%A Haiqiang Zuo
%A Weiming Hu
%A Ou Wu
%A Yunfei Chen
%A Guan Luo
%T Detecting Image Spam Using Local Invariant Features and Pyramid Match Kernel
%X Image spam is a new obfuscating method which spammers invented to more effectively bypass conventional text based spam filters. In this paper, we extract local invariant features of images and run a one-class SVM classifier which uses the pyramid match kernel as the kernel function to detect image spam. Experimental results demonstrate that our algorithm is effective for fighting image spam.
%C Madrid, Spain
%D 2009
%P 1187-1187
%L www2009174