collaborators

6 papers

cs.CV2026

Knowledge-Guided Adversarial Training for Infrared Object Detection via Thermal Radiation Modeling

Shiji Zhao, Shukun Xiong, Maoxun Yuan +6

In complex environments, infrared object detection exhibits broad applicability and stability across diverse scenarios. However, infrared object detection is vulnerable to both com…

cs.CV2023

Towards Transferable Targeted 3D Adversarial Attack in the Physical World

Yao Huang, Yinpeng Dong, Shouwei Ruan +3

Compared with transferable untargeted attacks, transferable targeted adversarial attacks could specify the misclassification categories of adversarial samples, posing a greater thr…

cs.CV2023

Embodied Laser Attack:Leveraging Scene Priors to Achieve Agent-based Robust Non-contact Attacks

Yitong Sun, Yao Huang, Xingxing Wei

As physical adversarial attacks become extensively applied in unearthing the potential risk of security-critical scenarios, especially in dynamic scenarios, their vulnerability to…

cs.CV2023

Unified Adversarial Patch for Visible-Infrared Cross-modal Attacks in the Physical World

Xingxing Wei, Yao Huang, Yitong Sun +1

Physical adversarial attacks have put a severe threat to DNN-based object detectors. To enhance security, a combination of visible and infrared sensors is deployed in various scena…

cs.CV20231 cited

Unified Adversarial Patch for Cross-modal Attacks in the Physical World

Xingxing Wei, Yao Huang, Yitong Sun +1

Recently, physical adversarial attacks have been presented to evade DNNs-based object detectors. To ensure the security, many scenarios are simultaneously deployed with visible sen…

cs.CE2023

HOSSnet: an Efficient Physics-Guided Neural Network for Simulating Crack Propagation

Shengyu Chen, Shihang Feng, Yao Huang +4

Hybrid Optimization Software Suite (HOSS), which is a combined finite-discrete element method (FDEM), is one of the advanced approaches to simulating high-fidelity fracture and fra…