Understanding the security and robustness of SIFT

Thanh-Toan Do, Ewa Kijak, Teddy Furon, Laurent Amsaleg
2010 Proceedings of the international conference on Multimedia - MM '10  
Many content-based retrieval systems (CBIRS) describe images using the SIFT local features because of their very robust recognition capabilities. While SIFT features proved to cope with a wide spectrum of general purpose image distortions, its security has not fully been assessed yet. In one of their scenario, Hsu et al. in [2] show that very specific anti-SIFT attacks can jeopardize the keypoint detection. These attacks can delude systems using SIFT targeting application such as image
more » ... h as image authentication and (pirated) copy detection. Having some expertise in CBIRS, we were extremely concerned by their analysis. This paper presents our own investigations on the impact of these anti-SIFT attacks on a real CBIRS indexing a large collection of images. The attacks are indeed not able to break the system. A detailed analysis explains this assessment.
doi:10.1145/1873951.1874185 dblp:conf/mm/DoKFA10 fatcat:7gvjbdvlcrdihphweoth7a3lce