vt-asaplab/ezDPS

ezDPS is an academic research artifact from the ASAP Lab at Virginia Tech. While it addresses the critical bottleneck of zero-knowledge machine learning (ZKML) efficiency, its quantitative signals (21 stars, 0 forks, zero activity in over 3 years) indicate it is a static repository tied to a specific paper rather than a living software project. In the fast-moving ZKML space, this implementation has been effectively superseded by more robust, production-grade frameworks like EZKL, Modulus Labs, and RISC Zero. The defensibility is minimal as the project lacks a community, documentation for external use, or modern ZK-backend integrations (e.g., Halo2 or Plonky2). Frontier labs are unlikely to build this directly, as they currently favor TEEs (Trusted Execution Environments) for privacy, but the project is already displaced by specialized ZK startups that have raised significant capital and achieved much higher performance benchmarks.