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Adversarial attacks and defenses in deep learning: From a perspective of cybersecurity
The outstanding performance of deep neural networks has promoted deep learning
applications in a broad set of domains. However, the potential risks caused by adversarial …
applications in a broad set of domains. However, the potential risks caused by adversarial …
Advdrop: Adversarial attack to dnns by drop** information
Human can easily recognize visual objects with lost information: even losing most details
with only contour reserved, eg cartoon. However, in terms of visual perception of Deep …
with only contour reserved, eg cartoon. However, in terms of visual perception of Deep …
Adversarial examples on object recognition: A comprehensive survey
Deep neural networks are at the forefront of machine learning research. However, despite
achieving impressive performance on complex tasks, they can be very sensitive: Small …
achieving impressive performance on complex tasks, they can be very sensitive: Small …