Experience

  • AWS Privacy Engineering, Applied Scientist Intern, Amazon, May 2023 - April 2024

  • Privacy-Preserving Federated Learning, Research Intern, FedML, Oct. 2022 - Mar. 2023

  • Networking & Cybersecurity Division, Graduate Research Assistant, USC-ISI, Aug. 2020 - Now

  • Buyer Risk Prevention, Applied Scientist Intern, Amazon, May 2022 - Aug. 2022

  • Security Lab, Student Research Assistant, UVa, Oct. 2018 - May 2020

  • USSLAB, Student Research Assistant, ZJU, Oct. 2017 - June 2018

Recent Publications

More Publications

. FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System. NeurIPS 2023 Federated Learning Workshop, 2023.

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. FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks. Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.

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. Homomorphic-Encryption-Based Privacy-Preserving Federated TabNet Learning. AMLC, 2023.

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. Labeling without Seeing? Blind Annotation for Privacy-Preserving Entity Resolution. preprint, 2023.

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. FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs. preprint, 2023.

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. 𝑃3𝑉: Privacy-Preserving Path Validation System for Multi-Authority Sliced Networks. preprint, 2023.

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. Secure Publish-Process-Subscribe System for Dispersed Computing. In 41st International Symposium on Reliable Distributed Systems (SRDS), 2022.

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. Decentralized Privacy-Preserving Path Validation for Multi-Slicing-Authority 5G Networks. In IEEE Wireless Communications and Networking Conference (WCNC), 2022.

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. SMS Goes Nuclear: Fortifying SMS-Based MFA in Online Account Ecosystem. In Workshop on Data-Centric Dependability and Security (co-located with the IEEE/IFIP International Conference on Dependable Systems and Networks), 2021.

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. Evaluating the Dedicated Short-range Communication for Connected Vehicles against Network Security Attacks. In 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020.

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