Results 211 to 220 of about 5,380,268 (331)
ABSTRACT This paper examines the relationship between industrial robotics adoption and ecological capacity, measured by biocapacity, using panel data from 50 countries over the period 2000–2024. We investigate the transmission mechanisms, non‐linearities, spatial spillovers, and heterogeneity characterizing this relationship.
Brahim Bergougui +1 more
wiley +1 more source
ABSTRACT In an era of rising geopolitical tensions and environmental instability, corporate political activities have become increasingly intertwined with ethical challenges and sustainability requirements. This study investigates the influence of environmental dynamics and corporate ethical responsibility on interorganizational conflict and ...
David Yulong Liu +4 more
wiley +1 more source
Cross-representation transferable adversarial examples generation for audio classification
Adversarial examples have been used as an important tool for detecting vulnerabilities in deep neural networks. The unique property of transferability enables them to deceive black-box deep neural network models.
TIAN Zilin +3 more
doaj
Adversarial examples generation for deep neural networks
Machine learning models exhibit vulnerability to adversarial examples i.e., artificially created inputs that become misinterpreted. The goal of this work is to explore black-box adversarial attacks on deep networks performing image classification.
Procházka, Štěpán
core
Applying the Rules of Evidence to Expert Testimony About Risk
ABSTRACT Expert opinion about dangerousness or risk is common at sentencing, criminal commitment proceedings and some types of pretrial detention hearings. This article argues that such evidence must be (1) “material” (logically relevant, empirically generalizable, and epistemologically germane), (2) “probative” (a measure of accuracy, which is ...
Christopher Slobogin
wiley +1 more source
DeDiAttack: Enhancing Transferability of Unrestricted Adversarial Examples via Deformation-Constrained Diffusion. [PDF]
Qu B, Peng A, Zhao S.
europepmc +1 more source
Adversarial Examples Detection with Bayesian Neural Network
In this paper, we propose a new framework to detect adversarial examples motivated by the observations that random components can improve the smoothness of predictors and make it easier to simulate the output distribution of a deep neural network.
Lee, Thomas C. M. +3 more
core
On relating explanations and adversarial examples
The importance of explanations (XP's) of machine learning (ML) model predictions and of adversarial examples (AE's) cannot be overstated, with both arguably being essential for the practical success of ML in different settings. There has been recent work
Ignatiev, Alexey +2 more
core
Structure‐Function Tailoring of Plasmonic Nanomaterials for Thin‐Film Photovoltaics
This review discusses the mechanisms and recent advancements of plasmonics in achieving effective light management to enhance the performance of thin‐film solar cells. It highlights applications in high‐performance perovskite solar cells and future‐oriented tandem solar cells.
Sen Jiang +14 more
wiley +1 more source
Generating imperceptible adversarial examples via low-frequency aware transfer attacks on battery management systems. [PDF]
Min K +5 more
europepmc +1 more source

