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TIGA can generate high-quality, detector-evasive images on-the-fly, bypassing the need for source images or model retraining, which could revolutionize evasion strategies against AIGC detectors.
Forget pixel-level noise: FogFool shows that physically-plausible, atmospherically-modeled fog can achieve 84% transfer attack success rate against remote sensing image classifiers, even surviving JPEG compression.
