research
∙
05/04/2023
Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel Estimation in 5G Networks
With the rise of intelligent applications, such as self-driving cars and...
share
research
∙
04/19/2023
5G-SRNG: 5G Spectrogram-based Random Number Generation for Devices with Low Entropy Sources
Random number generation (RNG) is a crucial element in security protocol...
research
∙
12/05/2022
Anomaly Detection in Power Markets and Systems
The widespread use of information and communication technology (ICT) ove...
research
∙
09/27/2022
Mitigating Attacks on Artificial Intelligence-based Spectrum Sensing for Cellular Network Signals
Cellular networks (LTE, 5G, and beyond) are dramatically growing with hi...
research
∙
09/21/2022
Hybrid AI-based Anomaly Detection Model using Phasor Measurement Unit Data
Over the last few decades, extensive use of information and communicatio...
research
∙
08/12/2022
Defensive Distillation based Adversarial Attacks Mitigation Method for Channel Estimation using Deep Learning Models in Next-Generation Wireless Networks
Future wireless networks (5G and beyond) are the vision of forthcoming c...
research
∙
04/16/2022
Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case
Medical data is often highly sensitive in terms of data privacy and secu...
research
∙
02/16/2022
The Adversarial Security Mitigations of mmWave Beamforming Prediction Models using Defensive Distillation and Adversarial Retraining
The design of a security scheme for beamforming prediction is critical f...
research
∙
02/15/2022
Unreasonable Effectiveness of Last Hidden Layer Activations
In standard Deep Neural Network (DNN) based classifiers, the general con...
research
∙
09/29/2021
Secure Multi-Party Computation based Privacy Preserving Data Analysis in Healthcare IoT Systems
Recently, many innovations have been experienced in healthcare by rapidl...
research
∙
07/11/2021
Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous Driving
Object detection in autonomous cars is commonly based on camera images a...
research
∙
05/09/2021
Security Concerns on Machine Learning Solutions for 6G Networks in mmWave Beam Prediction
6G – sixth generation – is the latest cellular technology currently unde...
research
∙
03/12/2021
Adversarial Machine Learning Security Problems for 6G: mmWave Beam Prediction Use-Case
6G is the next generation for the communication systems. In recent years...
research
∙
02/08/2021
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples
Deep neural network architectures are considered to be robust to random ...
research
∙
01/19/2021
Internet of Predictable Things (IoPT) Framework to Increase Cyber-Physical System Resiliency
During the last two decades, distributed energy systems, especially rene...
research
∙
12/11/2020
Closeness and Uncertainty Aware Adversarial Examples Detection in Adversarial Machine Learning
Deep neural network (DNN) architectures are considered to be robust to r...
research
∙
10/05/2020
Data Augmentation Based Malware Detection using Convolutional Neural Networks
Recently, cyber-attacks have been extensively seen due to the everlastin...
research
∙
05/06/2019
