Results 131 to 140 of about 6,341 (246)
An improved genetic algorithm and its application in neural network adversarial attack. [PDF]
Yang D, Yu Z, Yuan H, Cui Y.
europepmc +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
How Resilient Are Deep Learning Models in Medical Image Analysis? The Case of the Moment-Based Adversarial Attack (Mb-AdA). [PDF]
Maliamanis TV +2 more
europepmc +1 more source
Rigid Body Adversarial Attacks
Due to their performance and simplicity, rigid body simulators are often used in applications where the objects of interest can considered very stiff. However, no material has infinite stiffness, which means there are potentially cases where the non-zero compliance of the seemingly rigid object can cause a significant difference between its ...
Aravind Ramakrishnan +2 more
openaire +2 more sources
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
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
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
Words After the Storm: Elite Rhetoric and the Limits of De‐Escalation in Postreferendum Catalonia
ABSTRACT When does a secessionist crisis end? What drives political elites to shift from hostility to moderation? This article examines the prospects of rhetorical de‐escalation in the aftermath of a secessionist dispute through the paradigmatic case of Catalonia.
Daniel Cetrà +3 more
wiley +1 more source
Dialogue of the Deaf: How Deliberation With Discontented Citizens May Hopelessly Fail
ABSTRACT Governments employ public deliberation in response to citizen discontent, intending to achieve consensus, mutual understanding, and clarification. However, some studies suggest that deliberation can devolve into a “dialogue of the deaf,” where parties talk past each other, counterproductively leading to conflict, distrust, and confusion ...
Anouk van Twist
wiley +1 more source

