Are Neuromorphic Architectures Inherently Privacy-preserving? An Exploratory Study

Documenti analoghi

• BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion Attacks
  di: Poursiami, Hamed, et al.
  Pubblicazione: (2024)
• Watermarking Neuromorphic Brains: Intellectual Property Protection in Spiking Neural Networks
  di: Poursiami, Hamed, et al.
  Pubblicazione: (2024)
• Do Spikes Protect Privacy? Investigating Black-Box Model Inversion Attacks in Spiking Neural Networks
  di: Poursiami, Hamed, et al.
  Pubblicazione: (2025)
• Izhikevich-Inspired Temporal Dynamics for Enhancing Privacy, Efficiency, and Transferability in Spiking Neural Networks
  di: Moshruba, Ayana, et al.
  Pubblicazione: (2025)
• On the Privacy-Preserving Properties of Spiking Neural Networks with Unique Surrogate Gradients and Quantization Levels
  di: Moshruba, Ayana, et al.
  Pubblicazione: (2025)