Author

Jun Nie

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Preprint Aug 2026

Generated Images Are Easier to Forget: A Machine Unlearning Perspective for Synthetic Image Detection

This work establishes a new paradigm for generated image detection by recasting the detection task as a problem of machine unlearning, and introduces two detection methods: data-free detection, which prunes model parameters to induce unlearning without data access, and data-driven detection, which optimizes LVMs to unlearn knowledge tied to generated images.

Jun Nie, Yonggang Zhang, Tongliang Liu et al. · 0 citations

Preprint Jul 2026

TTHE: Test-Time Harness Evolution

Test-Time Harness Evolution is introduced, which treats the executable harness as the state of test-time adaptation for LLM agents as evolution over executable control programs and identifies execution-derived proxy reliability as a central challenge for robust unsupervised agent improvement.

Jun Nie, Yonggang Zhang, Jun Song et al. · 2 citations