Exploiting Crowd Sourced Reviews to Explain Movie Recommendation. - Sara El Aouad; Christophe Dupuy; Renata Teixeira; Francis R. Bach; Christophe Diot (NETYS, 2016)

Decentralized Topic Modelling with Latent Dirichlet Allocation. - Igor Colin; Christophe Dupuy (CoRR, 2016)

Qualitative and Descriptive Topic Extraction from Movie Reviews Using LDA. - Christophe Dupuy; Francis R. Bach; Christophe Diot (MLDM, 2017)

Online but Accurate Inference for Latent Variable Models with Local Gibbs Sampling. - Christophe Dupuy; Francis R. Bach (J. Mach. Learn. Res., 2017)

Inference and Applications for Topic Models. (Inférence et Applications pour les Modèles Thématiques). - Christophe Dupuy (2017)

Learning Determinantal Point Processes in Sublinear Time. - Christophe Dupuy; Francis R. Bach (AISTATS, 2018)

Self-Attention Gazetteer Embeddings for Named-Entity Recognition. - Stanislav Peshterliev; Christophe Dupuy; Imre Kiss (CoRR, 2020)

ADePT: Auto-encoder based Differentially Private Text Transformation. - Satyapriya Krishna; Rahul Gupta 001; Christophe Dupuy (EACL, 2021)

An Efficient DP-SGD Mechanism for Large Scale NLP Models. - Christophe Dupuy; Radhika Arava; Rahul Gupta 001; Anna Rumshisky (CoRR, 2021)

Canary Extraction in Natural Language Understanding Models. - Rahil Parikh; Christophe Dupuy; Rahul Gupta 001 (ACL (2), 2022)

An Efficient DP-SGD Mechanism for Large Scale NLU Models. - Christophe Dupuy; Radhika Arava; Rahul Gupta 001; Anna Rumshisky (ICASSP, 2022)

Learnings from Federated Learning in The Real World. - Christophe Dupuy; Tanya G. Roosta; Leo Long; Clement Chung; Rahul Gupta 001; Salman Avestimehr (ICASSP, 2022)

FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks. - Bill Yuchen Lin; Chaoyang He 001; Zihang Ze; Hulin Wang; Yufen Hua; Christophe Dupuy; Rahul Gupta 001; Mahdi Soltanolkotabi; Xiang Ren 001; Salman Avestimehr (NAACL-HLT (Findings), 2022)

Differentially Private Decoding in Large Language Models. - Jimit Majmudar; Christophe Dupuy; Charith Peris; Sami Smaili; Rahul Gupta 001; Richard S. Zemel (CoRR, 2022)

Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning. - Mustafa Özdayi; Charith Peris; Jack FitzGerald; Christophe Dupuy; Jimit Majmudar; Haidar Khan; Rahil Parikh; Rahul Gupta 001 (ACL (2), 2023)

Coordinated Replay Sample Selection for Continual Federated Learning. - Jack Good; Jimit Majmudar; Christophe Dupuy; Jixuan Wang; Charith Peris; Clement Chung; Richard S. Zemel; Rahul Gupta 001 (EMNLP (Industry Track), 2023)

Quantifying Catastrophic Forgetting in Continual Federated Learning. - Christophe Dupuy; Jimit Majmudar; Jixuan Wang; Tanya G. Roosta; Rahul Gupta 001; Clement Chung; Jie Ding 002; Salman Avestimehr (ICASSP, 2023)

Privacy in the Time of Language Models. - Charith Peris; Christophe Dupuy; Jimit Majmudar; Rahil Parikh; Sami Smaili; Richard S. Zemel; Rahul Gupta 001 (WSDM, 2023)

FLIRT: Feedback Loop In-context Red Teaming. - Ninareh Mehrabi; Palash Goyal; Christophe Dupuy; Qian Hu; Shalini Ghosh; Richard S. Zemel; Kai-Wei Chang; Aram Galstyan; Rahul Gupta 001 (EMNLP, 2024)

Multi-lingual Multi-turn Automated Red Teaming for LLMs. - Abhishek Singhania; Christophe Dupuy; Shivam Mangale; Amani Namboori (CoRR, 2025)