Linear Discriminant Analysis (LDA) is a popular feature extraction technique for face recognition. However, It often suffers from the small sample size problem when dealing with t...
Abstract. We propose an efficient technique for the detection of errors in cryptographic circuits introduced by strong adversaries. Previously a number of linear and nonlinear err...
Zhen Wang, Mark G. Karpovsky, Berk Sunar, Ajay Jos...
We propose a novel and robust hashing paradigm that uses iterative geometric techniques and relies on observations that main geometric features within an image would approximately ...
We investigate the possibility to prove security of the well-known blind signature schemes by Chaum, and by Pointcheval and Stern in the standard model, i.e., without random oracle...
Electronic surveys are an important resource in data mining. However, how to protect respondents' data privacy during the survey is a challenge to the security and privacy co...