Results 201 to 210 of about 17,780 (281)

Transferability of features for neural networks links to adversarial attacks and defences. [PDF]

PLoS One, 2022
Kotyan S, Matsuki M, Vargas DV.
europepmc   +1 more source

Rethinking adversarial attacks on neuromorphic models

Spiking neural networks (SNN) are biologically inspired artificial neural networks that emulate the behaviour of biological neurons in spiking-based computational units.
Aji, Soukaina, Boulet, Pierre, Alouani, Ihsen; id_orcid, Bouassida, Mohamed   +3 more
core   +1 more source

From Friends to Foes? Negative Campaign Tactics on Facebook and Their Effects on User Engagement Across Three National Elections in Sweden (2014–2022)

Scandinavian Political Studies, Volume 49, Issue 3, August 2026.
ABSTRACT Research has documented an increase in the use of negative campaign strategies during election campaigns worldwide. This study contributes to the literature by offering a longitudinal analysis of how negative statements and moral scandalization strategies by Swedish political parties on Facebook have evolved over time, and whether they ...
Andreas Widholm, Mattias Ekman, Walid Al‐Saqaf   +2 more
wiley   +1 more source

Momentum-Based Adversarial Attacks and Multi-Level Denoising Defenses in Deep Learning-Based Wind Power Forecasting. [PDF]

Sensors (Basel)
Min Y, Jiang C, Yang K, Wen X, Chen K.
europepmc   +1 more source

A Novel Steganography Method for Character-Level Text Image Based on Adversarial Attacks. [PDF]

Sensors (Basel), 2022
Ding K, Hu T, Niu W, Liu X, He J, Yin M, Zhang X.   +6 more
europepmc   +1 more source

An Affective‐Political Theorizing of Backlash to Diversity, Equity, and Inclusion (DEI) in Higher Education

Educational Theory, Volume 76, Issue 4, Page 486-505, August 2026.
Abstract In recent years, diversity, equity, and inclusion (DEI) initiatives in higher education have become the focal point of intense political and academic contestation. While these developments are frequently described as a “backlash,” the concept of backlash itself has rarely been theorized in education.
Michalinos Zembylas
wiley   +1 more source

Adversarial attacks dataset for low light image enhancement. [PDF]

Data Brief
Martinez A, Olague M, Olague G, Hernandez E, Lopez-Arredondo JC.   +4 more
europepmc   +1 more source

Small Language Models: A Systematic Review of Computational Trade‐Offs, Privacy Advantages and Deployment in Intelligent Systems

Expert Systems, Volume 43, Issue 8, August 2026.
ABSTRACT This systematic review synthesizes evidence from 68 studies, including peer‐reviewed journal articles, indexed conference/workshop proceedings and five remaining arXiv preprints published between 2022 and 2025, on small language models (SLMs) as computationally efficient alternatives to large language models (LLMs).
Sena Dikici, Turgay Tugay Bilgin
wiley   +1 more source

A comprehensive survey of deep face verification systems adversarial attacks and defense strategies. [PDF]

Sci Rep
Kilany S, Mahfouz A.
europepmc   +1 more source

Towards Robustifying Image Classifiers against the Perils of Adversarial Attacks on Artificial Intelligence Systems. [PDF]

Sensors (Basel), 2022
Anastasiou T, Karagiorgou S, Petrou P, Papamartzivanos D, Giannetsos T, Tsirigotaki G, Keizer J.   +6 more
europepmc   +1 more source