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Atiye Sadat Hashemi
Atiye Sadat Hashemi
Lund University
Bestätigte E-Mail-Adresse bei med.lu.se
Titel
Zitiert von
Zitiert von
Jahr
Deep neural networks and data for automated driving: Robustness, uncertainty quantification, and insights towards safety
T Fingscheidt, H Gottschalk, S Houben
Springer Nature, 2022
222022
Secure deep neural networks using adversarial image generation and training with Noise-GAN
AS Hashemi, S Mozaffari
Computers & Security 86, 372-387, 2019
222019
Transferable universal adversarial perturbations using generative models
AS Hashemi, A Bär, S Mozaffari, T Fingscheidt
arXiv preprint arXiv:2010.14919, 2020
182020
CNN adversarial attack mitigation using perturbed samples training
AS Hashemi, S Mozaffari
Multimedia Tools and Applications 80, 22077-22095, 2021
132021
Improving adversarial robustness of traffic sign image recognition networks
AS Hashemi, S Mozaffari, S Alirezaee
Displays 74, 102277, 2022
112022
Improving transferability of generated universal adversarial perturbations for image classification and segmentation
AS Hashemi, A Bär, S Mozaffari, T Fingscheidt
Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty …, 2022
82022
Time-series Anonymization of Tabular Health Data using Generative Adversarial Network
AS Hashemi, K Etminani, A Soliman, O Hamed, J Lundström
2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023
22023
Domain Knowledge-Driven Generation of Synthetic Healthcare Data
AS Hashemi, A Soliman, J Lundström, K Etminani
The 33rd Medical Informatics Europe Conference, MIE2023, Gothenburg, Sweden …, 2023
12023
Transitioning from Data to Patient Benefit: A Use-Case
J Lundström, AS Hashemi, A Soliman, L Wandel, S Alawadi, K Etminani
Vitalis and Medical Informatics Europe, 2023
2023
Explainable Graph Neural Networks for Atherosclerotic Cardiovascular Disease
J Lundström, AS Hashemi, P Tiwari
33rd Medical Informatics Europe Conference: Caring is Sharing-Exploiting the …, 2023
2023
Transferable Universal Adversarial Perturbations Using Generative Models
A Sadat Hashemi, A Bär, S Mozaffari, T Fingscheidt
arXiv e-prints, arXiv: 2010.14919, 2020
2020
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