Compressive learning (CL) is an emerging topic that combines signal acquisition via compressive sensing (CS) and machine to perform inference tasks directly on a small number of measurements. Many data modalities naturally have multidimensional or tensorial format, with each dimension tensor mode representing different features such as the spatial temporal information in video sequences spectra...

Cryptographic multilinear map is a useful tool for constructing numerous secure protocols and Graded Encoding System (GES) is an approximate concept of multilinear map. In multilinear map context, there are several important issues, mainly about security and efficiency. All early stage candidate multilinear maps are recently broken by so-called zeroizing attack, so that it is highly required to...

Known methods for obfuscating a circuit need to represent the circuit as a branching program and then use a multilinear map to encrypt the branching program. Multilinear maps are, however, too inefficient for encrypting the branching program. We found a dynamic encoding method which effectively singles out different inputs in the context of the matrix randomization technique of Kilian and Gentr...