Results 61 to 70 of about 619 (184)

Stop Using Limiting Stimuli as a Measure of Sensitivities of Energetic Materials

Propellants, Explosives, Pyrotechnics, EarlyView.
ABSTRACT Accurately estimating the sensitivity of explosive materials is a potentially life‐saving task that requires standardised protocols across nations. One of the most widely applied procedures worldwide is the so‐called ‘1‐In‐6’ test from the United Nations (UN) Manual of Tests in Criteria, which estimates a ‘limiting stimulus’ for a material. In
Dennis Christensen, Geir Petter Novik
wiley   +1 more source

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

Integrating multimodal data and machine learning for entrepreneurship research

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source

Object Hider: Adversarial Patch Attack Against Object Detectors

CoRR, 2020
Deep neural networks have been widely used in many computer vision tasks. However, it is proved that they are susceptible to small, imperceptible perturbations added to the input. Inputs with elaborately designed perturbations that can fool deep learning models are called adversarial examples, and they have drawn great concerns about the safety of deep
Yusheng Zhao, Huanqian Yan, Xingxing Wei
openaire   +2 more sources

Fooling Automated Surveillance Cameras: Adversarial Patches to Attack Person Detection [PDF]

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019
Accepted for CVPR Workshop: CV-COPS ...
Van Ranst, Wiebe, Thys, Simen, Goedemé, Toon   +2 more
openaire   +2 more sources

Physically structured adversarial patch inspired by natural leaves multiply angles deceives infrared detectors

Journal of King Saud University: Computer and Information Sciences
Researching infrared adversarial attacks is crucial for ensuring the safe deployment of security-sensitive systems reliant on infrared object detectors.
Zhiyang Hu, Xing Yang, Jiwen Zhao, Haoqi Gao, Haoli Xu, Hua Mu, Yangyang Wang   +6 more
doaj   +1 more source

Physical Unclonable Function Based on 3D‐NAND Flash Array Structure With Multi‐Chip Implementation

Small, EarlyView.
Physical unclonable function (PUF) based on a 3D‐NAND flash array is proposed, featuring a multi‐chip structure and a massive challenge–response pair (CRP) capacity. The presented utilizes intrinsic string current variations experimentally verified across eight fabricated 48 × 24 NAND flash arrays.
Hwiho Hwang, Sangwook Youn, Jinwoo Park, Dayeon Yu, Hyungjin Kim   +4 more
wiley   +1 more source

Generative AI—the Transgression of Technology

Systems Research and Behavioral Science, EarlyView.
ABSTRACT This article offers a systems‐theoretical analysis of generative artificial intelligence (GenAI) grounded in Niklas Luhmann's sociology of technology. It addresses a central conceptual problem: How GenAI can be understood within a theoretical framework that has traditionally defined technology as a means of stabilising action through causal ...
Jesper Tække
wiley   +1 more source

A Systems‐Level Approach to Address Risks and Ethics in Artificial Intelligence Systems

Systems Engineering, EarlyView.
ABSTRACT Artificial intelligence (AI) is rapidly changing the world, from completely controlling routine or mundane tasks like text and image generation, to powering advanced algorithms that control critical systems. The recent advances in generative AI quickly overwhelmed multiple industries from education to finance as first adopters rushed (and ...
Vincent P. Paglioni, Torrey Mortenson
wiley   +1 more source

Countering FIMI by Digital Authoritarianisms: Audience Architecture and Reverse Language Engineering

Global Policy, EarlyView.
ABSTRACT Foreign information manipulation and interference (FIMI) campaigns on social media are currently both more accessible and more impactful than the North Atlantic Treaty Organization's (NATO) or European Union's (EU), offering their opponents superiority and efficiency on those platforms.
Michelangelo Conoscenti
wiley   +1 more source