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Accepted Papers


  • Efficient Privacy-Preserving Outsourcing of Large-Scale Geometric Programming Wei Bao, Qinghua Li*, University of Arkansas
  • Privacy, Polarization, and Passage of Divisive Laws Benjamin Johnson*, Technical University of Munich; Paul Laskowski, UC Berkeley School of Information
  • Informational Privacy, A Right to Explanation, and Interpretable AI Tae Wan Kim*, Bryan Routledge, Carnegie Mellon University
  • Epsilon Voting: Mechanism Design for Parameter Selection in Differential Privacy Nitin Kohli*, Paul Laskowski, UC Berkeley School of Information
  • BigBing: Privacy-Preserving Cloud-Based Malware Classification Service Yunus Kucuk, Nikhil Patil, Zhan Shu, Guanhua Yan*, Binghamton University
  • PhotoSafer: Content-based Context-aware Private Photo Protection for Smartphones Ang Li*, David Darling, Qinghua Li, University of Arkansas
  • Privacy-Preserving Data Collection in Context-Aware Applications Wei Li*, Georgia State University; Chunqiang Hu, Chongqing University; Tianyi Song, Marshall University; Jiguo Yu, Qufu Normal University; Xiaoshuang Xing, Changshu Institute of Technology; Zhipeng Cai, Georgia State University
  • A Cloud-based Secure and Privacy-Preserving Clustering Analysis of Infectious Disease Jianqing Liu*, Yaodan Hu, University of Florida; Hao Yue, San Francisco State University; Yanmin Gong, Oklahoma State University; Yuguang Fang, University of Florida
  • The Potential for User-Tailored Privacy on Facebook Moses Namara*, Henry Sloan, Priyanka Jaiswal, Bart P. Knijnenburg, Clemson University
  • Deriving privacy settings for location sharing: Are context factors always the best choice? Frederic Raber*, German Research Centre for Artificial Intelligence; Antonio Krueger, Saarland University
  • Privacy Enabled Crowdsourced Transmitter Localization Using Adjusted Measurements Harsimran Singh*, Shamik Sarkar, Anuj Dimri, Aditya Bhaskara, Neal Patwari, Sneha Kasera, University of Utah; Samuel Ramirez, Kurt Derr, Idaho National Labs

*: corresponding author
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