Noise Flooding for Detecting Audio Adversarial Examples Against Automatic Speech Recognition

25 December 2018

Papers citing "Noise Flooding for Detecting Audio Adversarial Examples Against Automatic Speech Recognition"

9 / 9 papers shown

Title
DistriBlock: Identifying adversarial audio samples by leveraging characteristics of the output distribution Matías P. Pizarro D. Kolossa Asja Fischer AAML 43 1 0 26 May 2023
Leveraging Domain Features for Detecting Adversarial Attacks Against Deep Speech Recognition in Noise Christian Heider Nielsen Zheng-Hua Tan AAML 19 1 0 03 Nov 2022
Universal Fourier Attack for Time Series Elizabeth Coda B. Clymer Chance N. DeSmet Y. Watkins Michael Girard 28 1 0 02 Sep 2022
AdvEst: Adversarial Perturbation Estimation to Classify and Detect Adversarial Attacks against Speaker Identification Sonal Joshi Saurabh Kataria Jesus Villalba Najim Dehak AAML 38 7 0 08 Apr 2022
aaeCAPTCHA: The Design and Implementation of Audio Adversarial CAPTCHA Md. Imran Hossen X. Hei 31 4 0 05 Mar 2022
Adversarial Attacks on Speech Recognition Systems for Mission-Critical Applications: A Survey Ngoc Dung Huynh Mohamed Reda Bouadjenek Imran Razzak Kevin Lee Chetan Arora Ali Hassani A. Zaslavsky AAML 34 6 0 22 Feb 2022
SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition Systems Yuxuan Chen Jiangshan Zhang Xuejing Yuan Shengzhi Zhang Kai Chen Xiaofeng Wang Shanqing Guo AAML 39 15 0 19 Mar 2021
Adversarial Example Detection by Classification for Deep Speech Recognition Saeid Samizade Zheng-Hua Tan Chao Shen X. Guan AAML 18 35 0 22 Oct 2019
Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech Recognition Systems Lea Schonherr Thorsten Eisenhofer Steffen Zeiler Thorsten Holz D. Kolossa AAML 54 63 0 05 Aug 2019