Results 121 to 130 of about 27,791 (249)

PEEL: A Poisoning-Exposing Encoding Mechanism for Local Differential Privacy

open access: yesIEEE Open Journal of the Communications Society
Local Differential Privacy (LDP) has emerged as a dominant privacy paradigm in the Internet of Things (IoT) due to its lightweight, decentralized and scalable nature.
Lisha Shuai   +5 more
doaj   +1 more source

Privacy-Preserving Conformal Prediction Under Local Differential Privacy

open access: yesCoRR
Conformal prediction (CP) provides sets of candidate classes with a guaranteed probability of containing the true class. However, it typically relies on a calibration set with clean labels. We address privacy-sensitive scenarios where the aggregator is untrusted and can only access a perturbed version of the true labels.
Coby Penso   +3 more
openaire   +3 more sources

Artificial Synaptic Device Based on Self‐Aligned c‐In2O3 TFTs With an Ultrathin MgO Interlayer

open access: yesAdvanced Materials Technologies, EarlyView.
A coplanar synaptic thin‐film transistor based on crystalline In2O3 is demonstrated using a PECVD SiO2 gate insulator and an ultrathin MgO interlayer. The MgO interlayer suppresses excessive carrier density and may facilitate proton‐related interfacial polarization, resulting in stable counterclockwise hysteresis and synaptic behavior.
Samiran Roy, Jewel Kumer Saha, Jin Jang
wiley   +1 more source

Privacy-Preserving Graph Embedding based on Local Differential Privacy

open access: yesProceedings of the 33rd ACM International Conference on Information and Knowledge Management
Graph embedding has become a powerful tool for learning latent representations of nodes in a graph. Despite its superior performance in various graph-based machine learning tasks, serious privacy concerns arise when the graph data contains personal or sensitive information.
Zening Li   +4 more
openaire   +2 more sources

Optically Active Birefringent Polymer–Lipid Hybrid Microparticles With Dual‐Stimuli Responsiveness

open access: yesAdvanced Optical Materials, EarlyView.
The present study reports on geometrically tunable, magnetic and NIR‐stimuli‐responsive anisotropic microparticles that exhibit intrinsic birefringence due to their lamellar crystalline architecture, enabling label‐free detection under a polarized light.
Burcu Okmen Altas   +2 more
wiley   +1 more source

UDPLDP-Tree: Range Queries Under User-Distinguished Personalized Local Differential Privacy

open access: yesInformation
Local Differential Privacy (LDP) and its personalized variants (PLDP) have been widely used for privacy-preserving data analytics. However, existing schemes often enforce a uniform indistinguishability level among users, failing to accommodate the ...
Dongli Deng, Sen Zhao, Meixia Miao
doaj   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

open access: yesAdvanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki   +2 more
wiley   +1 more source

Intelligent Sky Guardians (InSkyGuard): An Aerial Robotic Swarm for Autonomous Detection and Entrapment of Rogue Multirotors

open access: yesAdvanced Robotics Research, EarlyView.
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings   +6 more
wiley   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

open access: yesAdvanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao   +6 more
wiley   +1 more source

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