Generating traceable adversarial text examples by watermarking in the semantic space-Reference-Cited by-同舟云学术

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Generating traceable adversarial text examples by watermarking in the semantic space

Published:2022-11-26 Issue:06 Volume:31 Page:
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:
Short-container-title:J. Electron. Imag.

Author:

Li Mingjie¹,Wu Hanzhou¹,Zhang Xinpeng¹

Affiliation:

1. Shanghai University, School of Communication and Information Engineering, Shanghai, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Reference52 articles.

1. Explaining and harnessing adversarial examples;Goodfellow,2015

2. Deceiving Google’s perspective API built for detecting toxic comments;Hosseini,2017

3. Universal adversarial triggers for attacking and analyzing NLP;Wallace,2019

4. Generating natural language adversarial examples through probability weighted word saliency;Ren,2019

5. Combating adversarial misspellings with robust word recognition;Pruthi,2019

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