Results 91 to 100 of about 164,354 (261)

Analysis of the Electrochemical Stability of Sulfide Solid Electrolyte Dry Films for Improved Dry‐Processed Solid‐State Batteries

open access: yesAdvanced Functional Materials, EarlyView.
An adapted processing for solvent‐free argyrodite solid electrolyte films based on insights into degradation mechanisms of the widely used binder polytetrafluoroethylene is presented. By adapting the dry film processing, long‐term cycling in Si||NMC pouch cells is demonstrated over more than 1000 cycles with a capacity retention of more than 80%, and ...
Maria Rosner   +10 more
wiley   +1 more source

Local Differential Privacy Is Not Enough: A Sample Reconstruction Attack Against Federated Learning With Local Differential Privacy

open access: yesIEEE Transactions on Information Forensics and Security
Reconstruction attacks against federated learning (FL) aim to reconstruct users' samples through users' uploaded gradients. Local differential privacy (LDP) is regarded as an effective defense against various attacks, including sample reconstruction in FL, where gradients are clipped and perturbed.
Zhichao You   +5 more
openaire   +2 more sources

OCTOID: A Soft Robotic System Featuring Programmable Shape Morphing and Dynamic Structural Coloration

open access: yesAdvanced Functional Materials, EarlyView.
Inspired by octopuses, actuating legs based on soft materials are fabricated with programmed chiroptical properties and mechanical behaviors to achieve dynamic color modulation and reversible shape morphing, and these legs are developed into a modular OCTOID system.
Seung Hui Han   +8 more
wiley   +1 more source

Multimodal Structural Color Graphics Based on Colloidal Photonic Microdome Arrays

open access: yesAdvanced Functional Materials, EarlyView.
A hybrid photonic system combining colloidal crystals and microscale domes is designed to achieve four switchable optical states via the interplay of Bragg reflection and TIR interference. The graphics composed of the photonic microdome arrays provide tunable, angle‐sensitive structural coloration and concealed‐to‐revealed transitions, offering a ...
Jun‐Gu Kang   +4 more
wiley   +1 more source

Trajectory-aware privacy-preserving method with local differential privacy in crowdsourcing

open access: yesEURASIP Journal on Information Security
In spatial crowdsourcing services, the trajectories of the workers are sent to a central server to provide more personalized services. However, for the honest-but-curious servers, it also poses a challenge in terms of potential privacy leakage of the ...
Yingcong Hong   +4 more
doaj   +1 more source

Fluorine‐Free Soft Nanocomposites for High‐Speed Liquid Impact Repellence

open access: yesAdvanced Functional Materials, EarlyView.
Fluorine‐free soft nanocomposite coatings are developed using silicone oil‐mediated mechanical‐stiffness control, enabling ‘dry’ liquid‐repellent surfaces that resist high‐speed water jet impacts up to ∼60 m/s. By tuning nanoparticle loading and oil content, the coatings also achieve >90% optical transparency, amphiphobicity with impact resistance to ...
Priya Mandal   +4 more
wiley   +1 more source

Application of Local Differential Privacy to Collection of Indoor Positioning Data

open access: yesIEEE Access, 2018
Big data, which is being explosively generated in various areas, is considered as a new growth engine for diverse industries. In recent years, analysis of big data has attracted attention because it exhibits the potential to generate high value.
Jong Wook Kim   +2 more
doaj   +1 more source

Smart Catheters for Diagnosis, Monitoring, and Therapy

open access: yesAdvanced Healthcare Materials, EarlyView.
This study presents a comprehensive review of smart catheters, an emerging class of medical devices that integrate embedded sensors, robotics, and communication systems, offering increased functionality and complexity to enable real‐time health monitoring, diagnostics, and treatment. Abstract This review explores smart catheters as an emerging class of
Azra Yaprak Tarman   +12 more
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

Home - About - Disclaimer - Privacy