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Lower Bounds for Lattice-Based Compact Functional Encryption
Functional encryption (FE) is a primitive where the holder of a master secret key can control which functions a user can evaluate on encrypted data....
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Towards Compact Identity-Based Encryption on Ideal Lattices
Basic encryption and signature on lattices have comparable efficiency to their classical counterparts in terms of speed and key size. However,...
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Optimizing RPQs over a compact graph representation
We propose techniques to evaluate regular path queries (RPQs) over labeled graphs (e.g., RDF). We apply a bit-parallel simulation of a Glushkov...
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On the Parameterized Complexity of Compact Set Packing
The Set Packing problem is, given a collection of sets \({\mathcal S}\)...
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Spatial two-grid compact difference method for nonlinear Volterra integro-differential equation with Abel kernel
A spatial two-grid compact difference method for the nonlinear Volterra integro-differential equations with the Abel kernel is proposed to reduce the...
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A proper orthogonal decomposition-compact difference algorithm for plate vibration models
In this article, we propose a proper orthogonal decomposition-compact difference scheme (POD-CDS) for the displacement-stress form of a simply...
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Novel Arc-Cost Functions and Seed Relevance Estimations for Compact and Accurate Superpixels
On the verge of superpixel methods exploiting saliency information, the Superpixels through Iterative CLEarcutting (SICLE) framework has reported...
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Compact Selective Opening Security from LWE
Selective opening (SO) security is a security notion for public-key encryption schemes that captures security against adaptive corruptions of...
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Identity-Based Encryption from LWE with More Compact Master Public Key
This paper presents an adaptively secure identity-based encryption (IBE) scheme from Learning With Errors (LWE) in the standard model. Compared to...
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Alleviating Over-Smoothing via Aggregation over Compact Manifolds
Graph neural networks (GNNs) have achieved significant success in various applications. Most GNNs learn the node features with information...
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LaBRADOR: Compact Proofs for R1CS from Module-SIS
The most compact quantum-safe proof systems for large circuits are PCP-type systems such as Ligero, Aurora, and Shockwave, that only use weak...
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Linearly compact scheme for 2D Sobolev equation with Burgers’ type nonlinearity
In this paper, a bilinear three-point fourth-order compact operator is applied to solve the two-dimensional (2D) Sobolev equation with a Burgers’...
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CSFNet: a compact and efficient convolution-transformer hybrid vision model
The Vision Transformer (ViT) has demonstrated impressive performance in various visual tasks, but its high computational requirements limit its...
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Deep learning implementations in mining applications: a compact critical review
Deep learning is a sub-field of artificial intelligence that combines feature engineering and classification in one method. It is a data-driven...
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Compact Encoding of Reified Triples Using HDTr
Contextual information about a statement is usually represented in RDF knowledge graphs via reification: creating a fresh ‘anchor’ term that...
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A novel precisely designed compact convolutional EEG classifier for motor imagery classification
Robust classification of electroencephalogram data for motor imagery recognition is of paramount importance in brain–computer interface (BCI) domain....
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Compact input-reflectionless balanced bandpass filter with flexible bandwidth using three-line coupled structure
A compact input-reflectionless balanced bandpass filter (BPF) with flexible bandwidth (BW) using a three-line coupled structure (TLCS) is presented...
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On Sensitivity of Compact Directed Acyclic Word Graphs
Compact directed acyclic word graphs (CDAWGs) [Blumer et al. 1987] are a fundamental data structure on strings with applications in text pattern...
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High-order half-step compact numerical approximation for fourth-order parabolic PDEs
The aim of this study is to develop compact difference method to approximate parabolic PDEs of fourth order equipped with Dirichlet and Neumann...
