Copertina

Boosting the Robustness-Accuracy Trade-off of SNNs by Robust Temporal Self-Ensemble

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Jihang, Zhao, Dongcheng, Chen, Ruolin, Zhang, Qian, Zeng, Yi
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Mitigating Accuracy-Robustness Trade-off via Balanced Multi-Teacher Adversarial Distillation
di: Zhao, Shiji, et al.
Pubblicazione: (2023)

Towards Reliable Evaluation of Adversarial Robustness for Spiking Neural Networks
di: Wang, Jihang, et al.
Pubblicazione: (2025)

Enhancing Adversarial Robustness in SNNs with Sparse Gradients
di: Liu, Yujia, et al.
Pubblicazione: (2024)

TIM: An Efficient Temporal Interaction Module for Spiking Transformer
di: Shen, Sicheng, et al.
Pubblicazione: (2024)

Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off
di: Bai, Yatong, et al.
Pubblicazione: (2023)

Sensitivity as a Double-Edged Sword: A Trade-off Between Discriminability and Adversarial Robustness
di: Wang, Kai
Pubblicazione: (2026)

Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training
di: Zhang, Jiacheng, et al.
Pubblicazione: (2024)

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning
di: Ghofrani, Fatemeh, et al.
Pubblicazione: (2025)

MEAT: Median-Ensemble Adversarial Training for Improving Robustness and Generalization
di: Hu, Zhaozhe, et al.
Pubblicazione: (2024)

Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
di: Gowda, Shruthi, et al.
Pubblicazione: (2024)

Training Image Derivatives: Increased Accuracy and Universal Robustness
di: Avrutskiy, Vsevolod I.
Pubblicazione: (2023)

Multi-head Ensemble of Smoothed Classifiers for Certified Robustness
di: Fang, Kun, et al.
Pubblicazione: (2022)

PRBench: A Standardized Probabilistic Robustness Benchmark
di: Zhang, Yi, et al.
Pubblicazione: (2025)

Revisiting the Trade-off between Accuracy and Robustness via Weight Distribution of Filters
di: Wei, Xingxing, et al.
Pubblicazione: (2023)

Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing
di: Bai, Yatong, et al.
Pubblicazione: (2023)

DiffEditor: Boosting Accuracy and Flexibility on Diffusion-based Image Editing
di: Mou, Chong, et al.
Pubblicazione: (2024)

Boosting Adversarial Transferability via Ensemble Non-Attention
di: Zou, Yipeng, et al.
Pubblicazione: (2025)

SOLAR: Switchable Output Layer for Accuracy and Robustness in Once-for-All Training
di: Tareen, Shaharyar Ahmed Khan, et al.
Pubblicazione: (2025)

Boosting Single Positive Multi-label Classification with Generalized Robust Loss
di: Chen, Yanxi, et al.
Pubblicazione: (2024)

Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning
di: Tekin, Selim Furkan, et al.
Pubblicazione: (2024)

Beyond Accuracy: Evaluating Efficiency, Robustness and Explainability in Deep Learning for Malaria Diagnosis
di: Kanamugire, Olivier, et al.
Pubblicazione: (2026)

Non-Parametric Probabilistic Robustness: A Conservative Risk Estimator under Unknown Perturbation Distributions
di: Wang, Zheng, et al.
Pubblicazione: (2025)

Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation
di: Zheng, Guangtao, et al.
Pubblicazione: (2024)

ChronoSelect: Robust Learning with Noisy Labels via Dynamics Temporal Memory
di: Wang, Jianchao, et al.
Pubblicazione: (2025)

Quadratic Upper Bound for Boosting Robustness
di: You, Euijin, et al.
Pubblicazione: (2026)

Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles
di: Shen, Xing, et al.
Pubblicazione: (2023)

Robust and Efficient Adversarial Defense in SNNs via Image Purification and Joint Detection
di: Chen, Weiran, et al.
Pubblicazione: (2024)

Network Fission Ensembles for Low-Cost Self-Ensembles
di: Lee, Hojung, et al.
Pubblicazione: (2024)

FlyPrompt: Brain-Inspired Random-Expanded Routing with Temporal-Ensemble Experts for General Continual Learning
di: Yan, Hongwei, et al.
Pubblicazione: (2026)

BoardVision: Deployment-ready and Robust Motherboard Defect Detection with YOLO+Faster-RCNN Ensemble
di: Hill, Brandon, et al.
Pubblicazione: (2025)

Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift
di: To, Minh Nguyen Nhat, et al.
Pubblicazione: (2025)

Class-Conditional Distribution Balancing for Group Robust Classification
di: Zhao, Miaoyun, et al.
Pubblicazione: (2025)

Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models
di: Zhang, Peiyan, et al.
Pubblicazione: (2023)

A Novel CNN Gradient Boosting Ensemble for Guava Disease Detection
di: Rijon, Tamim Ahasan, et al.
Pubblicazione: (2025)

Spatially-guided Temporal Aggregation for Robust Event-RGB Optical Flow Estimation
di: Zhou, Qianang, et al.
Pubblicazione: (2025)

Characterizing Accuracy Trade-offs of EEG Applications on Embedded HMPs
di: Taufique, Zain, et al.
Pubblicazione: (2024)

EntProp: High Entropy Propagation for Improving Accuracy and Robustness
di: Enomoto, Shohei
Pubblicazione: (2024)

Rethinking Semi-supervised Segmentation Beyond Accuracy: Reliability and Robustness
di: Landgraf, Steven, et al.
Pubblicazione: (2025)

Robust Emotion Recognition in Context Debiasing
di: Yang, Dingkang, et al.
Pubblicazione: (2024)

A Sober Look at the Robustness of CLIPs to Spurious Features
di: Wang, Qizhou, et al.
Pubblicazione: (2024)