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Generating Textual Adversarial Examples for Deep Learning Models: A Survey
With the development of high computational devices, deep neural networks (DNNs), in recent years, have gained significant popularity in many Artificial Intelligence (AI) applications. However,Expand
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Adversarial Attacks on Deep-learning Models in Natural Language Processing
With the development of high computational devices, deep neural networks (DNNs), in recent years, have gained significant popularity in many Artificial Intelligence (AI) applications. However,Expand
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Software-Defined Heterogeneous Vehicular Networking: The Architectural Design and Open Challenges
The promising advancements in the telecommunications and automotive sectors over the years have empowered drivers with highly innovative communication and sensing capabilities, in turn paving the wayExpand
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Learning-based SPARQL query performance modeling and prediction
One of the challenges of managing an RDF database is predicting performance of SPARQL queries before they are executed. Performance characteristics, such as the execution time and memory usage, canExpand
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IoT Device Identification via Network-Flow Based Fingerprinting and Learning
Nowadays, increasing number of intelligent devices and smart sensors are connected by Internet of Things (IoT) techniques, and have helped people to manage and improve their lives. However, securityExpand
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Collaborative Location Recommendation by Integrating Multi-dimensional Contextual Information
Point-of-Interest (POI) recommendation is a new type of recommendation task that comes along with the prevalence of location-based social networks and services in recent years. Compared withExpand
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Searching for the Internet of Things on the Web: Where It Is and What It Looks Like
The Internet of Things (IoT), in general, is a compelling paradigm that aims to connect everyday objects to the Internet. Nowadays, IoT is considered as one of the main technologies which contributeExpand
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SIEF: Efficiently Answering Distance Queries for Failure Prone Graphs
Shortest path computation is one of the most fundamental operations for managing and analyzing graphs. A number of methods have been proposed to answer shortest path distance queries on staticExpand
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Different Approaches for Human Activity Recognition: A Survey
Human activity recognition has gained importance in recent years due to its applications in various fields such as health, security and surveillance, entertainment, and intelligent environments. AExpand
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SECF: improving SPARQL querying performance with proactive fetching and caching
Querying on SPARQL endpoints may be unsatisfactory due to high latency of connections to the endpoints. Caching is an important way to accelerate the query response speed. In this paper, we proposeExpand
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