We put forward a new family of computational assumptions, the Kernel Matrix Di e- Hellman Assumption. Given some matrix A sampled from some distribution D `;k , the kernel as- sumption says that it is hard to nd \in the exponent
CitacióMorillo, M., Rafols, C., Villar, J. "Matrix computational assumptions in multilinear groups". 2015.