research
∙
04/27/2023
Detecting inner-LAN anomalies using hierarchical forecasting
Increasing activity and the number of devices online are leading to incr...
share
research
∙
04/02/2023
Instance-level Trojan Attacks on Visual Question Answering via Adversarial Learning in Neuron Activation Space
Malicious perturbations embedded in input data, known as Trojan attacks,...
research
∙
11/07/2022
Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning Attacks
Wireless ad hoc federated learning (WAFL) is a fully decentralized colla...
research
∙
08/24/2022
UniCon: Unidirectional Split Learning with Contrastive Loss for Visual Question Answering
Visual question answering (VQA) that leverages multi-modality data has a...
research
∙
05/24/2022
Wireless Ad Hoc Federated Learning: A Fully Distributed Cooperative Machine Learning
Federated learning has allowed training of a global model by aggregating...
research
∙
04/14/2022
Detecting Anomalous LAN Activities under Differential Privacy
Anomaly detection has emerged as a popular technique for detecting malic...
research
∙
03/22/2022
Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error Analysis
Model poisoning attacks on federated learning (FL) intrude in the entire...
research
∙
12/03/2021
MAC address randomization tolerant crowd monitoring system using Wi-Fi packets
Media access control (MAC) addresses inside Wi-Fi packets can be used fo...
research
∙
11/02/2021
Misbehavior Detection Using Collective Perception under Privacy Considerations
In cooperative ITS, security and privacy protection are essential. Coope...
research
∙
10/12/2021
Privacy-Preserving Phishing Email Detection Based on Federated Learning and LSTM
Phishing emails that appear legitimate lure people into clicking on the ...
research
∙
10/11/2021
Homogeneous Learning: Self-Attention Decentralized Deep Learning
Federated learning (FL) has been facilitating privacy-preserving deep le...
research
∙
08/20/2021
Suspicious ARP Activity Detection and Clustering Based on Autoencoder Neural Networks
The rapidly increasing number of smart devices on the Internet necessita...
research
∙
08/10/2021
Roadside-assisted Cooperative Planning using Future Path Sharing for Autonomous Driving
Cooperative intelligent transportation systems (ITS) are used by autonom...
research
∙
08/02/2021
Information Stealing in Federated Learning Systems Based on Generative Adversarial Networks
An attack on deep learning systems where intelligent machines collaborat...
research
∙
07/30/2021
Decentralized Deep Learning for Mobile Edge Computing: A Survey on Communication Efficiency and Trustworthiness
A wider coverage and a better solution to latency reduction in 5G necess...
research
∙
05/06/2021
