Deep Learning is the most widely used tool in the contemporary field of computer vision. Its
ability to accurately solve complex problems is employed in vision research to learn deep …

Deep learning is at the heart of the current rise of artificial intelligence. In the field of
computer vision, it has become the workhorse for applications ranging from self-driving cars …

Abstract Machine learning models deployed as a service (MLaaS) are susceptible to model
stealing attacks, where an adversary attempts to steal the model within a restricted access …

Various facial manipulation techniques have drawn serious public concerns in morality,
security, and privacy. Although existing face forgery classifiers achieve promising …

Classic black-box adversarial attacks can take advantage of transferable adversarial
examples generated by a similar substitute model to successfully fool the target model …

Deep learning models have shown their vulnerability when dealing with adversarial attacks.
Existing attacks almost perform on low-level instances, such as pixels and super-pixels, and …

Segment anything model (SAM), as the name suggests, is claimed to be capable of cutting
out any object and demonstrates impressive zero-shot transfer performance with the …

In the last decade, many deep learning models have been well trained and made a great
success in various fields of machine intelligence, especially for computer vision and natural …