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 | 563 | 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 | 521 | 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 | 483 | 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 | 185 | 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 | 172 | 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 | 168 | 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 | 159 | 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 | 74 | 2021 |
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 | 39 | 2020 |
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 | 31 | 2024 |
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 |
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 | 19 | 2024 |
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 | 15 | 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 | 14 | 2022 |
ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems Q Pang, Y Yuan, S Wang, W Zheng arXiv preprint arXiv:2201.02775, 2022 | 7 | 2022 |
Attacking LLM Watermarks by Exploiting Their Strengths Q Pang, S Hu, W Zheng, V Smith arXiv preprint arXiv:2402.16187, 2024 | 4 | 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-efficient, Fault Tolerant PIR over Erasure Coded Storage A Park, T Leong, F Maturana, W Zheng, KV Rashmi 2024 IEEE Symposium on Security and Privacy (SP), 4331-4347, 2024 | | 2024 |
Secure federated correlation test and entropy estimation Q Pang, L Wang, S Wang, W Zheng, D Song International Conference on Machine Learning, 26990-27010, 2023 | | 2023 |