Evaluating the Dedicated Short-range Communication for Connected Vehicles against Network Security Attacks. - Tu Le; Ingy Elsayed-Aly; Weizhao Jin; Seunghan Ryu; Guy Verrier; Tamjid Al Rahat; B. Brian Park; Yuan Tian 001 (VEHITS, 2020)

SMS Goes Nuclear: Fortifying SMS-Based MFA in Online Account Ecosystem. - Weizhao Jin; Xiaoyu Ji 001; Ruiwen He; Zhou Zhuang; Wenyuan Xu 001; Yuan Tian 001 (DSN Workshops, 2021)

Towards Fortifying the Multi-Factor-Based Online Account Ecosystem. - Weizhao Jin; Xiaoyu Ji 001; Ruiwen He; Zhou Zhuang; Wenyuan Xu 001; Yuan Tian 001 (CoRR, 2021)

Secure Publish-Process-Subscribe System for Dispersed Computing. - Weizhao Jin; Bhaskar Krishnamachari; Muhammad Naveed 001; Srivatsan Ravi; Eduard Sanou; Kwame-Lante Wright (IACR Cryptol. ePrint Arch., 2021)

Decentralized Privacy-Preserving Path Validation for Multi-Slicing-Authority 5G Networks. - Weizhao Jin; Srivatsan Ravi; Erik Kline (WCNC, 2022)

FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks. - Yuhang Yao; Weizhao Jin; Srivatsan Ravi; Carlee Joe-Wong (NeurIPS, 2023)

FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System. - Weizhao Jin; Yuhang Yao; Shanshan Han; Carlee Joe-Wong; Srivatsan Ravi; Salman Avestimehr; Chaoyang He 001 (CoRR, 2023)

FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs. - Shanshan Han; Baturalp Buyukates; Zijian Hu 001; Han Jin; Weizhao Jin; Lichao Sun 001; Xiaoyang Wang; Chulin Xie; Kai Zhang 039; Qifan Zhang 002; Yuhui Zhang; Chaoyang He 001; et al. (CoRR, 2023)

Kick Bad Guys Out! Zero-Knowledge-Proof-Based Anomaly Detection in Federated Learning. - Shanshan Han; Wenxuan Wu; Baturalp Buyukates; Weizhao Jin; Yuhang Yao; Qifan Zhang 002; Salman Avestimehr; Chaoyang He 001 (CoRR, 2023)

ð'3ð' : Privacy-Preserving Path Validation System for Multi-Authority Sliced Networks. - Weizhao Jin; Erik Kline; T. K. Satish Kumar; Lincoln Thurlow; Srivatsan Ravi (IACR Cryptol. ePrint Arch., 2023)

FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs. - Shanshan Han; Baturalp Buyukates; Zijian Hu 001; Han Jin; Weizhao Jin; Lichao Sun 001; Xiaoyang Wang; Wenxuan Wu; Chulin Xie; Yuhang Yao; Kai Zhang 039; Qifan Zhang 002; et al. (KDD, 2024)

LLM Multi-Agent Systems: Challenges and Open Problems. - Shanshan Han; Qifan Zhang 002; Yuhang Yao; Weizhao Jin; Zhaozhuo Xu; Chaoyang He 001 (CoRR, 2024)

FedGraph: A Research Library and Benchmark for Federated Graph Learning. - Yuhang Yao; Yuan Li 032; Xinyi Fan; Junhao Li; Kay Liu; Weizhao Jin; Srivatsan Ravi; Philip S. Yu; Carlee Joe-Wong (CoRR, 2024)

Labeling without Seeing? Blind Annotation for Privacy-Preserving Entity Resolution. - Yixiang Yao; Weizhao Jin; Srivatsan Ravi (Trans. Mach. Learn. Res., 2025)