[1] Peng Tang, Xiaoyu Zhu, et al. “FLAD: Byzantine-Robust Federated Learning Based on Gradient Feature Anomaly Detection,” in IEEE Transactions on Dependable and Secure Computing, 2025. (CCF-A)

[2] Peng Tang, Xin Li, Yuxing Chen, Weidong Qiu, Haochen Mei, Allison Holmes, Fenghua Li, and Shujun Li. “A Comprehensive Study on GDPR-Oriented Analysis of Privacy Policies: Taxonomy, Corpus and GDPR Concept Classifiers,” IEEE Transactions on Dependable and Secure Computing, 2026. (CCF-A)

[3] Guowei Ling, Peng Tang*, Jinyong Shan, Liyao Xiang, and Weidong Qiu. “Faster Than Ever: A New Lightweight Private Set Intersection and Its Variants,” Network and Distributed System Security (NDSS) Symposium 2026.(CCF-A)

[4] Guowei Ling, Peng Tang*, Fei Tang, Shifeng Sun, Jinyong Shan, Liyao Xiang, Weidong Qiu. “Privacy-Preserving Authorized Set Matching via Dishonest Majority Multiparty Computation, ” IEEE Transactions on Dependable and Secure Computing, 2025. (CCF-A)

[5] Ke Hu, Liyao Xiang, Peng Tang*, Weidong Qiu. “FedTopo: Topology-Informed Representation Alignment in Federated Learning under Non-IID Conditions,” Proceedings of the AAAI Conference on Artificial Intelligence 26 (AAAI 2026). (CCF-A)

[1] 上海市科技创新行动计划，场景驱动的联邦学习性能提升技术研究与验证，2024.10-2025.09，项目负责人

[2] 重点研发计划，面向数据可信确权与交易的安全保障技术，2023.12-2026.11，子课题负责人

IEEE PCDS 2024、2025，TPC