7 citations · 19 across the 9 of their papers we have counts for
5 papers · 1 filter
There is more than one kind of robustness: Fooling Whisper with adversarial examples
Raphael Olivier, Bhiksha Raj
Whisper is a recent Automatic Speech Recognition (ASR) model displaying impressive robustness to both out-of-distribution inputs and random noise. In this work, we show that this r…
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…
Recent improvements of ASR models in the face of adversarial attacks
Raphael Olivier, Bhiksha Raj
Like many other tasks involving neural networks, Speech Recognition models are vulnerable to adversarial attacks. However recent research has pointed out differences between attack…
Sequential Randomized Smoothing for Adversarially Robust Speech Recognition
Raphael Olivier, Bhiksha Raj
While Automatic Speech Recognition has been shown to be vulnerable to adversarial attacks, defenses against these attacks are still lagging. Existing, naive defenses can be partial…