| 2023 | ICML | How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy. | Raphal Olivier, Bhiksha Raj |
| 2023 | Interspeech | There is more than one kind of robustness: Fooling Whisper with adversarial examples. | Raphal Olivier, Bhiksha Raj |
| 2022 | Interspeech | Recent improvements of ASR models in the face of adversarial attacks. | Raphal Olivier, Bhiksha Raj |
| 2021 | EMNLP | Sequential Randomized Smoothing for Adversarially Robust Speech Recognition. | Raphal Olivier, Bhiksha Raj |
| 2021 | ICASSP | High-Frequency Adversarial Defense for Speech and Audio. | Raphal Olivier, Bhiksha Raj, Muhammad A. Shah |
| 2021 | ICASSP | Towards Adversarial Robustness Via Compact Feature Representations. | Muhammad A. Shah, Raphal Olivier, Bhiksha Raj |
| 2020 | ICPR | Exploiting Non-Linear Redundancy for Neural Model Compression. | Muhammad Ahmed Shah, Raphal Olivier, Bhiksha Raj |
| 2020 | ICPR | Optimal Strategies For Comparing Covariates To Solve Matching Problems. | Muhammad A. Shah, Raphal Olivier, Bhiksha Raj |
| 2020 | IDA | Transfer Learning by Learning Projections from Target to Source. | Antoine Cornujols, Pierre-Alexandre Murena, Raphal Olivier |
| 2018 | EMNLP | Retrieval-Based Neural Code Generation. | Shirley Anugrah Hayati, Raphal Olivier, Pravalika Avvaru, Pengcheng Yin, Anthony Tomasic, Graham Neubig |