Inference attacks based on neural networks in social networks-Reference-Cited by-同舟云学术

Inference attacks based on neural networks in social networks

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the fifth ACM/IEEE Workshop on Hot Topics in Web Systems and Technologies - HotWeb '17
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Author:

Mei Bo¹,Xiao Yinhao¹,Li Hong²,Cheng Xiuzhen¹,Sun Yunchuan³

Affiliation:

1. The George Washington University

2. Institute of Information Engineering, Beijing, China

3. Beijing Normal University, Beijing, China

Publisher

ACM Press

Reference15 articles.

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2. P. Galán-García, J. G. d. l. Puerta, C. L. Gómez, I. Santos, and P. G. Bringas. Supervised machine learning for the detection of troll profiles in twitter social network: Application to a real case of cyberbullying.Logic Journal of the IGPL,24(1):42--53, 2016.

3. A. Khadangi and M. H. F. Zarandi. From type-2 fuzzy rate-based neural networks to social networks' behaviors. In2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE),pages 1970--1975, July 2016.

4. Y. Korkmaz. Developing password security system by using artificial neural networks in user log in systems. In2016 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT),pages 1--4, April 2016.

5. G. KÃştyuk and L. Buttyan. A machine learning based approach for predicting undisclosed attributes in social networks. In2012 IEEE International Conference on Pervasive Computing and Communications Workshops,pages 361--366, March 2012.

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