| 2025 | ICLR | Robust LLM safeguarding via refusal feature adversarial training. | Lei Yu, Virginie Do, Karen Hambardzumyan, Nicola Cancedda |
| 2023 | ICLR | Contextual bandits with concave rewards, and an application to fair ranking. | Virginie Do, Elvis Dohmatob, Matteo Pirotta, Alessandro Lazaric, Nicolas Usunier |
| 2023 | IJCAI | Online Certification of Preference-Based Fairness for Personalized Recommender Systems (Extended Abstract). | Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier |
| 2022 | AAAI | Online Certification of Preference-Based Fairness for Personalized Recommender Systems. | Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier |
| 2022 | IJCAI | Online Approval Committee Elections. | Virginie Do, Matthieu Hervouin, Jrme Lang, Piotr Skowron |
| 2022 | SIGIR | Optimizing Generalized Gini Indices for Fairness in Rankings. | Virginie Do, Nicolas Usunier |
| 2021 | ICCV | e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks. | Maxime Kayser, Oana-Maria Camburu, Leonard Salewski, Cornelius Emde, Virginie Do, Zeynep Akata, Thomas Lukasiewicz |
| 2021 | IJCAI | Online Selection of Diverse Committees. | Virginie Do, Jamal Atif, Jrme Lang, Nicolas Usunier |
| 2018 | SIGCSE | A Cross-Case Analysis of Instructional Strategies to Support Participation of K-8 Students with Disabilities in CS for All. | Meg J. Ray, Maya Israel, Chung Eun Lee, Virginie Do |