ACM World Wide Web, WWW 2016


Article Details
Title: Cracking Classifiers for Evasion: A Case Study on the Google's Phishing Pages Filter
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Authors: Bin Liang
  • (Renmin University of China), MOE, Beijing 100872, P. R. China, Key Laboratory of Data Engineering and Knowledge Engineering
  • Renmin University of China, Beijing 100872, P. R. China, School of Information
Miaoqiang Su
  • (Renmin University of China), MOE, Beijing 100872, P. R. China, Key Laboratory of Data Engineering and Knowledge Engineering
  • Renmin University of China, Beijing 100872, P. R. China, School of Information
Wei You
  • (Renmin University of China), MOE, Beijing 100872, P. R. China, Key Laboratory of Data Engineering and Knowledge Engineering
  • Renmin University of China, Beijing 100872, P. R. China, School of Information
Wenchang Shi
  • (Renmin University of China), MOE, Beijing 100872, P. R. China, Key Laboratory of Data Engineering and Knowledge Engineering
  • Renmin University of China, Beijing 100872, P. R. China, School of Information
Gang Yang
  • (Renmin University of China), MOE, Beijing 100872, P. R. China, Key Laboratory of Data Engineering and Knowledge Engineering
  • Renmin University of China, Beijing 100872, P. R. China, School of Information
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DBLP Key: conf/www/LiangSYSY16
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