main webpage W Topic Computer Vision arXiv (Cornell University) Towards Black-box Adversarial Example Detection: A Data Reconstruction-based Method 2023 Adversarial example detection is known to be an effective adversarial defense method. Black-box attack, which is a more realistic threat and has led to various black-box adversarial training-based defense methods, however, does not attract considerable attent… Article Open Computer Vision Open Article Page

Computer Vision

Computerized information extraction from images Computer vision tasks include methods for acquiring, processing, analyzing, and understanding digital images, and extraction of high- dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the form of decisions. "Understanding" in this context signifies the transformation of visual images (the input to the retina) into descriptions of the world that make sense to thought processes and can elicit appropriate action. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory. Critical Symbolic Virtual Narrative Open Computer Vision Open Article Page

Exploring foci of: arXiv (Cornell University) Towards Black-box Adversarial Example Detection: A Data Reconstruction-based Method 2023 Adversarial example detection is known to be an effective adversarial defense method. Black-box attack, which is a more realistic threat and has led to various black-box adversarial training-based defense methods, however, does not attract considerable attention in adversarial example detection. In this paper, we fill this gap by positioning the problem of black-box adversarial example detection (BAD). Data analysis under the introduced BAD settings demonstrates (1) the incapability of existing detectors in addres… Open Article Page

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Explore Computer Vision W Topic Computer Vision arXiv (Cornell University) Towards Black-box Adversarial Example Detection: A Data Reconstruction-based Method 2023 Adversarial example detection is known to be an effective adversarial defense method. Black-box attack, which is a more realistic threat and has led to various black-box adversarial training-based defense methods, however, does not attract considerable attent… Article Critical Symbolic Virtual Narrative Open Computer Vision Open Article Page