Results 71 to 80 of about 8,712 (199)

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

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

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

On the Feasibility and Generality of Patch-Based Adversarial Attacks on Semantic Segmentation Problems

, 2022
Deep neural networks were applied with success in a myriad of applications, but in safety critical use cases adversarial attacks still pose a significant threat. These attacks were demonstrated on various classification and detection tasks and are usually considered general in a sense that arbitrary network outputs can be generated by them.
Soma Kontár, András Horváth
openaire   +2 more sources

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

When Is an Audit “Good Enough”? Professional Ambiguity and Strategic Sensemaking During an Audit Oversight Inspection Quand un audit est‐il « assez réussi » ? Ambiguïté professionnelle et construction stratégique de sens lors d'une surveillance des audits

Contemporary Accounting Research, EarlyView.
ABSTRACT This paper draws on the social control and sensemaking literatures to study how a Big 4 audit firm in the Netherlands sought to contest the national oversight body's inspection findings on one of its audit engagements. Our case study leads us to develop the concept of professional ambiguity to capture the multiple, coexisting meanings and ...
Wendy Groot, Dominic Detzen, Anna Gold
wiley   +1 more source

Strategic litigation as a challenge for deliberative democracy

American Journal of Political Science, EarlyView.
Abstract Strategic litigation is a growing public concern, but remains understudied in democratic theory. In strategic litigation, collectives go to court with a political agenda that goes beyond their specific case. How should we assess the legitimacy of strategic litigation? Building on Lafont's model of deliberative democracy and Klein's distinction
Svenja Ahlhaus
wiley   +1 more source

ADVERSARIAL PATCH DETECTION METHOD VIA MATHEMATICAL TRANSFORMATIONS

Безопасность информационных технологий
The widespread deployment of artificial intelligence technologies is motivated by their demonstrated effectiveness in applied domains, notably in image processing.
Dmitry A. Yesipov, Alyona D. Kletenkova, Ilya Yu. Popov   +2 more
doaj   +1 more source

Textile and colour defect detection using deep learning methods

Coloration Technology, EarlyView.
Abstract Recent advances in deep learning (DL) have significantly enhanced the detection of textile and colour defects. This review focuses specifically on the application of DL‐based methods for defect detection in textile and coloration processes, with an emphasis on object detection and related computer vision (CV) tasks.
Hao Cui, Abdel‐Fattah Seyam, Renzo Shamey   +2 more
wiley   +1 more source