3 papers
cs.CR2026
Securing Deep Learning Hardware: A Survey of Side-Channel Vulnerabilities and Countermeasures
Zahra Mohammadi, Mona Hashemi, Siamak Mohammadi
As deep learning models are increasingly deployed in critical sectors such as healthcare, finance, and security, ensuring their protection against emerging threats has become cruci…
eess.SP2026
Energy-Efficient Real-Time 4-Stage Sleep Classification at 10-Second Resolution
Zahra Mohammadi, Parnian Fazel, Siamak Mohammadi
Sleep stage classification is critical for diagnosing and managing disorders like sleep apnea and insomnia. However, conventional methods like polysomnography are costly and imprac…
eess.SP2025
Using Test-Time Data Augmentation for Cross-Domain Atrial Fibrillation Detection from ECG Signals
Majid Soleimani, Maedeh H. Toosi, Siamak Mohammadi +1
Atrial fibrillation (AF) detection from electrocardiogram (ECG) signals is crucial for early diagnosis and management of cardiovascular diseases. However, deploying robust AF detec…