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Raphaël Olivier
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2020 – today
- 2024
- [i10]Francisco Teixeira, Karla Pizzi, Raphaël Olivier, Alberto Abad, Bhiksha Raj, Isabel Trancoso:
Improving Membership Inference in ASR Model Auditing with Perturbed Loss Features. CoRR abs/2405.01207 (2024) - 2023
- [c10]Raphaël Olivier, Bhiksha Raj:
How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy. ICML 2023: 26583-26598 - [c9]Raphaël Olivier, Bhiksha Raj:
There is more than one kind of robustness: Fooling Whisper with adversarial examples. INTERSPEECH 2023: 4394-4398 - [i9]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:
LoFT: Local Proxy Fine-tuning For Improving Transferability Of Adversarial Attacks Against Large Language Model. CoRR abs/2310.04445 (2023) - 2022
- [c8]Raphaël Olivier, Bhiksha Raj:
Recent improvements of ASR models in the face of adversarial attacks. INTERSPEECH 2022: 4113-4117 - [i8]Raphaël Olivier, Bhiksha Raj:
Recent improvements of ASR models in the face of adversarial attacks. CoRR abs/2203.16536 (2022) - [i7]Raphaël Olivier, Bhiksha Raj:
Not all broken defenses are equal: The dead angles of adversarial accuracy. CoRR abs/2207.04129 (2022) - [i6]Raphaël Olivier, Hadi Abdullah, Bhiksha Raj:
Watch What You Pretrain For: Targeted, Transferable Adversarial Examples on Self-Supervised Speech Recognition models. CoRR abs/2209.13523 (2022) - [i5]Raphaël Olivier, Bhiksha Raj:
There is more than one kind of robustness: Fooling Whisper with adversarial examples. CoRR abs/2210.17316 (2022) - 2021
- [c7]Raphaël Olivier, Bhiksha Raj:
Sequential Randomized Smoothing for Adversarially Robust Speech Recognition. EMNLP (1) 2021: 6372-6386 - [c6]Raphaël Olivier, Bhiksha Raj, Muhammad A. Shah:
High-Frequency Adversarial Defense for Speech and Audio. ICASSP 2021: 2995-2999 - [c5]Muhammad A. Shah, Raphaël Olivier, Bhiksha Raj:
Towards Adversarial Robustness Via Compact Feature Representations. ICASSP 2021: 3845-3849 - [i4]Raphaël Olivier, Bhiksha Raj:
Sequential Randomized Smoothing for Adversarially Robust Speech Recognition. CoRR abs/2112.03000 (2021) - 2020
- [c4]Muhammad Ahmed Shah, Raphaël Olivier, Bhiksha Raj:
Exploiting Non-Linear Redundancy for Neural Model Compression. ICPR 2020: 9928-9935 - [c3]Muhammad A. Shah, Raphaël Olivier, Bhiksha Raj:
Optimal Strategies For Comparing Covariates To Solve Matching Problems. ICPR 2020: 10622-10628 - [c2]Antoine Cornuéjols
, Pierre-Alexandre Murena
Transfer Learning by Learning Projections from Target to Source. IDA 2020: 119-131 - [i3]Muhammad Ahmed Shah, Raphaël Olivier, Bhiksha Raj:
Exploiting Non-Linear Redundancy for Neural Model Compression. CoRR abs/2005.14070 (2020)
2010 – 2019
- 2019
- [i2]Zachary Kaden, Teven Le Scao, Raphaël Olivier:
In-training Matrix Factorization for Parameter-frugal Neural Machine Translation. CoRR abs/1910.06393 (2019) - 2018
- [c1]Shirley Anugrah Hayati, Raphaël Olivier, Pravalika Avvaru, Pengcheng Yin, Anthony Tomasic, Graham Neubig:
Retrieval-Based Neural Code Generation. EMNLP 2018: 925-930 - [i1]Shirley Anugrah Hayati, Raphaël Olivier, Pravalika Avvaru, Pengcheng Yin, Anthony Tomasic, Graham Neubig:
Retrieval-Based Neural Code Generation. CoRR abs/1808.10025 (2018)
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