3 citations · 6 across the 3 of their papers we have counts for
3 papers
DiPSeN: Differentially Private Self-normalizing Neural Networks For Adversarial Robustness in Federated Learning
Olakunle Ibitoye, M. Omair Shafiq, Ashraf Matrawy
The need for robust, secure and private machine learning is an important goal for realizing the full potential of the Internet of Things (IoT). Federated learning has proven to hel…
A GAN-based Approach for Mitigating Inference Attacks in Smart Home Environment
Olakunle Ibitoye, Ashraf Matrawy, M. Omair Shafiq
The proliferation of smart, connected, always listening devices have introduced significant privacy risks to users in a smart home environment. Beyond the notable risk of eavesdrop…
Analyzing Adversarial Attacks Against Deep Learning for Intrusion Detection in IoT Networks
Olakunle Ibitoye, Omair Shafiq, Ashraf Matrawy
Adversarial attacks have been widely studied in the field of computer vision but their impact on network security applications remains an area of open research. As IoT, 5G and AI c…