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Privacy-Preserving Data Publishing Based on Generative Adversarial Networks

 

Abstract: Generative Adversarial Networks (GANs) are widely applied to estimate a density function over an unknown data-generating distribution. A variety of GAN models have been proposed to improve the performance of data publication, data management, knowledge discovery, information fusion, etc. Besides the benefit, GAN also brings unique challenges to people, among which privacy issues are extremely urgent yet intractable concerns to be extensively investigated. In this talk, we will introduce three novel GAN models in cybersecurity domain, including Seed Free Graph De-anonymization, Privacy Graph Embedding Data Publication and Generative Adversarial Networks for Auto-Driving Vehicles. The results of extensive real-data experiments validate the superiority of our proposed models.

 

Bio: Dr. Zhipeng Cai received his PhD and MS degrees in the Department of Computing Science at University of Alberta, and BS degree from the Department of Computer Science and Engineering at Beijing Institute of Technology. Dr. Cai is currently an Associate Professor in the Department of Computer Science and the College of Business at Georgia State University. Dr. Cai’s research areas focus on Machine learning, Internet of Things, Privacy, and Big data. Dr. Cai is the recipient of an NSF CAREER Award. Dr. Cai's research has been supported by the National Science Foundation, the U.S. Department of State, and other academic and industrial sponsors. Dr. Cai has published more than 100 papers in top journals and conferences including more than 60 IEEE/ACM Transactions papers. His publications have been cited for more than 8700 times. Dr. Cai is the Associate Editor-in-Chief for Elsevier High-Confidence Computing Journal and serves as an editor for several prestigious journals including IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Vehicular Technology (TVT), IEEE Transactions on Wireless Communications (TWC), IEEE Internet of Things Journal, etc. Dr. Cai is a Steering Committee Co-Chair for the international conferences of WASA, IPCCC and COCOON. He has served as a General/Program Chair for many international conferences such as ICDCS, SocialCom, ISBRA, etc. Dr. Cai has graduated more than 10 PhD students, among whom 7 are tenure-track faculty members in US institutions and 2 are faculty members in Chinese universities.

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