Christopher A. Choquette-Choo
Christopher A. Choquette-Choo
Other namesChristopher Choquette-Choo, Christopher Choquette
Google DeepMind
Verified email at - Homepage
Cited by
Cited by
Machine unlearning
L Bourtoule, V Chandrasekaran, CA Choquette-Choo, H Jia, A Travers, ...
42nd IEEE Symposium on Security and Privacy, 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
Label-Only Membership Inference Attacks
CA Choquette-Choo, F Tramer, N Carlini, N Papernot
38th International Conference on Machine Learning, 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
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
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
Poisoning web-scale training datasets is practical
N Carlini, M Jagielski, CA Choquette-Choo, D Paleka, W Pearce, ...
arXiv preprint arXiv:2302.10149, 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
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
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
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
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
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
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
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
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
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
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
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
(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
The system can't perform the operation now. Try again later.
Articles 1–20