AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Invisible watermarking has become a central tool for tracing AI-generated images, but its robustness against adaptive removal attacks remains an open security question. We introduce Latent Frequency Masking, an attack that erases watermark evidence by replacing selected Fourier coefficients in the latent representation...
Digital image watermarking is increasingly critical in media contexts, as emerging regulations and industry practices require marking AI-generated content and ensuring traceable sources to prevent manipulation or misuse. Recent advances in invisible watermarking methods highlight the need to update existing benchmarkin...
AI-generated image detectors are often evaluated on benchmarks where real and synthetic images differ in content, quality, or generation artifacts, allowing models to rely on dataset-specific cues and fail on unfamiliar generators or processed images. Existing datasets provide limited support for evaluating these chall...
This work presents FreeFlow, a hierarchical transformer built without any flow-specific components, using instead a single feed-forward encoder--decoder, achieving state-of-the-art results on major benchmarks, including Sintel, KITTI-2015, and Spring.
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