Secure deep neural networks using adversarial image generation and training with Noise-GAN. - Atiye Sadat Hashemi; Saeed Mozaffari (Comput. Secur., 2019)

Transferable Universal Adversarial Perturbations Using Generative Models. - Atiye Sadat Hashemi; Andreas Bär; Saeed Mozaffari; Tim Fingscheidt (CoRR, 2020)

CNN adversarial attack mitigation using perturbed samples training. - Atiye Sadat Hashemi; Saeed Mozaffari (Multim. Tools Appl., 2021)

Improving adversarial robustness of traffic sign image recognition networks. - Atiye Sadat Hashemi; Saeed Mozaffari; Shahpour Alirezaee (Displays, 2022)

Time-series Anonymization of Tabular Health Data using Generative Adversarial Network. - Atiye Sadat Hashemi; Kobra Etminani; Amira Soliman 002; Omar Hamed; Jens Lundström (IJCNN, 2023)

Domain Knowledge-Driven Generation of Synthetic Healthcare Data. - Atiye Sadat Hashemi; Amira Soliman 002; Jens Lundström; Kobra Etminani (MIE, 2023)

Explainable Graph Neural Networks for Atherosclerotic Cardiovascular Disease. - Jens Lundström; Atiye Sadat Hashemi; Prayag Tiwari (MIE, 2023)

Surveillance of Disease Outbreaks Using Unsupervised Uni-Multivariate Anomaly Detection of Time-Series Symptoms. - Atiye Sadat Hashemi; Mirfarid Musavian Ghazani; Mattias Ohlsson; Jonas Björk; Dominik Dietler (MIE, 2024)

Latent Space Score-based Diffusion Model for Probabilistic Multivariate Time Series Imputation. - Guojun Liang; Najmeh Abiri; Atiye Sadat Hashemi; Jens Lundström; Stefan Byttner; Prayag Tiwari (ICASSP, 2025)