Recent improvements of ASR models in the face of adversarial attacks. (arXiv:2203.16536v1 [cs.CR])

Like many other tasks involving neural networks, Speech Recognition models
are vulnerable to adversarial attacks. However recent research has pointed out
differences between attacks and defenses on ASR models compared to image
models. Improving the robustness of ASR models requires a paradigm shift from
evaluating attacks on one or a few models to a systemic approach in evaluation.
We lay the ground for such research by evaluating on various architectures a
representative set of adversarial attacks: targeted and untargeted,
optimization …

adversarial asr attacks