The paper presents a new approach called Scattering Vision Transformer (SVT) to address challenges in vision tasks. SVT incorporates a spectrally scattering network that captures intricate image details and separates…
Continue readingThe paper by Oliver Turnbull and George Cevora from Artefact Ltd. discusses the inherent instability of computer vision models. The authors argue that adversarial examples, which are small changes to…
Continue readingThe article discusses the limitations of Differentiable Architecture Search (DAS) in the field of Neural Architecture Search (NAS). DAS has been prominent due to its time-efficient automation of neural network…
Continue readingThis research presents a novel image classification scheme that preserves privacy by using a feature extractor and an encoder to mask the plaintext image through a Noise-like Adversarial Example (NAE)….
Continue readingThe paper presents a solution to challenges in Federated Learning (FL) – data heterogeneity and model security. The solution, called Estimated Mean Aggregation (EMA), acts as a reference point for…
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