AURA-Adversarial-Use-for-Reliable-Assessment mahajialirezaei · COMPLETED
AURA (Adversarial Use for Reliable Assessment) is a research framework for generating and benchmarking architecture-agnostic adversarial perturbations against OCR systems while preserving human readability. Inspired by human visual cognition, Gestalt principles, and perceptual illusions, AURA evaluates structural, geometric, photometric, and ...
github.com/mahajialirezaei/AURA-Adversarial-Use-for-Reliable-Assessment · ★ 0 · Forks 0 · Size 64.9 MB
SUMMARY
Technologies 12
Scored 12
Observed 12
Practices 6
Evidence 13
Skips 0
COVERAGE
Analyzed 595 files · 71 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
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Shell LANGUAGE Depth 70
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Terraform LANGUAGE Depth 70
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JSON LANGUAGE Depth 70
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Markdown LANGUAGE Depth 70
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YAML LANGUAGE Depth 70
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Python LANGUAGE Depth 70
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pip BUILD_TOOL Depth 80
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npm BUILD_TOOL Depth 80
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AWS SDK CLOUD Depth 66
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NumPy LIBRARY Depth 81
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Requests LIBRARY Depth 62
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PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · observedlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-06-25
Last commit 2026-06-25
Active months 1
Commits 71