Raphaël Olivier

According to our database, Raphaël Olivier authored at least 14 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

LoFT: Local Proxy Fine-tuning For Improving Transferability Of Adversarial Attacks Against Large Language Model.

Muhammad Ahmed Shah, Roshan Sharma, Hira Dhamyal, Raphaël Olivier, Ankit Shah, Joseph Konan, Dareen Alharthi, Hazim T. Bukhari, Massa Baali, Soham Deshmukh, Michael Kuhlmann, Bhiksha Raj, Rita Singh

CoRR, 2023

How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy.

Raphaël Olivier, Bhiksha Raj

Proceedings of the International Conference on Machine Learning, 2023

2022

There is more than one kind of robustness: Fooling Whisper with adversarial examples.

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

Not all broken defenses are equal: The dead angles of adversarial accuracy.

Raphaël Olivier, Bhiksha Raj

CoRR, 2022

Recent improvements of ASR models in the face of adversarial attacks.

Raphaël Olivier, Bhiksha Raj

Proceedings of the Interspeech 2022, 2022

2021

Towards Adversarial Robustness Via Compact Feature Representations.

Muhammad A. Shah, Raphaël Olivier, Bhiksha Raj

Proceedings of the IEEE International Conference on Acoustics, 2021

High-Frequency Adversarial Defense for Speech and Audio.

Raphaël Olivier, Bhiksha Raj, Muhammad Shah

Proceedings of the IEEE International Conference on Acoustics, 2021

Sequential Randomized Smoothing for Adversarially Robust Speech Recognition.

Raphaël Olivier, Bhiksha Raj

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Transfer Learning by Learning Projections from Target to Source.

Antoine Cornuéjols, Pierre-Alexandre Murena, Raphaël Olivier

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

Optimal Strategies For Comparing Covariates To Solve Matching Problems.

Muhammad A. Shah, Raphaël Olivier, Bhiksha Raj

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Exploiting Non-Linear Redundancy for Neural Model Compression.

Muhammad Ahmed Shah, Raphaël Olivier, Bhiksha Raj

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

In-training Matrix Factorization for Parameter-frugal Neural Machine Translation.

Zachary Kaden, Teven Le Scao, Raphaël Olivier

CoRR, 2019

2018

Retrieval-Based Neural Code Generation.

Shirley Anugrah Hayati, Raphaël Olivier, Pravalika Avvaru, Pengcheng Yin, Anthony Tomasic, Graham Neubig

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018