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audit benchmark #5

Description

@VoDaiLocz

Analyze this repository specifically for benchmark integrity and anti-mimicry evaluation quality.

Create GitHub issues for:

  • proxy metrics that may not reflect real anti-mimicry strength
  • misleading benchmark framing
  • missing ground-truth LoRA/DreamBooth evaluation
  • weak robustness testing (resize, JPEG, blur, crop)
  • dataset split risks
  • missing reproducibility details
  • weak comparison methodology

For each issue, include:

  • Title
  • What is wrong with the benchmark
  • Why it can mislead users
  • Evidence from the repo
  • Proposed benchmark upgrade
  • Acceptance criteria
  • Labels

Be strict and technical.

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