SJSU ScholarWorks
metadata only
Designing CAPTCHA Systems with Reinforcement Learning for Adaptive Defense
CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) systems remain a widely deployed defense against automated abuse, but advances in machine learning have reduced the effectiveness of traditional challenge-based designs and exposed limitations in proprietary risk-sc
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- CVE-2026-94457 — MEDIUM 4.8#1081173
- Biased Heritage: How Datasets Shape Models in Facial Expression Recognition#1144708
- CVE-2026-37603 — MEDIUM 6.5#1067386
- Human or Machine? A Preliminary Turing Test for Speech-to-Speech Interaction#985000
- Reinforcement learning to improve large language model-based automated code compliance systems#300011
Record · ID 1081874
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive