Results 91 to 100 of about 391 (240)

Dynamic searchable symmetric encryption

, 2015
The subject of this thesis is "Dynamic Searchable Symmetric Encryption" (DSSE). DSSE is one of the solutions that can be used for implementations of searchable encryption schemes. Searchable encryption allows a client to outsource the storage of its encrypted data to a server, while maintaining the ability to search over the data without downloading it.
openaire   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

EVMK-SSE: Efficient and Verifiable Multi-Keyword SSE from client-independent relaxed OPRF for outsourced database in cloud

Journal of King Saud University: Computer and Information Sciences
Symmetric searchable encryption (SSE) is a foundational technology that enables privacy-preserving queries of encrypted data stored on untrusted cloud servers.
Huihui Zhu, Fei Tang, Wenyu Qin, Jinyong Shan, Ping Wang, Artur Iasenovets   +5 more
doaj   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

gnSPADE: Incorporating Gene Network Structures Enhances Reference‐Free Deconvolution in Spatial Transcriptomics

Advanced Intelligent Systems, EarlyView.
gnSPADE integrates gene‐network structures into a probabilistic topic modeling framework to achieve reference‐free cell‐type deconvolution in spatial transcriptomics. By embedding gene connectivity within the generative process, gnSPADE enhances biological interpretability and accuracy across simulated and real datasets, revealing spatial organization ...
Aoqi Xie, Yuehua Cui
wiley   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

Quantifying Security in Volume-Hiding Searchable Symmetric Encryption Schemes With a Novel Scoring Metric

IEEE Access
Size pattern leakage remains a critical issue in oblivious RAM (ORAM)-based Searchable Symmetric Encryption (SSE) schemes. Despite efforts to define security notions against size pattern leakage, existing studies either overly restrict analysis by ...
Kangmo Ahn, Chaewon Kwak, Dongyoung Koo, Changhee Hahn, Junbeom Hur   +4 more
doaj   +1 more source

Searchable Symmetric Encryption and its applications

, 2022
In the age of personalized advertisement and online identity profiles, people’s personal information is worth more to corporations than ever. Storing data in the cloud is increasing in popularity due to bigger file sizes and people just storing more information digitally.
openaire   +1 more source

Enabling Stochastic Dynamic Games for Robotic Swarms

Advanced Intelligent Systems, EarlyView.
This paper scales stochastic dynamic games to large swarms of robots through selective agent modeling and variable partial belief space planning. We formulate these games using a belief space variant of iterative Linear Quadratic Gaussian (iLQG). We scale to teams of 50 agents through selective modeling based on the estimated influence of agents ...
Kamran Vakil, Alyssa Pierson
wiley   +1 more source