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20222026
most citedAdversarial Laser Spot: Robust and Covert Physical-World Attack to DNNs

5 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Thermal Topology Collapse: Universal Physical Patch Attacks on Infrared Vision Systems

Chengyin Hu, Yikun Guo, Yuxian Dong +7

Infrared pedestrian detectors are increasingly deployed in all-weather perception systems, but their robustness against physical adversarial attacks remains insufficiently understo…

cs.CV2024

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

Kalibinuer Tiliwalidi, Chengyin Hu, Weiwen Shi

While extensive research exists on physical adversarial attacks within the visible spectrum, studies on such techniques in the infrared spectrum are limited. Infrared object detect…

cs.CV2024★ 1 cited

Adversarial Infrared Geometry: Using Geometry to Perform Adversarial Attack against Infrared Pedestrian Detectors

Kalibinuer Tiliwalidi

Currently, infrared imaging technology enjoys widespread usage, with infrared object detection technology experiencing a surge in prominence. While previous studies have delved int…

cs.CV2023★ 1 cited

Adversarial Camera Patch: An Effective and Robust Physical-World Attack on Object Detectors

Kalibinuer Tiliwalidi

Nowadays, the susceptibility of deep neural networks (DNNs) has garnered significant attention. Researchers are exploring patch-based physical attacks, yet traditional approaches,…

cs.CV2022★ 5 cited

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

Chengyin Hu, Yilong Wang, Kalibinuer Tiliwalidi +1

Most existing deep neural networks (DNNs) are easily disturbed by slight noise. However, there are few researches on physical attacks by deploying lighting equipment. The light-bas…