Christophe Dupuy

Orcid: 0000-0002-7403-329X

According to our database1, Christophe Dupuy authored at least 19 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
FLIRT: Feedback Loop In-context Red Teaming.
CoRR, 2023

Privacy in the Time of Language Models.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Quantifying Catastrophic Forgetting in Continual Federated Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

Coordinated Replay Sample Selection for Continual Federated Learning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022
Differentially Private Decoding in Large Language Models.
CoRR, 2022

FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Learnings from Federated Learning in The Real World.
Proceedings of the IEEE International Conference on Acoustics, 2022

An Efficient DP-SGD Mechanism for Large Scale NLU Models.
Proceedings of the IEEE International Conference on Acoustics, 2022

Canary Extraction in Natural Language Understanding Models.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
An Efficient DP-SGD Mechanism for Large Scale NLP Models.
CoRR, 2021

ADePT: Auto-encoder based Differentially Private Text Transformation.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020
Self-Attention Gazetteer Embeddings for Named-Entity Recognition.
CoRR, 2020

2018
Learning Determinantal Point Processes in Sublinear Time.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Inference and Applications for Topic Models. (Inférence et Applications pour les Modèles Thématiques).
PhD thesis, 2017

Online but Accurate Inference for Latent Variable Models with Local Gibbs Sampling.
J. Mach. Learn. Res., 2017

Qualitative and Descriptive Topic Extraction from Movie Reviews Using LDA.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2017

2016
Decentralized Topic Modelling with Latent Dirichlet Allocation.
CoRR, 2016

Exploiting Crowd Sourced Reviews to Explain Movie Recommendation.
Proceedings of the Networked Systems - 4th International Conference, 2016


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