Images, captured by a camera, play a critical role in training Deep Neural Networks (DNNs).
Usually, we assume the images acquired by cameras are consistent with the ones perceived …

Moiré patterns are interference patterns that are produced due to the overlap of the digital
grids of the camera sensor resulting in a high-frequency noise in the image. This paper …

Backdoor attacks have been shown to be a serious threat against deep learning systems
such as biometric authentication and autonomous driving. An effective backdoor attack …

Backdoor attacks against neural networks have been intensively investigated, where the
adversary compromises the integrity of the victim model, causing it to make wrong …

Backdoor attacks have been shown to be a serious threat against deep learning systems
such as biometric authentication and autonomous driving. An effective backdoor attack …

Recent research has shown that deep neural networks are vulnerable to backdoor attacks. A
carefully-designed backdoor trigger will mislead the victim model to misclassify any sample …

Abstract Backdoor attacks against Deep Neural Networks (DNNs) have surfaced as a
substantial and concerning security challenge. These backdoor vulnerabilities in DNNs can …

Deep neural networks (DNNs) are widely deployed on real-world devices. Concerns
regarding their security have gained great attention from researchers. Recently, a new …

Deep neural networks are vulnerable to Trojan attacks. Existing attacks use visible patterns
(eg, a patch or image transformations) as triggers, which are vulnerable to human …

In the physical world, the interplay of light and shadow can significantly impact the
performance of deep neural networks (DNNs), leading to substantial consequences, as …