creators_name: Zuo, Haiqiang creators_name: Hu, Weiming creators_name: Wu, Ou creators_name: Chen, Yunfei creators_name: Luo, Guan type: conference_item datestamp: 2009-04-06 19:14:00 lastmod: 2009-04-07 14:03:08 metadata_visibility: show title: Detecting Image Spam Using Local Invariant Features and Pyramid Match Kernel ispublished: pub full_text_status: public pres_type: poster abstract: 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. date: 2009-04 pagerange: 1187-1187 event_title: 18th International World Wide Web Conference event_location: Madrid, Spain event_dates: April 20th-24th, 2009 event_type: conference refereed: TRUE citation: Zuo, Haiqiang and Hu, Weiming and Wu, Ou and Chen, Yunfei and Luo, Guan (2009) Detecting Image Spam Using Local Invariant Features and Pyramid Match Kernel. In: 18th International World Wide Web Conference, April 20th-24th, 2009, Madrid, Spain. document_url: http://www2009.eprints.org/174/1/p1187.pdf