Preprint · arXiv · September 11, 2026
Fresh-Challenge VDF Attestations for Model-Relative Response Latency
Ansar Yesmukhanov, Aruzhan Tlessova
Abstract
Can a finite verifier obtain public, model-relative evidence about response latency for sequential computation? Verifiable delay functions (VDFs) make this possible in principle: evaluation requires T sequential steps, whereas verification is efficient in the security parameter and polylogarithmic in the numerical value of T for standard constructions. Thus a delay can be astronomically large to evaluate yet succinctly represented and feasibly checked. A VDF proof for a chosen message alone is insufficient because it may be precomputed. We specify and analyze Fresh-Challenge VDF Attestations (FCLA), a protocol composition that binds a VDF to an unpredictable public challenge, a message, and independently auditable release and receipt records. Under explicit assumptions about VDF sequentiality, the challenge source, witness logs, and a calibrated upper bound on an adversary's sequential evaluation rate, an accepted FCLA transcript is inconsistent with post-challenge generation by an adversary in that bounded model. The result neither identifies a named claimant nor excludes relaying, outsourcing, or a faster unmodeled machine. A benchmark of the public reference implementation confirms the expected empirical separation between evaluation and verification on one documented machine. Our contribution is a protocol/design analysis and benchmarked reference implementation layer, not a new VDF construction or cryptographic primitive.
Related publications
- The informativeness of the gradient revisitedNeural Networks · 2025 · Shared topic: Cryptography and Data Security
- Almost pairwise independence and resilience to deep learning attacksIACR Communications in Cryptology · 2024 · Citations: 1 · Shared topic: Cryptography and Data Security
- Intractability of Learning the Discrete Logarithm with Gradient-Based MethodsarXiv · 2023 · Citations: 1 · Shared topic: Cryptography and Data Security
- Hardness of Learning AES Key (Student Abstract)Proceedings of the AAAI Conference on Artificial Intelligence · 2023 · Shared topic: Cryptography and Data Security
