A verifiable delay function (VDF) requires a specified number of sequential steps to compute, yet the validity of its output can be verified efficiently, much faster than recomputing the function from scratch. VDFs are a versatile cryptographic tool, with many industrial applications, such as blockchain consensus protocols, lotteries and verifiable randomness. Unfortunately, without exceptions, all known practical VDF constructions are broken by quantum algorithms. In this work, we investigate the practicality of VDFs with plausible post-quantum security. We propose Papercraft, a working implementation of a VDF based entirely on lattice techniques and thus plausibly post-quantum secure. Our VDF is based on new observations on lattice-based succinct argument systems with many low-level optimisations, yielding the first lattice-based VDF that is implementable on today's hardware. As an example, our Papercraft implementation can verify a computation of over 6 minutes in just 7 seconds. Overall, our work demonstrates that lattice-based VDFs are not just a theoretical construct, paving the way for their practical deployment.

We study a variant of classical clustering formulations in the context of algorithmic fairness, known as diversity-aware clustering. In this variant we are given a collection of facility subsets, and a solution must contain at least a specified number of facilities from each subset while simultaneously minimizing the clustering objective (k-median or k-means). We investigate the fixed-parameter tractability of these problems and show several negative hardness and inapproximability results, even when we afford exponential running time with respect to some parameters.