{"total":26,"rows":[{"id":"2110.11417","title":"HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise","created":"2021-10-06","cited_by_count":65,"area":null},{"id":"2107.00415","title":"DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks","created":"2021-07-01","cited_by_count":21,"area":null},{"id":"2109.09829","title":"Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework","created":"2021-09-20","cited_by_count":17,"area":null},{"id":"2209.03358","title":"Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples","created":"2022-09-07","cited_by_count":13,"area":null},{"id":"2205.01625","title":"Toward Robust Spiking Neural Network Against Adversarial Perturbation","created":"2022-04-12","cited_by_count":12,"area":null},{"id":"2503.03272","title":"Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients","created":"2025-03-05","cited_by_count":9,"area":null},{"id":"2303.10780","title":"A Comprehensive Review of Spiking Neural Networks: Interpretation, Optimization, Efficiency, and Best Practices","created":"2023-03-19","cited_by_count":8,"area":null},{"id":"2410.11488","title":"Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation","created":"2024-10-15","cited_by_count":8,"area":null},{"id":"2311.09266","title":"Adversarially Robust Spiking Neural Networks Through Conversion","created":"2023-11-15","cited_by_count":7,"area":null},{"id":"2404.03325","title":"Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack","created":"2024-04-04","cited_by_count":7,"area":null},{"id":"2204.09514","title":"Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems","created":"2022-04-18","cited_by_count":6,"area":null},{"id":"2503.16572","title":"Efficient ANN-Guided Distillation: Aligning Rate-based Features of Spiking Neural Networks through Hybrid Block-wise Replacement","created":"2025-03-20","cited_by_count":6,"area":null},{"id":"2411.06613","title":"Are Neuromorphic Architectures Inherently Privacy-preserving? An Exploratory Study","created":"2024-11-10","cited_by_count":5,"area":null},{"id":"2503.21793","title":"Input-Triggered Hardware Trojan Attack on Spiking Neural Networks","created":"2025-03-20","cited_by_count":5,"area":null},{"id":"2308.10373","title":"HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds","created":"2023-08-20","cited_by_count":3,"area":null},{"id":"2511.12199","title":"MPD-SGR: Robust Spiking Neural Networks with Membrane Potential Distribution-Driven Surrogate Gradient Regularization","created":"2025-11-15","cited_by_count":2,"area":null},{"id":"2211.02223","title":"Adversarial Defense via Neural Oscillation inspired Gradient Masking","created":"2022-11-04","cited_by_count":1,"area":null},{"id":"2505.06299","title":"Input-Specific and Universal Adversarial Attack Generation for Spiking Neural Networks in the Spiking Domain","created":"2025-05-07","cited_by_count":1,"area":null},{"id":"2301.05264","title":"Security-Aware Approximate Spiking Neural Networks","created":"2023-01-12","cited_by_count":0,"area":null},{"id":"2308.08222","title":"HyperSNN: A new efficient and robust deep learning model for resource constrained control applications","created":"2023-08-16","cited_by_count":0,"area":null},{"id":"2505.15833","title":"Adversarially Robust Spiking Neural Networks with Sparse Connectivity","created":"2025-05-16","cited_by_count":0,"area":null},{"id":"2507.18139","title":"Neuromorphic Computing for Embodied Intelligence in Autonomous Systems: Current Trends, Challenges, and Future Directions","created":"2025-07-24","cited_by_count":0,"area":null},{"id":"2508.04270","title":"TDSNNs: Competitive Topographic Deep Spiking Neural Networks for Visual Cortex Modeling","created":"2025-08-06","cited_by_count":0,"area":null},{"id":"2601.16589","title":"Emerging Threats and Countermeasures in Neuromorphic Systems: A Survey","created":"2026-01-23","cited_by_count":0,"area":null},{"id":"2602.20548","title":"Robust Spiking Neural Networks Against Adversarial Attacks","created":"2026-02-24","cited_by_count":0,"area":null},{"id":"2607.27990","title":"Driving up Inference Energy on SNNs: Per-Sample and Universal Sponge Attacks","created":"2026-07-30","cited_by_count":0,"area":null}],"next_cursor":null}