Conferences
8 results
| 2025 | |
| [8] | Position: LLM Unlearning Benchmarks are Weak Measures of Progress In 2025 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2025. |
| 2024 | |
| [7] | On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift In Neural Information Processing Systems (NeurIPS), 2024. |
| 2023 | |
| [6] | Congestion Control Safety via Comparative Statics In IEEE INFOCOM, 2023. |
| [5] | On Noisy Evaluation in Federated Hyperparameter Tuning In Machine Learning and Systems (MLSys), 2023. |
| 2021 | |
| [4] | Clamor: Extending Functional Cluster Computing Frameworks with Fine-Grained Remote Memory Access In SoCC, 2021. |
| 2018 | |
| [3] | Evaluating End-to-End Optimization for Data Analytics in Weld In VLDB, 2018. |
| 2014 | |
| [2] | An Experimental Study of the Learnability of Congestion Control In ACM SIGCOMM, 2014. |
| 2012 | |
| [1] | Toward Information-Theoretic Human-Robot Dialog In Robotics: Science and Systems, 2012. |
Workshops
6 results
| 2025 | |
| [6] | Lower Bounds for Public-Private Computation under Distribution Shift In Workshop on Theory and Practice of Differential Privacy, 2025. |
| [5] | Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference In Workshop on Theory and Practice of Differential Privacy, 2025. |
| [4] | Generate-then-Verify: Reconstructing Data from Limited Published Statistics In Workshop on Theory and Practice of Differential Privacy, 2025. |
| 2021 | |
| [3] | Don't Hate the Player, Hate the Game: Safety and Utility in Multi-Agent Congestion Control In ACM Workshop on Hot Topics in Networking (HotNets), 2021. |
| 2020 | |
| [2] | Overlook: Differentially Private Exploratory Visualization for Big Data In Workshop on Theory and Practice of Differential Privacy, 2020. |
| 2017 | |
| [1] | Semantics-Aware Program Sampling In NIPS Workshop on Discrete Structures in Machine Learning, 2017. |
Journals
4 results