Understanding the Security and Robustness of SIFT - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Reports (Research Report) Year : 2010

Understanding the Security and Robustness of SIFT

Thanh-Toan Do
  • Function : Author
  • PersonId : 870909
Ewa Kijak
Laurent Amsaleg


Many content-based retrieval systems (CBIRS) describe images using the SIFT local features because they provide 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. Hsu \emph{et al.} in~\cite{hsu09:_secur_robus_sift} show that very specific anti-SIFT attacks can jeopardize the keypoint detection. These attacks can delude systems using SIFT targeting application such 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.
Fichier principal
Vignette du fichier
RR-7280.pdf (429.8 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

inria-00482502 , version 1 (10-05-2010)


  • HAL Id : inria-00482502 , version 1


Thanh-Toan Do, Ewa Kijak, Teddy Furon, Laurent Amsaleg. Understanding the Security and Robustness of SIFT. [Research Report] RR-7280, INRIA. 2010. ⟨inria-00482502⟩
199 View
204 Download


Gmail Facebook X LinkedIn More