car Dataset with 360-Degree Views. | Xiaobiao Du, Yida Wang, Haiyang Sun, Zhuojie Wu, Hongwei Sheng, Shuyun Wang, Jiaying Ying, Ming Lu, Tianqing Zhu, Kun Zhan, Xin Yu |
| 2025 | IJCAI | Zero-Shot Machine Unlearning with Proxy Adversarial Data Generation. | Huiqiang Chen, Tianqing Zhu, Xin Yu, Wanlei Zhou |
| 2025 | KSEM | MOAT: A Multi-objective Approach to Federated IoT Botnet Detection. | Yangzong Zhang, Wenjian Liu, Bin Shi, Tianqing Zhu |
| 2025 | NDSS | Reinforcement Unlearning. | Dayong Ye, Tianqing Zhu, Congcong Zhu, Derui Wang, Kun Gao, Zewei Shi, Sheng Shen, Wanlei Zhou, Minhui Xue |
| 2025 | NSS | Feature Machine Unlearning in Diffusion Models. | Linlin Wang, Tianqing Zhu, Laiqiao Qin, Lihua Yin, Wanlei Zhou |
| 2025 | PAKDD | MarkErase: Defeating Entangled Watermarks in Model Extraction Attacks. | Teng Fei, Xinjing Liu, Yanjun Zhang, Haizhuan Yuan, Tianqing Zhu, Leo Yu Zhang |
| 2025 | PAKDD | Causal Discovery with Inverted Self-attention for Multivariate Time Series. | Yusen Liu, Yong Wang, Yifan Yin, Tianqing Zhu, Xiufeng Liu, Huan Huo |
| 2025 | WWW | MDAM | Qingzheng Xu, Heming Du, Szymon Lukasik, Tianqing Zhu, Sen Wang, Xin Yu |
| 2025 | SP | Codebreaker: Dynamic Extraction Attacks on Code Language Models. | Changzhou Han, Zehang Deng, Wanlun Ma, Xiaogang Zhu, Minhui Xue, Tianqing Zhu, Sheng Wen, Yang Xiang |
| 2024 | IJCAI | Machine Unlearning via Null Space Calibration. | Huiqiang Chen, Tianqing Zhu, Xin Yu, Wanlei Zhou |
| 2024 | IJCAI | When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference Attacks. | Huan Tian, Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou |
| 2024 | ISPEC | Enhancing Portability in Deep Learning-Based Side-Channel Attacks Against Kyber. | Peng Chen, Chi Cheng, Jinnuo Li, Tianqing Zhu |
| 2023 | AINA | Protect Trajectory Privacy in Food Delivery with Differential Privacy and Multi-agent Reinforcement Learning. | Suleiman Abahussein, Tianqing Zhu, Dayong Ye, Zishuo Cheng, Wanlei Zhou |
| 2023 | IJCAI | Towards Robust Gan-Generated Image Detection: A Multi-View Completion Representation. | Chi Liu, Tianqing Zhu, Sheng Shen, Wanlei Zhou |
| 2023 | WACV | TI | Baoping Liu, Bo Liu, Ming Ding, Tianqing Zhu, Xin Yu |
| 2023 | WACV | Proactive Deepfake Defence via Identity Watermarking. | Yuan Zhao, Bo Liu, Ming Ding, Baoping Liu, Tianqing Zhu, Xin Yu |
| 2021 | EUC | A Blockchain-based Fast Authentication and Collaborative Video Data Forwarding Scheme for Vehicular Networks. | Weihui Qiu, Xin Yang, Ming Wei, Wei Ren, Tianqing Zhu |
| 2020 | APSEC | An Empirical Study of Code Deobfuscations on Detecting Obfuscated Android Piggybacked Apps. | Yanxin Zhang, Guanping Xiao, Zheng Zheng, Tianqing Zhu, Ivor W. Tsang, Yulei Sui |
| 2020 | ISPA | A Fast Robustness Quantification Method for Evaluating Typical Deep Learning Models by Generally Image Processing. | Haocong Li, Yunjia Cheng, Wei Ren, Tianqing Zhu |
| 2020 | NSS | The Impact of Differential Privacy on Model Fairness in Federated Learning. | Xiuting Gu, Tianqing Zhu, Jie Li, Tao Zhang, Wei Ren |
| 2020 | NSS | Privacy and Utility Trade-Off for Textual Analysis via Calibrated Multivariate Perturbations. | Jingye Tang, Tianqing Zhu, Ping Xiong, Yu Wang, Wei Ren |
| 2020 | NSS | Model Poisoning Defense on Federated Learning: A Validation Based Approach. | Yuao Wang, Tianqing Zhu, Wenhan Chang, Sheng Shen, Wei Ren |
| 2020 | TrustCom | SCScan: A SVM-based Scanning System for Vulnerabilities in Blockchain Smart Contracts. | Xiaohan Hao, Wei Ren, Wenwen Zheng, Tianqing Zhu |
| 2020 | TrustCom | Improving Laplace Mechanism of Differential Privacy by Personalized Sampling. | Wen Huang, Shijie Zhou, Tianqing Zhu, Yongjian Liao, Chunjiang Wu, Shilin Qiu |
| 2019 | DASFAA | Detecting Suicidal Ideation with Data Protection in Online Communities. | Shaoxiong Ji, Guodong Long, Shirui Pan, Tianqing Zhu, Jing Jiang, Sen Wang |
| 2019 | GLOBECOM | Protecting Privacy-Sensitive Locations in Trajectories with Correlated Positions. | Bo Liu, Tianqing Zhu, Wanlei Zhou, Kun Wang, Haibo Zhou, Ming Ding |
| 2019 | ICA3PP | Simultaneously Advising via Differential Privacy in Cloud Servers Environment. | Sheng Shen, Tianqing Zhu, Dayong Ye, Mengmeng Yang, Tingting Liao, Wanlei Zhou |
| 2019 | ICA3PP | Differential Privacy Preservation for Smart Meter Systems. | Junfang Wu, Weizhong Qiang, Tianqing Zhu, Hai Jin, Peng Xu, Sheng Shen |
| 2019 | ICDCS | Applying Differential Privacy Mechanism in Artificial Intelligence. | Tianqing Zhu, Philip S. Yu |
| 2018 | GLOBECOM | Using Adversarial Noises to Protect Privacy in Deep Learning Era. | Bo Liu, Ming Ding, Tianqing Zhu, Yong Xiang, Wanlei Zhou |
| 2018 | ICA3PP | MoSa: A Modeling and Sentiment Analysis System for Mobile Application Big Data. | Yaocheng Zhang, Wei Ren, Tianqing Zhu, Wei Bi |
| 2018 | PAKDD | A Differentially Private Method for Crowdsourcing Data Submission. | Lefeng Zhang, Ping Xiong, Tianqing Zhu |
| 2017 | GPC | Personalized Privacy Preserving Collaborative Filtering. | Mengmeng Yang, Tianqing Zhu, Yang Xiang, Wanlei Zhou |
| 2017 | TrustCom | CloudController: A Writable and Heterogeneous-Adaptive Virtual Machine Introspection for Cloud Management. | Weizhong Qiang, Gongping Xu, Guozhong Sun, Tianqing Zhu, Hai Jin |
| 2017 | TrustCom | Privacy Preserving Collaborative Filtering via the Johnson-Lindenstrauss Transform. | Mengmeng Yang, Tianqing Zhu, Lichuan Ma, Yang Xiang, Wanlei Zhou |
| 2014 | PAKDD | Deferentially Private Tagging Recommendation Based on Topic Model. | Tianqing Zhu, Gang Li, Wanlei Zhou, Ping Xiong, Cao Yuan |
| 2014 | PRICAI | Privacy Preserving in Location Data Release: A Differential Privacy Approach. | Ping Xiong, Tianqing Zhu, Lei Pan, Wenjia Niu, Gang Li |
| 2013 | PAKDD | Dynamic User Behavior-Based Piracy Propagation Monitoring in Wireless Peer-to-Peer Networks. | Benke Qu, Wenjia Niu, Tianqing Zhu, Lei Wu, Shijun Liu, Na Wang |
| 2013 | PAKDD | Top-N Recommendations by Learning User Preference Dynamics. | Yongli Ren, Tianqing Zhu, Gang Li, Wanlei Zhou |
| 2013 | TrustCom | An Effective Deferentially Private Data Releasing Algorithm for Decision Tree. | Tianqing Zhu, Ping Xiong, Yang Xiang, Wanlei Zhou |
| 2012 | TrustCom | AMDD: Exploring Entropy Based Anonymous Multi-dimensional Data Detection for Network Optimization in Human Associated DTNs. | Longxiang Gao, Ming Li, Tianqing Zhu, Alessio Bonti, Wanlei Zhou, Shui Yu |
| 2006 | APSCC | Suspicious Financial Transaction Detection Based on Empirical Mode Decomposition Method. | Tianqing Zhu |
| 2006 | APSCC | An Outlier Detection Model Based on Cross Datasets Comparison for Financial Surveillance. | Tianqing Zhu |