src_e53adb99e40ae66258
- Source-provided label
- Not reported
- Evidence class
- mentioned in report
- Confidence
- Not reported
- Observed
- Oct 07, 2026 01:12 UTC
- Retrieved
- Oct 08, 2026 03:46 UTC
ePrint Report: GPU-Assisted FAEST v3 Signing: Challenge Grinding and CPU–GPU Pipelining Ha-Gyeong Kim, Si-Woo Eum, Seung-Won Lee, Min-Ho Song, Hwa-Jeong Seo Applying a GPU to FAEST v3 signing requires more than exploiting parallel computation: challenge grinding must preserve the minimum accepting counter selected by the original signing procedure, and single-sign latency and multi-sign throughput
GPU-Assisted FAEST v3 Signing: Challenge Grinding and CPU–GPU Pipeliningdfd1437a2954f88337f6a955e088deaeaaf242c47c2af4c6911b621a174f7e5eNetwork indicators are visibly defanged. This page does not make them clickable or send them to another service.
No validated file hashes or network indicators are stored for this record.
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Sources represented on this page. Publication and observation dates describe the content; successful batch dates describe local collection. A recent batch does not certify complete coverage or current provider availability.
1 sources: 0 stale, 0 needing attention, 0 paused, 1 unverified.
Stale means older than twice the recorded collection interval, with a minimum of one hour; without an interval, the threshold is 24 hours. Cached content remains available while a feed is stale, paused, or unverified.