Robust Audio Adversarial Example for a Physical Attack

10/28/2018
by   Hiromu Yakura, et al.
0

The success of deep learning in recent years has raised concerns about adversarial examples, which allow attackers to force deep neural networks to output a specified target. Although a method by which to generate audio adversarial examples targeting a state-of-the-art speech recognition model has been proposed, this method cannot fool the model in the case of playing over the air, and thus, the threat was considered to be limited. In this paper, we propose a method to generate adversarial examples that can attack even when playing over the air in the physical world by simulating transformation caused by playback or recording and incorporating them in the generation process. Evaluation and a listening experiment demonstrated that audio adversarial examples generated by the proposed method may become a real threat.

READ FULL TEXT

page 1

page 2

page 3

page 4

page 5

research
12/13/2021

Detecting Audio Adversarial Examples with Logit Noising

Automatic speech recognition (ASR) systems are vulnerable to audio adver...
research
01/26/2019

Adversarial attack on Speech-to-Text Recognition Models

Recent studies have highlighted audio adversarial examples as a ubiquito...
research
10/27/2022

Isometric 3D Adversarial Examples in the Physical World

3D deep learning models are shown to be as vulnerable to adversarial exa...
research
01/26/2019

Towards Weighted-Sampling Audio Adversarial Example Attack

Recent studies have highlighted audio adversarial examples as a ubiquito...
research
10/14/2020

Towards Resistant Audio Adversarial Examples

Adversarial examples tremendously threaten the availability and integrit...
research
11/09/2017

Crafting Adversarial Examples For Speech Paralinguistics Applications

Computational paralinguistic analysis is increasingly being used in a wi...
research
11/02/2022

LMD: A Learnable Mask Network to Detect Adversarial Examples for Speaker Verification

Although the security of automatic speaker verification (ASV) is serious...

Please sign up or login with your details

Forgot password? Click here to reset