Results 191 to 200 of about 7,756 (262)

From Past Outbreaks to Future Threats: Detecting Medical Conspiracy Theories With LLMs and Limited Labels

Expert Systems, Volume 43, Issue 9, September 2026.
ABSTRACT Online dissemination of conspiracy theories (CTs) during epidemics poses significant risks to public health. This paper addresses the problem of detecting CTs in social media posts with an emphasis on the resource‐constrained scenarios characterized by the scarcity of labelled datasets and expert annotations, and the lack of computational ...
Ipek Baris Schlicht, Damir Korenčić, Berta Chulvi, Lucie Flek, Paolo Rosso   +4 more
wiley   +1 more source

Tailoring adversarial attacks on deep neural networks for targeted class manipulation using DeepFool algorithm. [PDF]

Sci Rep
Labib SMFR, Mondal JJ, Manab MA, Xiao X, Newaz S.   +4 more
europepmc   +1 more source

Universal adversarial attacks on deep neural networks for medical image classification. [PDF]

BMC Med Imaging, 2021
Hirano H, Minagi A, Takemoto K.
europepmc   +1 more source

War as a Phenomenon of Inquiry in Management Studies

Journal of Management Studies, Volume 63, Issue 6, Page 2363-2397, September 2026.
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

Highly Accurate Adaptive Federated Forests Based on Resistance to Adversarial Attacks in Wireless Traffic Prediction. [PDF]

Sensors (Basel)
Wang L, Pan C, Zhao H, Ji M, Wang X, Yuan J, Liu M, Jiao D.   +7 more
europepmc   +1 more source

Effective faking of verbal deception detection with target‐aligned adversarial attacks

Legal and Criminological Psychology, Volume 31, Issue 2, Page 249-272, September 2026.
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, Riccardo Loconte, Bruno Verschuere   +2 more
wiley   +1 more source

A multi-layered defense against adversarial attacks in brain tumor classification using ensemble adversarial training and feature squeezing. [PDF]

Sci Rep
Yinusa A, Faezipour M.
europepmc   +1 more source

Rethinking Political Islam in Iran: Contestation, Authority, and Reform

Middle East Policy, Volume 33, Issue 3, Autumn (Fall) 2026.
Abstract Political Islam in Iran is frequently portrayed in Western scholarship and policy discourse as a unified and rigid ideological system rooted in the 1979 Islamic Revolution. However, this article contends that it operates as a plural and internally contested field in which state‐directed, reformist‐clerical, and civic interpretations compete ...
Nagapushpa Devendra
wiley   +1 more source

Channel Attention for Fire and Smoke Detection: Impact of Augmentation, Color Spaces, and Adversarial Attacks. [PDF]

Sensors (Basel)
Ejaz U, Hamza MA, Kim HC.
europepmc   +1 more source

Ideology on Trial: How CEO Political Leanings Shape Firms' Propensity to Litigate Over Patents

R&D Management, Volume 56, Issue 4, Page 620-640, September 2026.
ABSTRACT This study investigates how CEOs' political ideology affects corporate decisions to sue for patent infringement. Integrating upper‐echelons and behavioral‐agency perspectives, we theorize that conservative‐leaning CEOs—marked by heightened threat sensitivity and low tolerance for ambiguity—frame infringement as a looming loss and therefore ...
Ali Radfard, Luca Pistilli
wiley   +1 more source