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Are Neuromorphic Architectures Inherently Privacy-preserving? An Exploratory Study

Are Neuromorphic Architectures Inherently Privacy-preserving? An Exploratory Study

24 February 2025
Ayana Moshruba
Ihsen Alouani
Maryam Parsa
    AAML
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Papers citing "Are Neuromorphic Architectures Inherently Privacy-preserving? An Exploratory Study"

2 / 2 papers shown
Title
Izhikevich-Inspired Temporal Dynamics for Enhancing Privacy, Efficiency, and Transferability in Spiking Neural Networks
Izhikevich-Inspired Temporal Dynamics for Enhancing Privacy, Efficiency, and Transferability in Spiking Neural Networks
Ayana Moshruba
Hamed Poursiami
Maryam Parsa
23
0
0
07 May 2025
On the Privacy-Preserving Properties of Spiking Neural Networks with Unique Surrogate Gradients and Quantization Levels
On the Privacy-Preserving Properties of Spiking Neural Networks with Unique Surrogate Gradients and Quantization Levels
Ayana Moshruba
Shay Snyder
Hamed Poursiami
Maryam Parsa
AAML
60
2
0
25 Feb 2025
1