Publications

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. 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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. Poster: Attack the Dedicated Short-Range Communication for Connected Vehicles. In 40th IEEE Symposium on Security and Privacy, 2019.

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