| Fednlp: Benchmarking federated learning methods for natural language processing tasks BY Lin, C He, Z Zeng, H Wang, Y Huang, C Dupuy, R Gupta, ... arXiv preprint arXiv:2104.08815, 2021 | 98 | 2021 |
| ADePT: Auto-encoder based differentially private text transformation S Krishna, R Gupta, C Dupuy arXiv preprint arXiv:2102.01502, 2021 | 44 | 2021 |
| An efficient dp-sgd mechanism for large scale nlu models C Dupuy, R Arava, R Gupta, A Rumshisky ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 40 | 2022 |
| Privacy in the time of language models C Peris, C Dupuy, J Majmudar, R Parikh, S Smaili, R Zemel, R Gupta Proceedings of the sixteenth ACM international conference on web search and …, 2023 | 33 | 2023 |
| Flirt: Feedback loop in-context red teaming N Mehrabi, P Goyal, C Dupuy, Q Hu, S Ghosh, R Zemel, KW Chang, ... arXiv preprint arXiv:2308.04265, 2023 | 28 | 2023 |
| Learning determinantal point processes in sublinear time C Dupuy, F Bach International Conference on Artificial Intelligence and Statistics, 244-257, 2018 | 28 | 2018 |
| Differentially private decoding in large language models J Majmudar, C Dupuy, C Peris, S Smaili, R Gupta, R Zemel arXiv preprint arXiv:2205.13621, 2022 | 27 | 2022 |
| Controlling the extraction of memorized data from large language models via prompt-tuning MS Ozdayi, C Peris, J FitzGerald, C Dupuy, J Majmudar, H Khan, R Parikh, ... arXiv preprint arXiv:2305.11759, 2023 | 17 | 2023 |
| Canary extraction in natural language understanding models R Parikh, C Dupuy, R Gupta arXiv preprint arXiv:2203.13920, 2022 | 16 | 2022 |
| Online but accurate inference for latent variable models with local gibbs sampling C Dupuy, F Bach Journal of Machine Learning Research 18 (126), 1-45, 2017 | 13 | 2017 |
| Learnings from federated learning in the real world C Dupuy, TG Roosta, L Long, C Chung, R Gupta, S Avestimehr ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 9 | 2022 |
| Self-attention gazetteer embeddings for named-entity recognition S Peshterliev, C Dupuy, I Kiss arXiv preprint arXiv:2004.04060, 2020 | 9 | 2020 |
| Qualitative and descriptive topic extraction from movie reviews using lda C Dupuy, F Bach, C Diot Machine Learning and Data Mining in Pattern Recognition: 13th International …, 2017 | 9 | 2017 |
| Quantifying catastrophic forgetting in continual federated learning C Dupuy, J Majmudar, J Wang, TG Roosta, R Gupta, C Chung, J Ding, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
| Decentralized topic modelling with latent Dirichlet allocation I Colin, C Dupuy arXiv preprint arXiv:1610.01417, 2016 | 2 | 2016 |
| Exploiting crowd sourced reviews to explain movie recommendation S El Aouad, C Dupuy, R Teixeira, F Bach, C Diot Networked Systems: 4th International Conference, NETYS 2016, Marrakech …, 2016 | 2 | 2016 |
| Coordinated replay sample selection for continual federated learning J Good, J Majmudar, C Dupuy, J Wang, C Peris, C Chung, R Zemel, ... arXiv preprint arXiv:2310.15054, 2023 | 1 | 2023 |
| Multi-device speech processing R Gupta, C Dupuy, JR Stolee, C Chung US Patent App. 18/420,937, 2024 | | 2024 |
| Multi-device speech processing R Gupta, C Dupuy, JR Stolee, C Chung US Patent 11,900,921, 2024 | | 2024 |
| Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning M Safa Ozdayi, C Peris, J FitzGerald, C Dupuy, J Majmudar, H Khan, ... arXiv e-prints, arXiv: 2305.11759, 2023 | | 2023 |
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