Results 81 to 90 of about 26,718 (222)

Towards Robust Physical Adversarial Attacks on UAV Object Detection: A Multi-Dimensional Feature Optimization Approach

Machines
Deep neural network (DNN)-based object detection has been extensively implemented in Unmanned Aerial Vehicles (UAVs). However, these architectures reveal significant vulnerabilities when faced with adversarial attacks, particularly the physically ...
Hailong Xi, Le Ru, Jiwei Tian, Wenfei Wang, Rui Zhu, Shiliang Li, Zhenghao Zhang, Longhao Liu, Xiaohui Luan   +8 more
doaj   +1 more source

SAR-to-Optical Image Translation Using Supervised Cycle-Consistent Adversarial Networks

IEEE Access, 2019
Optical remote sensing (RS) data suffer from the limitation of bad weather and cloud contamination, whereas synthetic aperture radar (SAR) can work under all weather conditions and overcome this disadvantage of optical RS data.
Lei Wang, Xin Xu, Yue Yu, Rui Yang, Rong Gui, Zhaozhuo Xu, Fangling Pu   +6 more
doaj   +1 more source

Adversarial patch generation for automated program repair

Software Quality Journal
Automated Program Repair has attracted significant research in recent years, leading to diverse techniques that focus on two main directions: search-based and semantic-based program repair. The former techniques often face challenges due to the vast search space, resulting in difficulties in identifying correct solutions, while the latter approaches ...
Abdulaziz Alhefdhi, Hoa Khanh Dam, Thanh Le-Cong, Bach Le 0001, Aditya Ghose   +4 more
openaire   +2 more sources

Major Cybersecurity Breaches: Shaping Corporate Cybersecurity Policies and Closing the Gaps

Journal of Corporate Accounting &Finance, EarlyView.
ABSTRACT As digitalization accelerates, cybercrime has intensified in both scale and impact over the past two decades. This study aims to critically examine major cybersecurity events, assess them through the lens of routine activity theory, examine insight from three other established criminological and organizational theories, and address central ...
Laura K. Rickett, Deborah Smith
wiley   +1 more source

Unraveling Patch Size Effects in Vision Transformers: Adversarial Robustness in Hyperspectral Image Classification

Remote Sensing
Vision Transformers (ViTs) have demonstrated strong performance in hyperspectral image (HSI) classification; however, their robustness is highly sensitive to patch size.
Shashi Kiran Chandrappa, Sidike Paheding, Abel A. Reyes-Angulo   +2 more
doaj   +1 more source

Multi‐Agent Reinforcement Learning for Joint Police Patrol and Dispatch

Naval Research Logistics (NRL), EarlyView.
ABSTRACT Police patrol units need to split their time between performing preventive patrol and being dispatched to serve emergency incidents. In the existing literature, patrol and dispatch decisions are often studied separately. We consider joint optimization of these two decisions to improve police operations efficiency and reduce response time to ...
Matthew Repasky, He Wang, Yao Xie
wiley   +1 more source

Physical adversarial attack in artificial intelligence of things

IET Communications
With the continuous development of wireless communication and artificial intelligence technology, Internet of Things (IoT) technology has made great progress. Deep learning methods are currently used in IoT technology, but deep neural networks (DNNs) are
Xin Ma, Kai Yang, Chuanzhen Zhang, Hualing Li, Xin Zheng   +4 more
doaj   +1 more source

MAS-PD: Transferable Adversarial Attack Against Vision-Transformers-Based SAR Image Classification Task

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Synthetic aperture radar (SAR) is widely used in civil and military fields. With advancements in vision transformer (ViT) research, these models have become increasingly important in SAR image classification due to their remarkable performance. Therefore,
Boshi Zheng, Jiabin Liu, Yunjie Li, Yan Li, Zhen Qin   +4 more
doaj   +1 more source

From Data to Decisions: How Machine Learning and Generative Artificial Intelligence Are Redefining Precision Medicine in Kidney Transplantation

Organ Medicine, EarlyView.
This review evaluates how machine learning, multimodal integration, and generative AI optimize kidney transplant outcomes. These tools enable superior prediction and personalized therapy but face hurdles in data volume, generalizability, and ethics. Future clinical adoption depends on continued innovation and multidisciplinary collaboration to overcome
Maoxin Liao, Cheng Yang
wiley   +1 more source

Pattern Corruption-Assisted Physical Attacks Against Object Detection in UAV Remote Sensing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Deep neural networks (DNNs) have attained remarkable success in aerial detection tasks, yet they remain susceptible to adversarial samples, posing a significant challenge for their practical applications.
Yu Zhang, Zhiqiang Gong, Hao Wen, Xikun Hu, Xiaoyan Xia, Hejun Jiang, Ping Zhong   +6 more
doaj   +1 more source