Results 171 to 180 of about 12,832 (282)
Adaptive Perturbation for Adversarial Attack
In recent years, the security of deep learning models achieves more and more attentions with the rapid development of neural networks, which are vulnerable to adversarial examples. Almost all existing gradient-based attack methods use the sign function in the generation to meet the requirement of perturbation budget on $L_\infty$ norm. However, we find
Zheng Yuan 0005 +4 more
openaire +3 more sources
Abstract Strategic and security considerations have become increasingly prominent in trade policy debates, fuelling both liberal and protectionist arguments. However, the extent to which this geopoliticization influences legislative trade attitudes in the European Parliament (EP) remains underexplored.
Lorane Visart
wiley +1 more source
Post‐Divorce LGBTQ‐Parent Families: Navigating Loyalty Conflicts and Stepfamily Closeting
ABSTRACT Objective The purpose of this study was to investigate underexplored dynamics of post‐divorce LGBTQ‐parent families. Background In LGBTQ‐parent families in which children were conceived in the context of a prior different‐gender partnership, children experience the coinciding events of parental separation and a parent's coming out as LGBTQ. In
Caroline Sanner +2 more
wiley +1 more source
Multi-agent patrolling under uncertainty and threats
We investigate a multi-agent patrolling problem in large stochasticenvironments where information is distributed alongside threats. The informationand threat at each location are respectively modelled as a multi-state Markovchain, whose states are not ...
Chen Shaofei +9 more
core +1 more source
War as a Phenomenon of Inquiry in Management Studies
Abstract We argue that war as a phenomenon deserves more focused attention in management. First, we highlight why war is an important and relevant area of inquiry for management scholars. We then integrate scattered conversations on war in management studies into a framework structured around three building blocks – (a) the nature of war from an ...
Fabrice Lumineau, Arne Keller
wiley +1 more source
Automatic modulation classification models based on deep learning models are at risk of being interfered by adversarial attacks. In an adversarial attack, the attacker causes the classification model to misclassify the received signal by adding carefully
Fanghao Xu +5 more
doaj +1 more source
Abstract This study investigates how small and medium‐sized enterprises (SMEs) respond to deglobalization and economic nationalism, using historical evidence from fascist Italy, a period of autarky and restricted international trade. While prior research has focused primarily on larger firms, especially multinational enterprises (MNEs), the strategic ...
Valeria Giacomin, Francesco Romagnoli
wiley +1 more source
Abstract Recruitment research has traditionally focused on how positive signals about organizations influence job seekers' perceptions and attraction to them, despite the fact that job seekers often encounter a mix of positive and negative information about prospective employers.
Keyan Lai, Kristina Potočnik
wiley +1 more source
Effective faking of verbal deception detection with target‐aligned adversarial attacks
Abstract Background Deception detection through analysing language is a promising avenue using both human judgements and automated machine learning judgements. For both forms of credibility assessment, automated adversarial attacks that rewrite deceptive statements to appear truthful pose a serious threat.
Bennett Kleinberg +2 more
wiley +1 more source
James Lyman Merrick's Aborted “Mission to the Mohammedans of Persia”
Abstract James Lyman Merrick (1803‐1866) served as a missionary of the American Board of Commissioners for Foreign Missions (ABCFM) in Persia between 1835 and 1845. He was America's first missionary to the Muslim world. Based on his field research on the Persians’ religious beliefs, he correctly predicted that the conversion of Persia's Muslims into ...
Hooman Estelami
wiley +1 more source

