BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion Attacks. - Hamed Poursiami; Ihsen Alouani; Maryam Parsa (ICMLA, 2024)

Watermarking Neuromorphic Brains: Intellectual Property Protection in Spiking Neural Networks. - Hamed Poursiami; Ihsen Alouani; Maryam Parsa (ICONS, 2024)

On Multi-Task Learning for Energy Efficient Task Offloading in Multi-UAV Assisted Edge Computing. - Hamed Poursiami; Bijan Jabbari (WCNC, 2024)

Do Spikes Protect Privacy? Investigating Black-Box Model Inversion Attacks in Spiking Neural Networks. - Hamed Poursiami; Ayana Moshruba; Maryam Parsa (CoRR, 2025)

On the Privacy-Preserving Properties of Spiking Neural Networks with Unique Surrogate Gradients and Quantization Levels. - Ayana Moshruba; Shay Snyder; Hamed Poursiami; Maryam Parsa (CoRR, 2025)

Izhikevich-Inspired Temporal Dynamics for Enhancing Privacy, Efficiency, and Transferability in Spiking Neural Networks. - Ayana Moshruba; Hamed Poursiami; Maryam Parsa (CoRR, 2025)