Integrating blockchain and the internet of things in precision agriculture: Analysis, opportunities, and challenges
M Torky, AE Hassanein - Computers and Electronics in Agriculture, 2020 - Elsevier
Blockchain quickly became an important technology in many applications of precision
agriculture discipline. The need to develop smart P2P systems capable of verifying …
agriculture discipline. The need to develop smart P2P systems capable of verifying …
Privacy and security in online social networks: A survey
I Kayes, A Iamnitchi - Online Social Networks and Media, 2017 - Elsevier
Online social networks (OSN) are a permanent presence in today's personal and
professional lives of a huge segment of the population, with direct consequences to offline …
professional lives of a huge segment of the population, with direct consequences to offline …
Fedrecover: Recovering from poisoning attacks in federated learning using historical information
Federated learning is vulnerable to poisoning attacks in which malicious clients poison the
global model via sending malicious model updates to the server. Existing defenses focus on …
global model via sending malicious model updates to the server. Existing defenses focus on …
Backdoor attacks to graph neural networks
In this work, we propose the first backdoor attack to graph neural networks (GNN).
Specifically, we propose a subgraph based backdoor attack to GNN for graph classification …
Specifically, we propose a subgraph based backdoor attack to GNN for graph classification …
Poisoning attacks to graph-based recommender systems
Recommender system is an important component of many web services to help users locate
items that match their interests. Several studies showed that recommender systems are …
items that match their interests. Several studies showed that recommender systems are …
Data poisoning attacks to deep learning based recommender systems
Recommender systems play a crucial role in helping users to find their interested
information in various web services such as Amazon, YouTube, and Google News. Various …
information in various web services such as Amazon, YouTube, and Google News. Various …
Graphfl: A federated learning framework for semi-supervised node classification on graphs
Graph-based semi-supervised node classification (GraphSSC) has wide applications,
ranging from networking and security to data mining and machine learning, etc. However …
ranging from networking and security to data mining and machine learning, etc. However …
Attacking graph-based classification via manipulating the graph structure
Graph-based classification methods are widely used for security analytics. Roughly
speaking, graph-based classification methods include collective classification and graph …
speaking, graph-based classification methods include collective classification and graph …
Adapting membership inference attacks to GNN for graph classification: Approaches and implications
In light of the wide application of Graph Neural Networks (GNNs), Membership Inference
Attack (MIA) against GNNs raises severe privacy concerns, where training data can be …
Attack (MIA) against GNNs raises severe privacy concerns, where training data can be …
A novel framework for detecting social bots with deep neural networks and active learning
Microblogging is a popular online social network (OSN), which facilitates users to obtain and
share news and information. Nevertheless, it is filled with a huge number of social bots that …
share news and information. Nevertheless, it is filled with a huge number of social bots that …