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ORCIDSanaz R. Mousavi
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2020 – today
- 2025
[c3]Tamonash Bhattacharyya, Farshad Firouzi, Amir M. Rahmani, Sanaz Rahimi Mousavi, Krishnendu Chakrabarty:
AGILE: A Multi-Task Contrastive Learning Framework with Adversarial Gradient Iterative Learning for Bio-Signal Anonymization. BSN 2025: 1-4- [c2]Aniruddha Datta, Tamonash Bhattacharyya, Elahe Khatibi, Agasthya Seth, Ziyu Wang, Sanaz R. Mousavi, Amir M. Rahmani, Farshad Firouzi, Krishnendu Chakrabarty:
REACT: REinforcement Learning-Based Adaptive ECG Anonymization and Privacy Threat Mitigation*. COINS 2025: 1-8 - [i3]Ziyu Wang, Elahe Khatibi, Kianoosh Kazemi, Iman Azimi, Sanaz R. Mousavi, Shaista Malik, Amir M. Rahmani:
TransECG: Leveraging Transformers for Explainable ECG Re-identification Risk Analysis. CoRR abs/2503.13495 (2025) - [i2]Ziyu Wang, Elahe Khatibi, Farshad Firouzi, Sanaz R. Mousavi, Krishnendu Chakrabarty, Amir M. Rahmani:
Linkage Attacks Expose Identity Risks in Public ECG Data Sharing. CoRR abs/2508.15850 (2025) - 2024
- [c1]Ziyu Wang, Anil Kanduri, Seyed Amir Hossein Aqajari, Salar Jafarlou, Sanaz R. Mousavi, Pasi Liljeberg, Shaista Malik, Amir M. Rahmani:
ECG Unveiled: Analysis of Client Re-Identification Risks in Real-World ECG Datasets. BSN 2024: 1-4 - [i1]Ziyu Wang, Anil Kanduri, Seyed Amir Hossein Aqajari, Salar Jafarlou, Sanaz R. Mousavi, Pasi Liljeberg, Shaista Malik, Amir M. Rahmani:
ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG Datasets. CoRR abs/2408.10228 (2024)
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