catalog://tripatch-inspired/yolo-person-detection/software-tested
Adversarial patterns that disrupt AI detection.
We take current adversarial-ML research, run the optimization ourselves, and test the output in software against YOLO person detection — starting with the TriPatch method. Available now as digital PNG packs; apparel and patches next.
- Built from
- published research
- Tested vs
- YOLOv5su + v8n
- Ships as
- digital PNG packs
publish gate
Tested adversarial patterns
A release only goes live when the catalog record names the target model, attack goal, source-paper lineage, the software-test result, output format, and limitations.
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Model-targetedYOLO Person-Detection Pattern 01 — Signal Bloom (Digital PNG Pack)
- YOLOv5su person72%
- YOLOv8n person transfer58%
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Model-targetedYOLO Person-Detection Pattern 02 — Mirage Relay (Digital PNG Pack)
- YOLOv5su person66%
- YOLOv8n person transfer60%
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Model-targetedYOLO Person-Detection Pattern 03 — Prism Vector (Digital PNG Pack)
- YOLOv5su person65%
- YOLOv8n person transfer57%
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Model-targetedYOLO Person-Detection Pattern 04 — Aperture Static (Digital PNG Pack)
- YOLOv5su person61%
- YOLOv8n person transfer48%