| Machine unlearning L Bourtoule, V Chandrasekaran, CA Choquette-Choo, H Jia, A Travers, ... 42nd IEEE Symposium on Security and Privacy, 2021 | 368 | 2021 |
| Palm 2 technical report R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ... arXiv preprint arXiv:2305.10403, 2023 | 342* | 2023 |
| Label-Only Membership Inference Attacks CA Choquette-Choo, F Tramer, N Carlini, N Papernot 38th International Conference on Machine Learning, 2021 | 322 | 2021 |
| Entangled watermarks as a defense against model extraction H Jia, CA Choquette-Choo, V Chandrasekaran, N Papernot 30th USENIX Security Symposium (USENIX Security 21), 1937-1954, 2021 | 176 | 2021 |
| Proof-of-Learning: Definitions and Practice H Jia, M Yaghini, CA Choquette-Choo, N Dullerud, A Thudi, ... 42nd IEEE Symposium on Security and Privacy, 2021 | 60 | 2021 |
| CaPC Learning: Confidential and Private Collaborative Learning CA Choquette-Choo, N Dullerud, A Dziedzic, Y Zhang, S Jha, N Papernot, ... 9th International Conference on Learning Representations, 2021 | 46 | 2021 |
| Poisoning web-scale training datasets is practical N Carlini, M Jagielski, CA Choquette-Choo, D Paleka, W Pearce, ... arXiv preprint arXiv:2302.10149, 2023 | 41 | 2023 |
| Are aligned neural networks adversarially aligned? N Carlini, M Nasr, CA Choquette-Choo, M Jagielski, I Gao, A Awadalla, ... arXiv preprint arXiv:2306.15447, 2023 | 39 | 2023 |
| The fundamental price of secure aggregation in differentially private federated learning WN Chen, CAC Choo, P Kairouz, AT Suresh International Conference on Machine Learning, 3056-3089, 2022 | 38 | 2022 |
| Preventing Generation of Verbatim Memorization in Language Models Gives a False Sense of Privacy D Ippolito, F Tramèr, M Nasr, C Zhang, M Jagielski, K Lee, CC Choo, ... Proceedings of the 16th International Natural Language Generation Conference …, 2023 | 30* | 2023 |
| A Multi-label, Dual-Output Deep Neural Network for Automated Bug Triaging CA Choquette-Choo, D Sheldon, J Proppe, J Alphonso-Gibbs, H Gupta 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 18 | 2019 |
| Federated Learning of Gboard Language Models with Differential Privacy Z Xu, Y Zhang, G Andrew, CA Choquette-Choo, P Kairouz, HB McMahan, ... arXiv preprint arXiv:2305.18465, 2023 | 17 | 2023 |
| Multi-epoch matrix factorization mechanisms for private machine learning CA Choquette-Choo, HB McMahan, K Rush, A Thakurta 40th International Conference on Machine Learning 202, 5924-5963, 2023 | 14* | 2023 |
| Communication efficient federated learning with secure aggregation and differential privacy WN Chen, CA Choquette-Choo, P Kairouz NeurIPS 2021 Workshop Privacy in Machine Learning, 2021 | 9 | 2021 |
| Proof-of-learning is currently more broken than you think C Fang, H Jia, A Thudi, M Yaghini, CA Choquette-Choo, N Dullerud, ... 2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P), 797-816, 2023 | 8* | 2023 |
| Machine unlearning B Lucas, C Varun, A Choquette-Choo Christopher, J Hengrui, T Adelin, ... Proceedings of the 2021 IEEE Symposium on Security and Privacy (SP’21), 141-159, 2021 | 8* | 2021 |
| Fine-tuning with differential privacy necessitates an additional hyperparameter search Y Cattan, CA Choquette-Choo, N Papernot, A Thakurta arXiv preprint arXiv:2210.02156, 2022 | 6 | 2022 |
| Madlad-400: A multilingual and document-level large audited dataset S Kudugunta, I Caswell, B Zhang, X Garcia, CA Choquette-Choo, K Lee, ... arXiv preprint arXiv:2309.04662, 2023 | 5 | 2023 |
| Students Parrot Their Teachers: Membership Inference on Model Distillation M Jagielski, M Nasr, C Choquette-Choo, K Lee, N Carlini arXiv preprint arXiv:2303.03446, 2023 | 4 | 2023 |
| (Amplified) Banded Matrix Factorization: A unified approach to private training CA Choquette-Choo, A Ganesh, R McKenna, HB McMahan, K Rush, ... arXiv preprint arXiv:2306.08153, 2023 | 3 | 2023 |
Nicolas PapernotUniversity of Toronto and Vector InstituteVerified email at utoronto.ca
