| Speedy transactions in multicore in-memory databases S Tu, W Zheng, E Kohler, B Liskov, S Madden Proceedings of the Twenty-Fourth ACM Symposium on Operating Systems …, 2013 | 577 | 2013 |
| Delphi: A cryptographic inference system for neural networks P Mishra, R Lehmkuhl, A Srinivasan, W Zheng, RA Popa Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in …, 2020 | 565 | 2020 |
| Opaque: An oblivious and encrypted distributed analytics platform W Zheng, A Dave, JG Beekman, RA Popa, JE Gonzalez, I Stoica 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2017 | 499 | 2017 |
| Helen: Maliciously secure coopetitive learning for linear models W Zheng, RA Popa, JE Gonzalez, I Stoica 2019 IEEE symposium on security and privacy (SP), 724-738, 2019 | 193 | 2019 |
| Fast databases with fast durability and recovery through multicore parallelism W Zheng, S Tu, E Kohler, B Liskov 11th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2014 | 176 | 2014 |
| {SCL}: Simplifying Distributed {SDN} Control Planes A Panda, W Zheng, X Hu, A Krishnamurthy, S Shenker 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2017 | 171 | 2017 |
| {DIZK}: A distributed zero knowledge proof system H Wu, W Zheng, A Chiesa, RA Popa, I Stoica 27th USENIX Security Symposium (USENIX Security 18), 675-692, 2018 | 170 | 2018 |
| Cerebro: A platform for {Multi-Party} cryptographic collaborative learning W Zheng, R Deng, W Chen, RA Popa, A Panda, I Stoica 30th USENIX Security Symposium (USENIX Security 21), 2723-2740, 2021 | 81 | 2021 |
| Piano: extremely simple, single-server PIR with sublinear server computation M Zhou, A Park, W Zheng, E Shi 2024 IEEE Symposium on Security and Privacy (SP), 4296-4314, 2024 | 41 | 2024 |
| Bolt: Privacy-preserving, accurate and efficient inference for transformers Q Pang, J Zhu, H Möllering, W Zheng, T Schneider 2024 IEEE Symposium on Security and Privacy (SP), 4753-4771, 2024 | 38 | 2024 |
| Secure collaborative training and inference for xgboost A Law, C Leung, R Poddar, RA Popa, C Shi, O Sima, C Yu, X Zhang, ... Proceedings of the 2020 workshop on privacy-preserving machine learning in …, 2020 | 38 | 2020 |
| MiniCrypt: Reconciling encryption and compression for big data stores W Zheng, F Li, RA Popa, I Stoica, R Agarwal Proceedings of the Twelfth European Conference on Computer Systems, 191-204, 2017 | 25 | 2017 |
| Silph: A framework for scalable and accurate generation of hybrid MPC protocols E Chen, J Zhu, A Ozdemir, RS Wahby, F Brown, W Zheng 2023 IEEE Symposium on Security and Privacy (SP), 848-863, 2023 | 16 | 2023 |
| CostCO: An automatic cost modeling framework for secure multi-party computation V Fang, L Brown, W Lin, W Zheng, A Panda, RA Popa 2022 IEEE 7th European Symposium on Security and Privacy (EuroS&P), 140-153, 2022 | 16 | 2022 |
| Attacking llm watermarks by exploiting their strengths Q Pang, S Hu, W Zheng, V Smith ICLR 2024 Workshop on Secure and Trustworthy Large Language Models, 2024 | 11 | 2024 |
| ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems Q Pang, Y Yuan, S Wang, W Zheng arXiv preprint arXiv:2201.02775, 2022 | 8 | 2022 |
| No free lunch in llm watermarking: Trade-offs in watermarking design choices Q Pang, S Hu, W Zheng, V Smith The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 3 | 2024 |
| Delphi P Mishra, R Lehmkuhl, A Srinivasan, W Zheng, RA Popa Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in …, 2020 | 2 | 2020 |
| Fast checkpoint and recovery techniques for an in-memory database W Zheng Massachusetts Institute of Technology, 2014 | 2 | 2014 |
| Communication Bounds for the Distributed Experts Problem Z Jia, Q Pang, T Tran, D Woodruff, Z Zhang, W Zheng arXiv preprint arXiv:2501.03132, 2025 | | 2025 |
