Retrieval-Based Neural Code Generation. - Shirley Anugrah Hayati; Raphaël Olivier; Pravalika Avvaru; Pengcheng Yin; Anthony Tomasic; Graham Neubig (EMNLP, 2018)

In-training Matrix Factorization for Parameter-frugal Neural Machine Translation. - Zachary Kaden; Teven Le Scao; Raphaël Olivier (CoRR, 2019)

Exploiting Non-Linear Redundancy for Neural Model Compression. - Muhammad Ahmed Shah; Raphaël Olivier; Bhiksha Raj (ICPR, 2020)

Optimal Strategies For Comparing Covariates To Solve Matching Problems. - Muhammad A. Shah; Raphaël Olivier; Bhiksha Raj (ICPR, 2020)

Transfer Learning by Learning Projections from Target to Source. - Antoine Cornuéjols; Pierre-Alexandre Murena; Raphaël Olivier (IDA, 2020)

Sequential Randomized Smoothing for Adversarially Robust Speech Recognition. - Raphaël Olivier; Bhiksha Raj (EMNLP (1), 2021)

High-Frequency Adversarial Defense for Speech and Audio. - Raphaël Olivier; Bhiksha Raj; Muhammad A. Shah (ICASSP, 2021)

Towards Adversarial Robustness Via Compact Feature Representations. - Muhammad A. Shah; Raphaël Olivier; Bhiksha Raj (ICASSP, 2021)

Recent improvements of ASR models in the face of adversarial attacks. - Raphaël Olivier; Bhiksha Raj (INTERSPEECH, 2022)

Not all broken defenses are equal: The dead angles of adversarial accuracy. - Raphaël Olivier; Bhiksha Raj (CoRR, 2022)

Watch What You Pretrain For: Targeted, Transferable Adversarial Examples on Self-Supervised Speech Recognition models. - Raphaël Olivier; Hadi Abdullah; Bhiksha Raj (CoRR, 2022)

How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy. - Raphaël Olivier; Bhiksha Raj (ICML, 2023)

There is more than one kind of robustness: Fooling Whisper with adversarial examples. - Raphaël Olivier; Bhiksha Raj (INTERSPEECH, 2023)

LoFT: Local Proxy Fine-tuning For Improving Transferability Of Adversarial Attacks Against Large Language Model. - Muhammad Ahmed Shah; Roshan Sharma 001; Hira Dhamyal; Raphaël Olivier; Ankit Shah 001; Joseph Konan; Dareen Alharthi; Hazim T. Bukhari; Massa Baali; Soham Deshmukh; Michael Kuhlmann; Bhiksha Raj; et al. (CoRR, 2023)

Assessing and enhancing adversarial robustness in context and applications to speech security - Raphaël Olivier (2023)

Improving Membership Inference in ASR Model Auditing with Perturbed Loss Features. - Francisco Teixeira; Karla Pizzi; Raphaël Olivier; Alberto Abad; Bhiksha Raj; Isabel Trancoso (CoRR, 2024)

Exploring features for membership inference in ASR model auditing. - Francisco Teixeira; Karla Pizzi; Raphaël Olivier; Alberto Abad; Bhiksha Raj; Isabel Trancoso (Comput. Speech Lang., 2026)