:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Mitra, Subhadip
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security Computation and Language Emerging Technologies Machine Learning Neural and Evolutionary Computing
Online Access:	https://arxiv.org/abs/2606.00813
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quality-Diversity Evolution for Discovering Diverse Vulnerabilities in LLM Safety
by: Mitra, Subhadip
Published: (2026)

NEUROSEC: FPGA-Based Neuromorphic Audio Security
by: Isik, Murat, et al.
Published: (2024)

Cyber Risks to Next-Gen Brain-Computer Interfaces: Analysis and Recommendations
by: Schroder, Tyler, et al.
Published: (2025)

Language Modeling on a SpiNNaker 2 Neuromorphic Chip
by: Nazeer, Khaleelulla Khan, et al.
Published: (2023)

Integrated Security Mechanisms for Weight Protection in Memristive Crossbar Arrays
by: Rahman, Muhammad Faheemur, et al.
Published: (2025)

MALT Powers Up Adversarial Attacks
by: Melamed, Odelia, et al.
Published: (2024)

Impact of White-Box Adversarial Attacks on Convolutional Neural Networks
by: Podder, Rakesh, et al.
Published: (2024)

AI-Guided Codesign Framework for Novel Material and Device Design applied to MTJ-based True Random Number Generators
by: Patel, Karan P., et al.
Published: (2024)

Boosting Adversarial Robustness and Generalization with Structural Prior
by: Hou, Zhichao, et al.
Published: (2025)

Physical Foundation Models: Fixed hardware implementations of large-scale neural networks
by: Wright, Logan G, et al.
Published: (2026)

Analog Optical Inference on Million-Record Mortgage Data
by: Berloff, Sofia, et al.
Published: (2026)

Insect-Wing Structured Microfluidic System for Reservoir Computing
by: Clouse, Jacob, 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)

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

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

Reservoir Computing Benchmarks: a tutorial review and critique
by: Wringe, Chester, et al.
Published: (2024)

Self-Adaptive Ising Machines for Constrained Optimization
by: Delacour, Corentin
Published: (2025)

Training Deep Boltzmann Networks with Sparse Ising Machines
by: Niazi, Shaila, et al.
Published: (2023)

Gradient descent in materia through homodyne gradient extraction
by: Boon, Marcus N., et al.
Published: (2021)

Learning Dynamics in Memristor-Based Equilibrium Propagation
by: Döll, Michael, et al.
Published: (2025)

Unsupervised End-to-End Training with a Self-Defined Target
by: Liu, Dongshu, et al.
Published: (2024)

Transductive Spiking Graph Neural Networks for Loihi
by: Snyder, Shay, et al.
Published: (2024)

A Path to Universal Neural Cellular Automata
by: Béna, Gabriel, et al.
Published: (2025)

DelGrad: Exact event-based gradients for training delays and weights on spiking neuromorphic hardware
by: Göltz, Julian, et al.
Published: (2024)

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

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

Rectifying Adversarial Examples Using Their Vulnerabilities
by: Morimoto, Fumiya, et al.
Published: (2026)

Adversarially Robust Spiking Neural Networks with Sparse Connectivity
by: Schmolli, Mathias, et al.
Published: (2025)

On the Adversarial Robustness of Spiking Neural Networks Trained by Local Learning
by: Lin, Jiaqi, et al.
Published: (2025)

Effects of cavity nonlinearities and linear losses on silicon microring-based reservoir computing
by: Castro, Bernard J. Giron, et al.
Published: (2023)

Multi-Task Wavelength-Multiplexed Reservoir Computing Using a Silicon Microring Resonator
by: Castro, Bernard J. Giron, et al.
Published: (2023)

BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion Attacks
by: Poursiami, Hamed, et al.
Published: (2024)

Do Spikes Protect Privacy? Investigating Black-Box Model Inversion Attacks in Spiking Neural Networks
by: Poursiami, Hamed, et al.
Published: (2025)

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

Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples
by: Xu, Nuo, et al.
Published: (2022)

Probe-Geometry Alignment: Erasing the Cross-Sequence Memorization Signature Below Chance
by: Rupa, Anamika Paul, et al.
Published: (2026)

From One Attack Domain to Another: Contrastive Transfer Learning with Siamese Networks for APT Detection
by: Benabderrahmane, Sidahmed, et al.
Published: (2025)

Dependence of Equilibrium Propagation Training Success on Network Architecture
by: Wang, Qingshan, et al.
Published: (2026)

Over-The-Air Extreme Learning Machines with XL Reception via Nonlinear Cascaded Metasurfaces
by: Stylianopoulos, Kyriakos, et al.
Published: (2026)

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