| 2026 | ACL | CheckMIABench: Firm Foundations For Membership Inference Attacks on Language Models. | Jeffrey George Wang, Jason Wang, Marvin Li, Seth Neel |
| 2025 | ICLR | Machine Unlearning via Simulated Oracle Matching. | Kristian Georgiev, Roy Rinberg, Sung Min Park, Shivam Garg, Andrew Ilyas, Aleksander Madry, Seth Neel |
| 2025 | ICLR | Machine Unlearning Fails to Remove Data Poisoning Attacks. | Martin Pawelczyk, Jimmy Z. Di, Yiwei Lu, Gautam Kamath, Ayush Sekhari, Seth Neel |
| 2024 | ICML | Feature Importance Disparities for Data Bias Investigations. | Peter W. Chang, Leor Fishman, Seth Neel |
| 2024 | ICML | In-Context Unlearning: Language Models as Few-Shot Unlearners. | Martin Pawelczyk, Seth Neel, Himabindu Lakkaraju |
| 2023 | AISTATS | On the Privacy Risks of Algorithmic Recourse. | Martin Pawelczyk, Himabindu Lakkaraju, Seth Neel |
| 2023 | EMNLP | MoPe: Model Perturbation based Privacy Attacks on Language Models. | Marvin Li, Jason Wang, Jeffrey G. Wang, Seth Neel |
| 2021 | ALT | Descent-to-Delete: Gradient-Based Methods for Machine Unlearning. | Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi |
| 2021 | STOC | A new analysis of differential privacy's generalization guarantees (invited paper). | Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Moshe Shenfeld |
| 2020 | ICML | Oracle Efficient Private Non-Convex Optimization. | Seth Neel, Aaron Roth, Giuseppe Vietri, Zhiwei Steven Wu |
| 2019 | FOCS | The Role of Interactivity in Local Differential Privacy. | Matthew Joseph, Jieming Mao, Seth Neel, Aaron Roth |
| 2019 | FOCS | How to Use Heuristics for Differential Privacy. | Seth Neel, Aaron Roth, Zhiwei Steven Wu |
| 2018 | AIES | Meritocratic Fairness for Infinite and Contextual Bandits. | Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel, Aaron Roth |
| 2018 | ICML | Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness. | Michael J. Kearns, Seth Neel, Aaron Roth, Zhiwei Steven Wu |
| 2018 | ICML | Mitigating Bias in Adaptive Data Gathering via Differential Privacy. | Seth Neel, Aaron Roth |