Weizhao Jin

According to our database, Weizhao Jin authored at least 15 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Labeling without Seeing? Blind Annotation for Privacy-Preserving Entity Resolution.

Yixiang Yao, Weizhao Jin, Srivatsan Ravi

Trans. Mach. Learn. Res., 2025

Efficient Privacy-Preserving Network Path Validation.

Weizhao Jin, Erik Kline, T. K. Satish Kumar, Lincoln Thurlow, Srivatsan Ravi

Proceedings of the 34th International Conference on Computer Communications and Networks, 2025

2024

FedGraph: A Research Library and Benchmark for Federated Graph Learning.

Yuhang Yao, Yuan Li, Xinyi Fan, Junhao Li, Kay Liu, Weizhao Jin, Srivatsan Ravi, Philip S. Yu, Carlee Joe-Wong

CoRR, 2024

LLM Multi-Agent Systems: Challenges and Open Problems.

Shanshan Han, Qifan Zhang, Yuhang Yao, Weizhao Jin, Zhaozhuo Xu, Chaoyang He

CoRR, 2024

FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs.

Shanshan Han, Baturalp Buyukates, Zijian Hu, Han Jin, Weizhao Jin, Lichao Sun, Xiaoyang Wang, Wenxuan Wu, Chulin Xie, Yuhang Yao, Kai Zhang, Qifan Zhang, Yuhui Zhang, Carlee Joe-Wong, Salman Avestimehr, Chaoyang He

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

ð'ƒ3ð'‰ : 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

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, Salman Avestimehr, Chaoyang He

CoRR, 2023

FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs.

Shanshan Han, Baturalp Buyukates, Zijian Hu, Han Jin, Weizhao Jin, Lichao Sun, Xiaoyang Wang, Chulin Xie, Kai Zhang, Qifan Zhang, Yuhui Zhang, Chaoyang He, Salman Avestimehr

CoRR, 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

CoRR, 2023

FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks.

Yuhang Yao, Weizhao Jin, Srivatsan Ravi, Carlee Joe-Wong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Decentralized Privacy-Preserving Path Validation for Multi-Slicing-Authority 5G Networks.

Weizhao Jin, Srivatsan Ravi, Erik Kline

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Secure Publish-Process-Subscribe System for Dispersed Computing.

Weizhao Jin, Bhaskar Krishnamachari, Muhammad Naveed, Srivatsan Ravi, Eduard Sanou, Kwame-Lante Wright

Proceedings of the 41st International Symposium on Reliable Distributed Systems, 2022

2021

Towards Fortifying the Multi-Factor-Based Online Account Ecosystem.

Weizhao Jin, Xiaoyu Ji, Ruiwen He, Zhou Zhuang, Wenyuan Xu, Yuan Tian

CoRR, 2021

SMS Goes Nuclear: Fortifying SMS-Based MFA in Online Account Ecosystem.

Weizhao Jin, Xiaoyu Ji, Ruiwen He, Zhou Zhuang, Wenyuan Xu, Yuan Tian

Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2021

2020

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

Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020