Adversarial Attacks on Speech Recognition Systems for Mission-Critical
Applications: A Survey

Adversarial Attacks on Speech Recognition Systems for Mission-Critical Applications: A Survey

22 February 2022

Ngoc Dung Huynh

Mohamed Reda Bouadjenek

Imran Razzak

Papers citing "Adversarial Attacks on Speech Recognition Systems for Mission-Critical Applications: A Survey"

5 / 5 papers shown

Title
Identifying Adversarially Attackable and Robust Samples Vyas Raina Mark J. F. Gales AAML 22 3 0 30 Jan 2023
A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness Tiantian Feng Rajat Hebbar Nicholas Mehlman Xuan Shi Aditya Kommineni and Shrikanth Narayanan 30 29 0 18 Dec 2022
Recent Advances in Adversarial Training for Adversarial Robustness Tao Bai Jinqi Luo Jun Zhao B. Wen Qian Wang AAML 71 467 0 02 Feb 2021
Study of Pre-processing Defenses against Adversarial Attacks on State-of-the-art Speaker Recognition Systems Sonal Joshi Jesús Villalba Piotr Żelasko Laureano Moro Velázquez Najim Dehak AAML 32 30 0 22 Jan 2021
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,102 0 04 Nov 2016