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ORCIDAtiye Sadat Hashemi
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2020 – today
- 2024
[c4]Atiye Sadat Hashemi
, Mirfarid Musavian Ghazani, Mattias Ohlsson, Jonas Björk, Dominik Dietler:
Surveillance of Disease Outbreaks Using Unsupervised Uni-Multivariate Anomaly Detection of Time-Series Symptoms. MIE 2024: 1916-1920- [i2]Guojun Liang, Najmeh Abiri, Atiye Sadat Hashemi, Jens Lundström, Stefan Byttner, Prayag Tiwari:
Latent Space Score-based Diffusion Model for Probabilistic Multivariate Time Series Imputation. CoRR abs/2409.08917 (2024) - 2023
- [c3]Atiye Sadat Hashemi, Kobra Etminani, Amira Soliman, Omar Hamed, Jens Lundström:
Time-series Anonymization of Tabular Health Data using Generative Adversarial Network. IJCNN 2023: 1-8 - [c2]Atiye Sadat Hashemi, Amira Soliman, Jens Lundström, Kobra Etminani:
Domain Knowledge-Driven Generation of Synthetic Healthcare Data. MIE 2023: 352-353 - [c1]Jens Lundström, Atiye Sadat Hashemi, Prayag Tiwari:
Explainable Graph Neural Networks for Atherosclerotic Cardiovascular Disease. MIE 2023: 603-604 - 2022
- [j3]Atiye Sadat Hashemi, Saeed Mozaffari, Shahpour Alirezaee:
Improving adversarial robustness of traffic sign image recognition networks. Displays 74: 102277 (2022) - 2021
- [j2]Atiye Sadat Hashemi, Saeed Mozaffari:
CNN adversarial attack mitigation using perturbed samples training. Multim. Tools Appl. 80(14): 22077-22095 (2021) - 2020
- [i1]Atiye Sadat Hashemi, Andreas Bär, Saeed Mozaffari, Tim Fingscheidt:
Transferable Universal Adversarial Perturbations Using Generative Models. CoRR abs/2010.14919 (2020)
2010 – 2019
- 2019
- [j1]Atiye Sadat Hashemi, Saeed Mozaffari:
Secure deep neural networks using adversarial image generation and training with Noise-GAN. Comput. Secur. 86: 372-387 (2019)
Coauthor Index
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