We consider (almost) $k$-wise independent hash functions, whose evaluations on any $k$ inputs are (almost) uniformly random, for very large values of $k$. Such hash functions need to have a large key that grows linearly with $k$. However, it may be possible to evaluate them in sub-linear time by ... more >>>

We present a worst case decoding problem whose hardness reduces to that of solving the Learning Parity with Noise (LPN) problem, in some parameter regime. Prior to this work, no worst case hardness result was known for LPN (as opposed to syntactically similar problems such as Learning with Errors). The ... more >>>

We construct a delegation scheme for verifying non-deterministic computations, with complexity proportional only to the non-deterministic space of the computation. Specifi cally, letting $n$ denote the input length, we construct a delegation scheme for any language veri fiable in non-deterministic time and space $(T(n);S(n))$ with communication complexity $poly(S(n))$, verifi er ... more >>>