This paper presents SPA (Simple Power Analysis) attacks against public-key cryptosystems implemented on an FPGA platform. The SPA attack investigates a power waveform generated by...
We propose SWIFFT, a collection of compression functions that are highly parallelizable and admit very efficient implementations on modern microprocessors. The main technique under...
Vadim Lyubashevsky, Daniele Micciancio, Chris Peik...
Activity recognition based on data from mobile wearable devices is becoming an important application area for machine learning. We propose a novel approach based on a combination ...
We present a novel approach to weakly supervised semantic class learning from the web, using a single powerful hyponym pattern combined with graph structures, which capture two pr...
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...