Results 91 to 100 of about 17,780 (281)
Energy Science &Engineering, EarlyView.This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom +2 more
wiley +1 more source
Wasserstein Adversarial Robustness [PDF]
, 2020 Deep models, while being extremely flexible and accurate, are surprisingly vulnerable to ``small, imperceptible'' perturbations known as adversarial attacks.
Wu, Kaiwen
core
jeromerony/adversarial-library: First release of the library
, 2022 Library containing PyTorch implementations of various adversarial attacks and ...
Jérôme Rony
core +1 more source
A Comprehensive Review of AI‐Powered Energy Systems
Energy Science &Engineering, EarlyView.The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo +5 more
wiley +1 more source
Adversarial Attacks on Supervised Energy-Based Anomaly Detection in Clean Water Systems
Critical National Infrastructure includes large networks such as telecommunications, transportation, health services, police, nuclear power plants, and utilities like clean water, gas, and electricity.
Maglaras, Leandros +7 more
core +1 more source
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
Remote SensingArtificial intelligence (AI) has made remarkable progress in recent years in remote sensing applications, including environmental monitoring, crisis management, city planning, and agriculture.
Sumaiya Tasneem, Kazi Aminul Islam
doaj +1 more source
How do humans perceive adversarial text? A reality check on the validity and naturalness of word-based adversarial attacks [PDF]
, 2023 peer reviewedNatural Language Processing (NLP) models based on Machine Learning (ML) are susceptible to adversarial attacks -- malicious algorithms that imperceptibly modify input text to force models into making incorrect predictions.
GHAMIZI, Salah +2 more
core
Journal of Organizational Behavior, EarlyView.ABSTRACT As organizations increasingly adopt human‐AI teams (HATs), understanding how to enhance team performance is paramount. A crucially underexplored area for supporting HATs is training, particularly helping human teammates to work with these inorganic counterparts.
Caitlin M. Lancaster +5 more
wiley +1 more source
A Comprehensive Risk Analysis Method for Adversarial Attacks on Biometric Authentication Systems
IEEE AccessRecent threats to deep learning-based biometric authentication systems stem from adversarial attacks exploiting vulnerabilities in deep learning models. While existing studies extensively analyze the risk of such attacks, they primarily focus on isolated
Seong Hee Park +4 more
doaj +1 more source