Weizhao Jin

Applied Scientist, AWS

Joined

February 2023

Names

Weizhao Jin (Preferred)

Emails

****@usc.edu (Confirmed)

****@amazon.com (Confirmed)

Personal Links

Career & Education History

Applied Scientist

AWS (amazon.com)

2025 – Present

PhD student

University of Southern California (usc.edu)

2020 – 2024

Advisors, Relations & Conflicts

PhD Advisor

Srivatsan Ravi

2020 – 2024

Expertise

Responsible AI

Present

Federated learning

2021 – Present

Homomorphic Encryption

2020 – Present

Publications

Kick Bad Guys Out! Conditionally Activated Anomaly Detection in Federated Learning with Zero-Knowledge Proof Verification
Shanshan Han, Wenxuan Wu, Baturalp Buyukates, Weizhao Jin, Qifan Zhang, Yuhang Yao, Salman Avestimehr, Chaoyang He
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
FedGraph: A Research Library and Benchmark for Federated Graph Learning
Yuhang Yao, Yuan Li, Xinyi Fan, Junhao Li, Kay Liu, Yu Yang, Weizhao Jin, Srivatsan Ravi, Philip S. Yu, Carlee Joe-Wong
- NPGML Poster
- Readers: Everyone
Labeling without Seeing? Blind Annotation for Privacy-Preserving Entity Resolution
Yixiang Yao, Weizhao Jin, Srivatsan Ravi
- Accepted by TMLR
- Readers: Everyone
Kick Bad Guys Out! Conditionally Activated Anomaly Detection in Federated Learning with Zero-Knowledge Proof Verification
Shanshan Han, Wenxuan Wu, Baturalp Buyukates, Weizhao Jin, Yuhang Yao, Qifan Zhang, Salman Avestimehr, Chaoyang He
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Efficient Privacy-Preserving Federated Learning With Selective Parameter Encryption
Weizhao Jin, Yuhang Yao, Shanshan Han, Jiajun Gu, Carlee Joe-Wong, Srivatsan Ravi, Salman Avestimehr, Chaoyang He
- Submitted to ICLR 2025
- Readers: Everyone
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
- FL@FM-NeurIPS’23 Poster
- Readers: Everyone
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
- Submitted to ICLR 2024
- Readers: Everyone
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, Salman Avestimehr, Chaoyang He
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks
Yuhang Yao, Weizhao Jin, Srivatsan Ravi, Carlee Joe-Wong
- NeurIPS 2023 poster
- Readers: Everyone
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
- Published: 01 Jan 2023, Last Modified: 12 May 2023
- CoRR 2023
- Readers: Everyone

View all 17 publications

Co-Authors

View all 42 co-authors