Results 221 to 230 of about 4,416 (262)
Abstract On February 28, 2026, a major regional war broke out involving the United States, Israel, and Iran. While the theory of structural realism considers this conflict the product of shifting power dynamics, this article argues that it is better explained by what we term diversionary rhetorical entrapment.
Bulent Aras
wiley +1 more source
Learning turbulent flows with generative models for super resolution and sparse flow reconstruction. [PDF]
Oommen V +4 more
europepmc +1 more source
Rethinking Political Islam in Iran: Contestation, Authority, and Reform
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
Blockchain-enabled identity management for IoT: a multi-layered defense against adversarial AI. [PDF]
Usama M +5 more
europepmc +1 more source
Risk, Overlap, and Two Forms of Aggregation
ABSTRACT In this paper, we introduce a new class of cases to the debate on rescue dilemmas and whether to save the greater number. We argue that situations involving both risk and overlap shine a new light on some of the most important issues within this discussion.
Lukas Tank +2 more
wiley +1 more source
Remote medical system driven by medical big models: Dynamic defense model for network security threats. [PDF]
Weng Z, Hu Y, Gu D, Wang Z, Guo Y.
europepmc +1 more source
Ensuring the integrity of AI models: a blockchain-based approach for protecting medical imaging training data. [PDF]
Shinde R, Patil S, Kotecha K, Mishra S.
europepmc +1 more source
Prompt injection attacks on educational large language models for higher and vocational education. [PDF]
Cai Y.
europepmc +1 more source
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Variational Adversarial Defense: A Bayes Perspective for Adversarial Training
IEEE Transactions on Pattern Analysis and Machine IntelligenceVarious methods have been proposed to defend against adversarial attacks. However, there is a lack of enough theoretical guarantee of the performance, thus leading to two problems: First, deficiency of necessary adversarial training samples might attenuate the normal gradient's back-propagation, which leads to overfitting and gradient masking ...
Chenglong Zhao +5 more
openaire +3 more sources

