Recent advances in Scene Graph Generation (SGG) typically model the
rela...
Node.js provides Node.js applications with system interaction capabiliti...
Dynamic scene graphs generated from video clips could help enhance the
s...
Deep learning-based recommender systems (DRSs) are increasingly and wide...
Programmable Logic Controllers (PLCs) are the core control devices in
In...
Testing the equality of the covariance matrices of two high-dimensional
...
Discrimination has been shown in many machine learning applications, whi...
Keyword spotting (KWS) is beneficial for voice-based user interactions w...
Federated learning (FL) is a collaborative learning paradigm where
parti...
An optimization algorithm for a group of nonsmooth nonconvex problems
in...
Programmable Logic Controllers (PLCs) are responsible for automating pro...
It is known that neural networks are subject to attacks through adversar...
Deep neural networks (DNNs) have demonstrated their outperformance in va...
Fuzzing is one of the prevailing methods for vulnerability detection.
Ho...
Deep learning (DL) models, especially those large-scale and high-perform...
As deep image classification applications, e.g., face recognition, becom...
Although deep learning has demonstrated astonishing performance in many
...
The threats faced by cyber-physical systems (CPSs) in critical infrastru...
As a new programming paradigm, deep learning has expanded its applicatio...
Graph convolutional neural network provides good solutions for node
clas...
Recently, there has been a significant growth of interest in applying
so...
Neural networks are increasingly applied to support decision making in
s...
We propose a spurious region guided refinement approach for robustness
v...
The Alternating Direction Method of Multipliers (ADMM) and its distribut...
Deep neural networks (DNN) are increasingly applied in safety-critical
s...
Neural network is becoming the dominant approach for solving many real-w...
Deep neural networks (DNN) have been shown to be useful in a wide range ...
Recently, it has been shown that deep neural networks (DNN) are subject ...
Modeling and verifying real-world cyber-physical systems are challenging...