Results 31 to 40 of about 22,083 (256)

GHEFL: Grouping Based on Homomorphic Encryption Validates Federated Learning

Future Internet
Federated learning is a powerful tool for securing participants’ private data due to its ability to make data “available but not visible”. In recent years, federated learning has been enhanced by the emergence of multi-weight aggregation protocols, which
Yulin Kang, Wuzheng Tan, Linlin Fan, Yinuo Chen, Xinbin Lai, Jian Weng   +5 more
doaj   +1 more source

Vernacular Futurism: How Persian Language Users Imagine AI

AI &Innovation, EarlyView.
ABSTRACT Public discourse about artificial intelligence increasingly unfolds through compressed forecasts, moral warnings, and everyday speculation circulating at platform speed. This study examines how Persian language users on X construct and contest AI futures, analyzing a corpus of 4741 posts collected between January 2023 and December 2025, with ...
Arthur Asa Berger, Ehsan Shahghasemi
wiley   +1 more source

Who Owns the Output? Authorship, Creative Labour, and Innovation Capability in Human‐AI Collaboration

AI &Innovation, EarlyView.
ABSTRACT Generative AI is radically transforming how creative authorship is understood, attributed, and governed across the world’s cultural and creative industries. As AI systems increasingly produce outputs that organisations and audiences recognise as creative, foundational assumptions about who authors creative work, who receives credit for it, and
Ololade A. Shonubi
wiley   +1 more source

Symmetric Encryption Algorithms in a Polynomial Residue Number System

Journal of Applied Mathematics
In this paper, we develop the theoretical provisions of symmetric cryptographic algorithms based on the polynomial residue number system for the first time. The main feature of the proposed approach is that when reconstructing the polynomial based on the
I. Yakymenko, M. Karpinski, R. Shevchuk, M. Kasianchuk   +3 more
doaj   +1 more source

Playing in the Dark: Invisible Chess as a Laboratory for Strategic AI

AI &Innovation, EarlyView.
This paper shows that strategic AI evaluated on perfect‐information benchmarks can be brittle in real adversarial settings. By using invisible chess as a benchmark for hidden state and deception, it argues for stricter testing, human oversight, and more cautious governance of high‐stakes AI systems.
Paolo Ciancarini
wiley   +1 more source

Manet: motion-aware network for video action recognition

Complex & Intelligent Systems
Video action recognition is a fundamental task in video understanding. Actions in videos may vary at different speeds or scales, and it is difficult to cope with a wide variety of actions by relying on a single spatio-temporal scale to extract features ...
Xiaoyang Li, Wenzhu Yang, Kanglin Wang, Tiebiao Wang, Chen Zhang   +4 more
doaj   +1 more source

Deepfake Detection Algorithm Based on Dual-Branch Data Augmentation and Modified Attention Mechanism

Applied Sciences, 2023
Mainstream deepfake detection algorithms generally fail to fully extract forgery traces and have low accuracy when detecting forged images with natural corruptions or human damage.
Da Wan, Manchun Cai, Shufan Peng, Wenkai Qin, Lanting Li   +4 more
doaj   +1 more source

Implementing Indigenous Data Sovereignty in Australia: A Five‐Phase Framework for Indigenous Data Governance

Australian Journal of Social Issues, EarlyView.
ABSTRACT This article presents the development of a five‐phase Indigenous Data Governance (IDGov) Framework in Australia, focusing on partnerships between the Aboriginal Community Controlled Health Organisation (ACCHO) sector and non‐Indigenous health entities.
Jacob Prehn, Michael A. Guerzoni, Maggie Walter, Gawaian Bodkin‐Andrews, Bobby Maher   +4 more
wiley   +1 more source

TAN: a temporal-aware attention network with context-rich representation for boosting proposal generation

Complex & Intelligent Systems
Temporal action proposal generation in an untrimmed video is very challenging, and comprehensive context exploration is critically important to generate accurate candidates of action instances. This paper proposes a Temporal-aware Attention Network (TAN)
Yanyan Jiao, Wenzhu Yang, Wenjie Xing, Shuang Zeng, Lei Geng   +4 more
doaj   +1 more source

Joint Modal Alignment and Feature Enhancement for Visible-Infrared Person Re-Identification

Sensors, 2023
Visible-infrared person re-identification aims to solve the matching problem between cross-camera and cross-modal person images. Existing methods strive to perform better cross-modal alignment, but often neglect the critical importance of feature ...
Ronghui Lin, Rong Wang, Wenjing Zhang, Ao Wu, Yihan Bi   +4 more
doaj   +1 more source