Abstract: In recent years, adversarial example methods in deep learning have proliferated. Meanwhile diffusion models have gained wide applications across various tasks due to their superior ...
Abstract: Existing adversarial attacks for face anti-spoofing predominantly assume that the model parameters are fully known, and often overlook the transferability of adversarial examples across ...
Clockwise from top left: Monica Bicking, via Storyful; Status Coup News, via Storyful; Brendan Gutenschwager, via Storyful; and Level Up with Gene and Jay, via Facebook. By Elena Shao, Arijeta Lajka, ...
Prithvi-EO-2.0 is based on the ViT architecture, pretrained using a masked autoencoder (MAE) approach, with two major modifications as shown in the figure below. Second, we considered geolocation ...
RapidFit handles the two biggest pain points in text classification: not enough data and too many separate models. Give it a few examples per class, and it will generate more training data using LLMs, ...
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