A Multimodal Text Matching Model for Obfuscated Language Identification in Adversarial Communication?-Reference-Cited by-同舟云学术

A Multimodal Text Matching Model for Obfuscated Language Identification in Adversarial Communication?

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:The World Wide Web Conference on - WWW '19
language:
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Author:

Huang Longtao¹,Ma Ting¹,Lin Junyu¹,Han Jizhong²,Hu Songlin¹

Affiliation:

1. Institute of Information Engineering, Chinese Academy of Sciences, China

2. Institute of Information Engineering, China

Publisher

ACM Press

Reference25 articles.

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2. Eytan Bakshy, Itamar Rosenn, Cameron Marlow, and Lada Adamic. 2012. The Role of Social Networks in Information Diffusion. In Proceedings of the 21st International Conference on World Wide Web(WWW'12). ACM, New York, NY, USA, 519-528. https://doi.org/10.1145/2187836.2187907

3. Danushka Bollegala, Taiki Honma, Yutaka Matsuo, and Mitsuru Ishizuka. 2008. Mining for personal name aliases on the web. In International Conference on World Wide Web. 1107-1108.

4. Danushka Bollegala, Yutaka Matsuo, and Mitsuru Ishizuka. 2011. Automatic Discovery of Personal Name Aliases from the Web. IEEE Transactions on Knowledge & Data Engineering23, 6(2011), 831-844.

5. Michael Brennan, Sadia Afroz, and Rachel Greenstadt. 2012. Adversarial stylometry:Circumventing authorship recognition to preserve privacy and anonymity. Acm Transactions on Information & System Security15, 3 (2012), 1-22.

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