Push-Pull: Characterizing the Adversarial Robustness for Audio-Visual Active Speaker Detection-Reference-Cited by-同舟云学术

Push-Pull: Characterizing the Adversarial Robustness for Audio-Visual Active Speaker Detection

Published:2023-01-09 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Spoken Language Technology Workshop (SLT)
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Author:

Chen Xuanjun¹,Wu Haibin²,Meng Helen³,Lee Hung-yi²,Jang Jyh-Shing Roger¹

Affiliation:

1. National Taiwan University,Department. of Computer Science Information Engineering

2. Graduate Institute of Communication Engineering, National Taiwan University

3. The Chinese University of Hong Kong,Centre for Perceptual and Interactive Intelligence

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10022052/10022330/10022646.pdf?arnumber=10022646

Reference54 articles.

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3. Practical adversarial attacks against speaker recog-nition systems;li;Proceedings of the 21 st international work-shop on mobile computing systems and applications,2020

4. Adversarial Sample Detection for Speaker Verification by Neural Vocoders

5. Deepfool: a simple and accurate method to fool deep neural networks;moosavi-dezfooli;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2016

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