Neural Network Robustness

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  1. Pretraining Shapes Spectral Structure: Architecture- and Strategy-Conditional Prediction of OOD Robustness in Foundation Models

    Oct 7, 2026Sangyoon Bae, Sk Miraj Ahmed, Shinjae Yoo +1OOD GeneralizationNeural Network Robustness

  2. Targeted search shows that random-device testing underestimates worst-case error in a simulated wave-based neural operator

    Oct 5, 2026Samrendra Roy, Jason Yoo, Souvik Chakraborty +1Fourier Neural OperatorUncertainty Quantification

  3. Lipschitz Thinking: Ten Years of Certifiable-by-Design Robust Neural Networks

    Oct 5, 2026Fabio Brau, Giorgio Piras, Maura Pintor +1Neural Network RobustnessCertified Robustness

  4. HiER-BLS: A Hierarchy-Guided and Error-Correcting Robust Incremental Broad Learning System

    Oct 5, 2026Gongli Zhang, C. L. Philip Chen, Zhulin LiuHierarchical Representation LearningNeural Network Robustness

  5. FairRSFM: A Biome-Aware Benchmark and Debiasing Framework for Remote Sensing Foundation Models

    Oct 5, 2026Md Aminur Hossain, Omkumar Vaghasiya, Rajeev Ranjan Dwivedi +2Geospatial Foundation ModelsNeural Network Robustness

  6. Towards Robust Time Series Learning via Capacity-Centric Modulation

    Sep 30, 2026Siru Zhong, Senzhang Wang, James T. Kwok +1Time Series ClassificationNeural Network Robustness

  7. Where Does Randomness Matter in Neural Cellular Automata?

    Sep 29, 2026Fei Zuo, Jiaqi Shi, Yujing LiuNeural Cellular AutomataCellular Automata

  8. CLAD: Constrained Abstract Domain for Neural Network Verification

    Sep 28, 2026Hai Duong, Thanh Le, ThanhVu NguyenNeural Network VerificationNeural Network Robustness

  9. Virtual neural networks: hundreds of souls in a body

    Sep 21, 2026Petr Hurtik, Marek Vajgl, Zahra Alijani +1Neural Network RobustnessDeep Ensembles

  10. Training-Adaptive Convolutional Sparse Coding via Information Bottleneck for Robust Visual Representation

    Sep 16, 2026Meng'en Qin, Yinchen Liu, Mingxuan Cui +1Representation LearningTest-Time Adaptation

  11. Self-Supervised Learning for Robust Resonance Mass Regression in Cascade Decays

    Sep 15, 2026Ho Fung Tsoi, Alex Yang, Luis Felipe Gutierrez Zagazeta +2Neural Network RobustnessHigh-Energy Physics

  12. Beyond Noise: Understanding and Overcoming Temperature Effects in Analog DNN Inference

    Sep 14, 2026Niklas Summ, Xiao Wang, Hendrik Borras +2Neural Network RobustnessModel Calibration

  13. Real-Time Neuromorphic Spectrum Intelligence Simulator

    Sep 1, 2026Navaneetha Krishnan KamalakannanNeural Network RobustnessSpiking Neural Networks

  14. Reliability analysis for BraTS-GoAT segmentation: a controlled robustness study of deep-ensemble uncertainty

    Aug 13, 2026Riya Deepak Shet, Le ZhangUncertainty QuantificationNeural Network Robustness

  15. Branch and Bound for Relational Verification of Neural Networks

    Aug 13, 2026Kota Fukuda, Zhenya Zhang, Guanqin Zhang +1Neural Network VerificationNeural Network Robustness

  16. SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks

    Aug 10, 2026Nusrat Jahan Mozumder, Divya Gopinath, Corina Pasareanu +1Neural Network VerificationNeural Network Robustness

  17. No Unique Minimizer, No Problem: On the Consistency of Robust Neural Classifiers

    Aug 9, 2026Subhabrata Majumdar, Anand Deo, Partha Pratim Saha +1Neural Network GeneralizationNeural Network Robustness

  18. The Spectral Neuron

    Aug 8, 2026Alex ShtoffNeural Network RobustnessNeural Network Interpretability

  19. Uncertainty-Aware Ensemble Deep Randomized Neural Networks for Classification

    Aug 7, 2026M. Sajid, A. Quadir, A. Rahaman +2Ensemble LearningNeural Network Robustness

  20. Suppress and Diversify: Refining Robust Pathways for Corruption Robustness

    Aug 7, 2026Jiangang Yang, Wenhui Shi, Xiaoran Xu +4Image Corruption RobustnessNeural Network Robustness

  21. Different Perturbations, Different Mechanisms: Understanding Continued Pre-training for Zero-Shot Dialect Robustness

    Aug 6, 2026Aarohi Srivastava, David ChiangLanguage Model PretrainingMultilingual Language Models

  22. Robustness Emerges Early in Training Dynamics, but Is Not Preserved

    Aug 5, 2026Jiangang Yang, Wenhui Shi, Lu Hu +2Distribution Shift RobustnessRepresentation Learning

  23. Understanding Fault Tolerance of Adversarially Robust Pruned Models

    Aug 4, 2026Manali Dangarikar, Cory MerkelAdversarial TrainingNeural Network Robustness

  24. The Grokked Illusion: True Equilibrium Mitigates Catastrophic Forgetting

    Jul 31, 2026Xiaotian Zhang, Lai Shun Chan, Yue Shang +2Neural Network RobustnessCatastrophic Forgetting

  25. Improving the Robustness/Accuracy Tradeoff Against Adversarial Attacks Using Information Bottleneck Distillation Through Dual Teachers

    Jul 30, 2026Vincent Ryusuke Takahashi, Yoshinari Takeishi, Jun'ichi Takeuchi +1Adversarial TrainingNeural Network Robustness

  26. Anti-Backdoor Coreset Selection via Cumulative Entropy

    Jul 28, 2026Qi Zhao, Christian WressneggerNeural Network RobustnessTraining Data Selection

  27. A Distributional Robustness Margin For Pathology Foundation Models

    Jul 28, 2026Clément Grisi, Jeroen van der Laak, Geert LitjensDistribution Shift RobustnessNeural Network Robustness