VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning X Guo, Z Liu, J Li, J Gao, B Hou, C Dong, T Baker IEEE Transactions on Information Forensics and Security 16, 1736-1751, 2020 | 192 | 2020 |
How to Make Private Distributed Cardinality Estimation Practical, and Get Differential Privacy for Free C Hu, J Li, Z Liu, X Guo, Y Wei, X Guang, G Loukides, C Dong USENIX Security 2021, 965-982, 2021 | 19 | 2021 |
Half-Tree: Halving the Cost of Tree Expansion in COT and DPF X Guo, K Yang, X Wang, W Zhang, X Xie, J Zhang, Z Liu EUROCRYPT 2023, 330-362, 2023 | 18 | 2023 |
Birds of a Feather Flock Together: How Set Bias Helps to Deanonymize You via Revealed Intersection Sizes X Guo, Y Han, Z Liu, D Wang, Y Jia, J Li USENIX Security 2022, 1487-1504, 2022 | 6 | 2022 |
Fixing Issues and Achieving Maliciously Secure Verifiable Aggregation in "VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning" X Guo Cryptology ePrint Archive, 2022 | 2 | 2022 |
Unmodified Half-Gates is Adaptively Secure - So is Unmodified Three-Halves X Guo, K Yang, X Wang, Y Yu, Z Liu Cryptology ePrint Archive, 2023 | 1 | 2023 |
Efficient Actively Secure DPF and RAM-based 2PC with One-Bit Leakage W Zhang, X Guo, K Yang, R Zhu, Y Yu, X Wang IEEE S&P 2024, 561-577, 2024 | | 2024 |