Major Cybersecurity Breaches: Shaping Corporate Cybersecurity Policies and Closing the Gaps
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
Momentum-Based Adversarial Attacks and Multi-Level Denoising Defenses in Deep Learning-Based Wind Power Forecasting. [PDF]
Min Y, Jiang C, Yang K, Wen X, Chen K.
europepmc +1 more source
Crafting Adversarial Examples using Particle Swarm Optimization
Rayan Mosli
openalex +1 more source
Stealing the Invisible: Unveiling Pre-Trained CNN Models through Adversarial Examples and Timing Side-Channels [PDF]
Shubhi Shukla +3 more
openalex +1 more source
FP-ZOO: Fast Patch-Based Zeroth Order Optimization for Black-Box Adversarial Attacks on Vision Models. [PDF]
Seo J, Jeon S.
europepmc +1 more source
ABSTRACT Background Magnetic Resonance Fingerprinting (MRF) enables rapid quantitative parameter mapping from which synthetic clinical contrast images can be derived using deep learning (DL). Purpose This study evaluates the reliability and interchangeability of MRF‐derived synthetic knee MRI relative to conventional MRI in patients with osteoarthritis.
Mika T. Nevalainen +9 more
wiley +1 more source
Multimodal Sentiment and Emotion Analysis Framework for Personalized Health Coaching Messages: Proof-of-Concept Study. [PDF]
Md Zuki MA, Mohamad Ali N, Chaw JK.
europepmc +1 more source
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 deep learning framework for remaining useful life prediction of turbofan engines with partial sensor failure. [PDF]
Tang D.
europepmc +1 more source
The Ultimate Combo: Boosting Adversarial Example Transferability by Composing Data Augmentations
Zebin Yun +3 more
openalex +1 more source

