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Found 4 papers, 3 papers with code
Generative Social Choice
Traditionally, social choice theory has only been applicable to choices among a few predetermined alternatives but not to more complex decisions such as collectively selecting a textual statement.
AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning
On the other, we present a concrete set of attacks on visual ad-blockers by constructing adversarial examples in a real web page context.
AST-Based Deep Learning for Detecting Malicious PowerShell
With the celebrated success of deep learning, some attempts to develop effective methods for detecting malicious PowerShell programs employ neural nets in a traditional natural language processing setup while others employ convolutional neural nets to detect obfuscated malicious commands at a character level.
Painting Outside the Box: Image Outpainting with GANs
The challenging task of image outpainting (extrapolation) has received comparatively little attention in relation to its cousin, image inpainting (completion).
