7 citations · 19 across the 9 of their papers we have counts for
4 papers · 1 filter
Improving Membership Inference in ASR Model Auditing with Perturbed Loss Features
Francisco Teixeira, Karla Pizzi, Raphael Olivier +3
Membership Inference (MI) poses a substantial privacy threat to the training data of Automatic Speech Recognition (ASR) systems, while also offering an opportunity to audit these m…
Watch What You Pretrain For: Targeted, Transferable Adversarial Examples on Self-Supervised Speech Recognition models
Raphael Olivier, Hadi Abdullah, Bhiksha Raj
A targeted adversarial attack produces audio samples that can force an Automatic Speech Recognition (ASR) system to output attacker-chosen text. To exploit ASR models in real-world…
How many perturbations break this model? Evaluating robustness beyond adversarial accuracy
Raphael Olivier, Bhiksha Raj
Robustness to adversarial attacks is typically evaluated with adversarial accuracy. While essential, this metric does not capture all aspects of robustness and in particular leaves…
Exploiting Non-Linear Redundancy for Neural Model Compression
Muhammad A. Shah, Raphael Olivier, Bhiksha Raj
Deploying deep learning models, comprising of non-linear combination of millions, even billions, of parameters is challenging given the memory, power and compute constraints of the…