Cover Image

Neuromorphic Cybersecurity with Semi-supervised Lifelong Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mia, Md Zesun Ahmed, Bal, Malyaban, Lu, Sen, Nishibuchi, George M., Chelian, Suhas, Vasan, Srini, Sengupta, Abhronil
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Emerging Technologies Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RMAAT: Astrocyte-Inspired Memory Compression and Replay for Efficient Long-Context Transformers
by: Mia, Md Zesun Ahmed, et al.
Published: (2026)

Delving Deeper Into Astromorphic Transformers
by: Mia, Md Zesun Ahmed, et al.
Published: (2023)

Trilinear Compute-in-Memory Architecture for Energy-Efficient Transformer Acceleration
by: Mia, Md Zesun Ahmed, et al.
Published: (2026)

Spatio-Temporal Pruning for Compressed Spiking Large Language Models
by: Jiang, Yi, et al.
Published: (2025)

SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation
by: Bal, Malyaban, et al.
Published: (2023)

P-SpikeSSM: Harnessing Probabilistic Spiking State Space Models for Long-Range Dependency Tasks
by: Bal, Malyaban, et al.
Published: (2024)

GRASP: GRouped Activation Shared Parameterization for Parameter-Efficient Fine-Tuning and Robust Inference of Transformers
by: Bal, Malyaban, et al.
Published: (2025)

Scaling SNNs Trained Using Equilibrium Propagation to Convolutional Architectures
by: Lin, Jiaqi, et al.
Published: (2024)

Exploring Extreme Quantization in Spiking Language Models
by: Bal, Malyaban, et al.
Published: (2024)

Neuromorphic Computing - An Overview
by: Jung, Benedikt, et al.
Published: (2025)

ViT-LCA: A Neuromorphic Approach for Vision Transformers
by: Takaghaj, Sanaz Mahmoodi
Published: (2024)

A Compact Gated-Synapse Model for Neuromorphic Circuits
by: Jones, Alexander, et al.
Published: (2020)

NeoHebbian Synapses to Accelerate Online Training of Neuromorphic Hardware
by: Pande, Shubham, et al.
Published: (2024)

Pipelining Kruskal's: A Neuromorphic Approach for Minimum Spanning Tree
by: Chong, Yee Hin, et al.
Published: (2025)

Stability and Geometry of Attractors in Neural Cellular Automata
by: Kvalsund, Mia-Katrin, et al.
Published: (2026)

Visualising the Attractor Landscape of Neural Cellular Automata
by: Stovold, James, et al.
Published: (2026)

Scalable Equilibrium Propagation via Intermediate Error Signals for Deep Convolutional CRNNs
by: Lin, Jiaqi, et al.
Published: (2025)

Neuromorphic quadratic programming for efficient and scalable model predictive control
by: Mangalore, Ashish Rao, et al.
Published: (2024)

Benchmarking Spiking Neural Network Learning Methods with Varying Locality
by: Lin, Jiaqi, et al.
Published: (2024)

On Noise Resiliency of Neuromorphic Inferential Communication in Microgrids
by: Song, Yubo, et al.
Published: (2024)

Contrastive Learning in Memristor-based Neuromorphic Systems
by: Merkel, Cory, et al.
Published: (2024)

SEPhIA: <1 laser/neuron Spiking Electro-Photonic Integrated Multi-Tiled Architecture for Scalable Optical Neuromorphic Computing
by: Hejda, Matěj, et al.
Published: (2025)

Towards Reverse-Engineering the Brain: Brain-Derived Neuromorphic Computing Approach with Photonic, Electronic, and Ionic Dynamicity in 3D integrated circuits
by: Yoo, S. J. Ben, et al.
Published: (2024)

Deep Neuromorphic Networks with Superconducting Single Flux Quanta
by: Krylov, Gleb, et al.
Published: (2023)

Event-Based Simulation of Stochastic Memristive Devices for Neuromorphic Computing
by: El-Geresy, Waleed, et al.
Published: (2024)

Mem-elements based Neuromorphic Hardware for Neural Network Application
by: Singh, Ankur
Published: (2024)

Neuromorphic on-chip reservoir computing with spiking neural network architectures
by: Karki, Samip, et al.
Published: (2024)

Gradient-descent hardware-aware training and deployment for mixed-signal Neuromorphic processors
by: Çakal, Uğurcan, et al.
Published: (2023)

Laser Fault Injection in Memristor-Based Accelerators for AI/ML and Neuromorphic Computing
by: Rahman, Muhammad Faheemur, et al.
Published: (2025)

Memristor-Based Spiking Neural Network Accelerator for Bio-inspired Interception Task
by: Qu, Qianhou, et al.
Published: (2026)

Synthetic Biology meets Neuromorphic Computing: Towards a bio-inspired Olfactory Perception System
by: Max, Kevin, et al.
Published: (2025)

SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning
by: Gonzalez, Hector A., et al.
Published: (2024)

Enhancing Celestial Imaging: High Dynamic Range with Neuromorphic Cameras
by: Yadav, Satyapreet Singh, et al.
Published: (2025)

A spiking photonic neural network of 40.000 neurons, trained with rank-order coding for leveraging sparsity
by: Talukder, Ria, et al.
Published: (2024)

A Ferroelectric Tunnel Junction-based Integrate-and-Fire Neuron
by: Gibertini, Paolo, et al.
Published: (2022)

Computing with Living Neurons: Chaos-Controlled Reservoir Computing with Knowledge Transplant
by: Kim, Seung Hyun, et al.
Published: (2026)

The Conquest of Quantum Genetic Algorithms: The Adventure to Cross the Valley of Death
by: Lahoz-Beltra, Rafael
Published: (2023)

Haptic in-sensor computing device made of carbon nanotube-polydimethylsiloxane nanocomposites
by: Kimizuka, Kouki, et al.
Published: (2024)

Biologically-Informed Excitatory and Inhibitory Balance for Robust Spiking Neural Network Training
by: Kilgore, Joseph A., et al.
Published: (2024)

The Reliability Issue in ReRam-based CIM Architecture for SNN: A Survey
by: Chen, Wei-Ting
Published: (2024)