CRS-FL: Conditional Random Sampling for Communication-Efficient and Privacy-Preserving Federated Learning

no code implementations • 1 Jun 2023 • Jianhua Wang, Xiaolin Chang, Jelena Mišić, Vojislav B. Mišić, Lin Li, Yingying Yao

Federated Learning (FL), a privacy-oriented distributed ML paradigm, is being gaining great interest in Internet of Things because of its capability to protect participants data privacy.

Federated Learning Privacy Preserving

Android Malware Detection using Feature Ranking of Permissions

no code implementations • 20 Jan 2022 • Muhammad Suleman Saleem, Jelena Mišić, Vojislav B. Mišić

We investigate the use of Android permissions as the vehicle to allow for quick and effective differentiation between benign and malware apps.

Android Malware Detection Malware Detection

IWA: Integrated Gradient based White-box Attacks for Fooling Deep Neural Networks

no code implementations • 3 Feb 2021 • Yixiang Wang, Jiqiang Liu, Xiaolin Chang, Jelena Mišić, Vojislav B. Mišić

To further make the perturbations more imperceptible, we propose to employ the restriction combination of $L_0$ and $L_1/L_2$ secondly, which can restrict the total perturbations and perturbation points simultaneously.

DNN Testing