Privacy-preserving cyberthreat detection in decentralized social media with federated cross-modal graph transformers. [PDF]
Premkumar D, Nachimuthu SK.
europepmc +1 more source
“I Wish I Had Better Answers”: Organizational Ignorance in US Criminal Courts
ABSTRACT Systems of monetary sanctions in US criminal courts present an opportunity for furthering the sociological understanding of complex and consequential organizations. We examine whether and how court actors across eight states understand the organizational processes supporting the fiscal logic of legal financial obligations (LFOs).
Sarah K. S. Shannon +3 more
wiley +1 more source
Enhancing DNN Adversarial Robustness via Dual Stochasticity and Geometric Normalization. [PDF]
Wu X, Han G.
europepmc +1 more source
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang +3 more
wiley +1 more source
Blockchain-enabled identity management for IoT: a multi-layered defense against adversarial AI. [PDF]
Usama M +5 more
europepmc +1 more source
Impact of Shooting Distance on Oculomotor Strategy in Basketball Shooting
ABSTRACT The purpose of this study was to examine the role of eye movements during basketball shooting from various distances. Fourteen male basketball players, equipped with an eye tracker and an inertial sensor, performed 40 shots on a basketball court, divided into free throws and 3‐point shots.
Alessandro Piras
wiley +1 more source
Evaluating gait system vulnerabilities through PPO and GAN-generated adversarial attacks. [PDF]
Saoudi EM, Jaafari J, Jai Andaloussi S.
europepmc +1 more source
Exploring adversarial attacks and defenses
Deep Learning classifiers are capable of an outstanding performance. Yet, they are vulnera ble to adversarial attacks, i.e. it is possible to craft a slightly modified version of a correctly classified image that, although its contents are still clearly recognisable to a human being, the classifier outputs an incorrect classification. In this thesis we
openaire +1 more source
Efficient Kilometer‐Scale Precipitation Downscaling With Conditional Wavelet Diffusion
Abstract Precipitation products such as Integrated Multi‐satellitE Retrievals have coarse resolution (∼10 ${\sim} 10$ km), which limits their application in hydrological modeling and extreme weather analysis. We propose the Wavelet Diffusion Model (WDM), a fast generative framework for high‐quality precipitation downscaling trained on multi‐radar multi‐
Chugang Yi +4 more
wiley +1 more source
PromptGuard a structured framework for injection resilient language models. [PDF]
Alzahrani A.
europepmc +1 more source

