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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.
Smashed data bottlenecks in split learning? SL-FAC shrinks communication overhead by intelligently quantizing frequency components, boosting training efficiency.
AI-assisted IDEs are fundamentally changing how developers work, shifting from upfront task specification to iterative refinement, and from direct code engagement to delegating diagnosis and validation to the AI.
Achieve higher accuracy and faster convergence in split learning by intelligently pruning communication channels based on label awareness.