Results 101 to 110 of about 17,780 (281)
Interdiction Models and Heuristics for Graph Propagation
Networks, EarlyView.ABSTRACT Given a graph G=(V,E)$$ G=\left(V,E\right) $$ and a set S⊂V$$ S\subset V $$ of activated/infected nodes, we consider the problem of determining the set of c$$ c $$ nodes that minimizes the network propagation on the subgraph that results from the removal of those c$$ c $$ nodes. To measure network propagation, we assume that a node i$$ i $$ is
Agostinho Agra, José Maria Samuco
wiley +1 more source
Preserving Semantics in Textual Adversarial Attacks
, 2023 The growth of hateful online content, or hate speech, has been associated with a global increase in violent crimes against minorities [23]. Harmful online content can be produced easily, automatically and anonymously.
Cisneros, Hugo +2 more
core +1 more source
Public Administration and Development, EarlyView.ABSTRACT This article explores the management adaptation strategies non‐governmental organizations (NGOs) managers employ in order to operate in repressive political environments. It answers the question: how do NGO managers initiate, manage and sustain internal change when the political/regulatory environment changes?
Charles Kaye‐Essien +2 more
wiley +1 more source
People and Nature, EarlyView.Abstract Managing wildfire risk requires consideration of complex and uncertain scientific evidence as well as trade‐offs between different values and goals. Conflicting perspectives on what values and goals are most important, what ought to be done and what trade‐offs are acceptable complicate those decisions.
Pele J. Cannon, Sarah Clement
wiley +1 more source
Federated learning with adversarial optimisation for secure and efficient 5G edge computing networks
With the evolution of 5G edge computing networks, privacy-aware applications are gaining significant attention due to their decentralised processing capabilities.
Jonathan White +5 more
core +1 more source
Defending Against Adversarial Attacks with Camera Image Pipelines
, 2023 Existing neural networks for computer vision tasks are vulnerable to adversarial attacks: adding imperceptible perturbations to the input images can fool these models into making a false prediction on an image that was correctly predicted without the ...
Zhang, Yuxuan
core
People and Nature, EarlyView.Abstract Local religious traditions serve as informal environmental institutions, characterized by socially embedded norms that guide behaviour without formal enforcement and influence human–environment interactions. This study investigates the role of Bonbibi worship as a system of moral regulation in the Bangladeshi Sundarbans and examines the ...
Mohammad Raqibul Hasan Siddique +1 more
wiley +1 more source
Mathematical Analysis of Adversarial Attacks
CoRR, 2018 In this paper, we analyze efficacy of the fast gradient sign method (FGSM) and the Carlini-Wagner's L2 (CW-L2) attack. We prove that, within a certain regime, the untargeted FGSM can fool any convolutional neural nets (CNNs) with ReLU activation; the targeted FGSM can mislead any CNNs with ReLU activation to classify any given image into any prescribed
Zehao Dou +2 more
openaire +2 more sources
At present the perception system of autonomous vehicles is grounded on 3D vision technologies along with deep learning to process depth information. Although deep learning models for 3D perception give promising results, recent research demonstrates that
Perera, Asanka G. +3 more
core +1 more source
Pediatric Investigation, EarlyView.Artificial intelligence (AI) offers transformative potential for paediatric diagnosis and treatment, yet implementation faces unique challenges, including data scarcity, algorithmic bias, and children's developmental physiology. This review examines current applications and charts a path toward transparent, equitable, and trustworthy AI in child health.
Ruisong Wang +3 more
wiley +1 more source