Ali Rahmati

Ali Rahmati

Ph.D. in Electrical Engineering at NC State University

Selected Projects

GeoDA: a Decision-based Adversarial Attack

GeoDA is a black-box attack framework to generate adversarial example for image classifiers. We propose a geometric framework to generate adversarial examples in one of the most challenging black-box settings where the adversary can only generate a small number of queries, each of them returning the top-1 label of the classifier.

A. Rahmati, S. M. Moosavi-Dezfooli, P. Frossard, and H. Dai, “A geometric framework for black-box adversarial attacks”, in CVF/IEEE Computer Vision and Pattern Recognition (CVPR’20), Seattle, WA, 2020. [CVF Open Access], [arXiv], [Code]

Interference Avoidance Trajectory Design for UAVs

Using our proposed scheme, the UAVs can effectively reconfigure their positions to avoid the interference and improve the data flow from the source(s) to the destination(s).



A. Rahmati, X. He, I. Guvenc, and H. Dai, “Dynamic Mobility-Aware Interference Avoidance for Aerial Base Stations in Cognitive Radio Networks”, in Proc. IEEE INFOCOM, May 2019. [IEEE Xplore]