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BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic
  Architectures against Model Inversion Attacks

BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion Attacks

1 February 2024
Hamed Poursiami
Ihsen Alouani
Maryam Parsa
    AAML
ArXivPDFHTML

Papers citing "BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion Attacks"

5 / 5 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
30
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
71
2
0
25 Feb 2025
Watermarking Neuromorphic Brains: Intellectual Property Protection in
  Spiking Neural Networks
Watermarking Neuromorphic Brains: Intellectual Property Protection in Spiking Neural Networks
Hamed Poursiami
Ihsen Alouani
Maryam Parsa
40
1
0
07 May 2024
Secure and Robust Machine Learning for Healthcare: A Survey
Secure and Robust Machine Learning for Healthcare: A Survey
A. Qayyum
Junaid Qadir
Muhammad Bilal
Ala I. Al-Fuqaha
AAML
OOD
45
374
0
21 Jan 2020
Long short-term memory and learning-to-learn in networks of spiking
  neurons
Long short-term memory and learning-to-learn in networks of spiking neurons
G. Bellec
Darjan Salaj
Anand Subramoney
Robert Legenstein
Wolfgang Maass
119
481
0
26 Mar 2018
1