research
∙
05/23/2023
Impact of Light and Shadow on Robustness of Deep Neural Networks
Deep neural networks (DNNs) have made remarkable strides in various comp...
share
research
∙
04/21/2023
Fooling Thermal Infrared Detectors in Physical World
Infrared imaging systems have a vast array of potential applications in ...
research
∙
09/19/2022
Catoptric Light can be Dangerous: Effective Physical-World Attack by Natural Phenomenon
Deep neural networks (DNNs) have achieved great success in many tasks. T...
research
∙
09/19/2022
Adversarial Color Projection: A Projector-Based Physical Attack to DNNs
Recent advances have shown that deep neural networks (DNNs) are suscepti...
research
∙
09/02/2022
Adversarial Color Film: Effective Physical-World Attack to DNNs
It is well known that the performance of deep neural networks (DNNs) is ...
research
∙
09/02/2022
Impact of Colour Variation on Robustness of Deep Neural Networks
Deep neural networks (DNNs) have have shown state-of-the-art performance...
research
∙
09/02/2022
Impact of Scaled Image on Robustness of Deep Neural Networks
Deep neural networks (DNNs) have been widely used in computer vision tas...
research
∙
06/23/2022
Adversarial Zoom Lens: A Novel Physical-World Attack to DNNs
Although deep neural networks (DNNs) are known to be fragile, no one has...
research
∙
06/02/2022
Adversarial Laser Spot: Robust and Covert Physical Adversarial Attack to DNNs
Most existing deep neural networks (DNNs) are easily disturbed by slight...
research
∙
04/02/2022