Christophe Dupuy
Amazon (United States)(US)
Publications by Year
Research Areas
Privacy-Preserving Technologies in Data, Topic Modeling, Data Quality and Management, Bayesian Methods and Mixture Models, Complex Network Analysis Techniques
Most-Cited Works
- → FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks(2022)103 cited
- → Privacy in the Time of Language Models(2023)38 cited
- → An Efficient DP-SGD Mechanism for Large Scale NLU Models(2022)26 cited
- → Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning(2023)13 cited
- → Online but Accurate Inference for Latent Variable Models with Local\n Gibbs Sampling(2016)9 cited
- → FLIRT: Feedback Loop In-context Red Teaming(2024)8 cited
- → Learning Determinantal Point Processes in Sublinear Time(2016)7 cited
- → Quantifying Catastrophic Forgetting in Continual Federated Learning(2023)6 cited
- → Qualitative and Descriptive Topic Extraction from Movie Reviews Using LDA(2017)6 cited
- → Self-Attention Gazetteer Embeddings for Named-Entity Recognition(2020)4 cited