Chengyin Hu

According to our database, Chengyin Hu authored at least 19 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adversarial catoptric light: An effective, stealthy and robust physical-world attack to DNNs.

Chengyin Hu, Weiwen Shi, Ling Tian, Wen Li

IET Comput. Vis., August, 2024

Adversarial Neon Beam: A light-based physical attack to DNNs.

Chengyin Hu, Weiwen Shi, Ling Tian, Wen Li

Comput. Vis. Image Underst., January, 2024

Adversarial Infrared Curves: An attack on infrared pedestrian detectors in the physical world.

Chengyin Hu, Weiwen Shi, Wen Yao, Tingsong Jiang, Ling Tian, Xiaoqian Chen, Wen Li

Neural Networks, 2024

Adversarial infrared blocks: A multi-view black-box attack to thermal infrared detectors in physical world.

Chengyin Hu, Weiwen Shi, Tingsong Jiang, Wen Yao, Ling Tian, Xiaoqian Chen, Jingzhi Zhou, Wen Li

Neural Networks, 2024

Multi-View Black-Box Physical Attacks on Infrared Pedestrian Detectors Using Adversarial Infrared Grid.

Kalibinuer Tiliwalidi, Chengyin Hu, Weiwen Shi

CoRR, 2024

2023

Adversarial color projection: A projector-based physical-world attack to DNNs.

Chengyin Hu, Weiwen Shi, Ling Tian

Image Vis. Comput., December, 2023

Adversarial Infrared Curves: An Attack on Infrared Pedestrian Detectors in the Physical World.

Chengyin Hu, Weiwen Shi

CoRR, 2023

Two-stage optimized unified adversarial patch for attacking visible-infrared cross-modal detectors in the physical world.

Chengyin Hu, Weiwen Shi

CoRR, 2023

Impact of Light and Shadow on Robustness of Deep Neural Networks.

Chengyin Hu, Weiwen Shi, Chao Li, Jialiang Sun, Donghua Wang, Junqi Wu, Guijian Tang

CoRR, 2023

Fooling Thermal Infrared Detectors in Physical World.

Chengyin Hu, Weiwen Shi

CoRR, 2023

2022

Catoptric Light can be Dangerous: Effective Physical-World Attack by Natural Phenomenon.

Chengyin Hu, Weiwen Shi

CoRR, 2022

Adversarial Color Projection: A Projector-Based Physical Attack to DNNs.

Chengyin Hu, Weiwen Shi

CoRR, 2022

Impact of Colour Variation on Robustness of Deep Neural Networks.

Chengyin Hu, Weiwen Shi

CoRR, 2022

Adversarial Color Film: Effective Physical-World Attack to DNNs.

Chengyin Hu, Weiwen Shi

CoRR, 2022

Impact of Scaled Image on Robustness of Deep Neural Networks.

Chengyin Hu, Weiwen Shi

CoRR, 2022

Adversarial Zoom Lens: A Novel Physical-World Attack to DNNs.

Chengyin Hu, Weiwen Shi

CoRR, 2022

Adversarial Laser Spot: Robust and Covert Physical Adversarial Attack to DNNs.

Chengyin Hu

CoRR, 2022

Adversarial Neon Beam: Robust Physical-World Adversarial Attack to DNNs.

Chengyin Hu, Kalibinuer Tiliwalidi

CoRR, 2022

Adversarial Laser Spot: Robust and Covert Physical-World Attack to DNNs.

Chengyin Hu, Yilong Wang, Kalibinuer Tiliwalidi, Wen Li

Proceedings of the Asian Conference on Machine Learning, 2022