Neural Network Robustness

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Overview

Neural network robustness asks whether a model keeps making reliable predictions when inputs, training data, or computing hardware differ from expectations. Common approaches include adversarial training, corruption and shift testing, Lipschitz constraints, randomized smoothing, and formal verification that certifies behavior within a defined perturbation range. Work spans image, language, audio, scientific, and control systems, with evaluations increasingly examining confidence, internal representations, adaptive attacks, and deployment conditions rather than accuracy alone. A central tension is that improving worst-case or certified robustness can reduce clean accuracy, increase computational cost, or leave other kinds of failures untouched.

Latest papers

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238 papers24 papers in the last four weeks, up 85% on the four weeks before. 0.1% of all new papers.

  1. Natural Jammers: When Non-Robust Features Become Antagonistic

    Oct 26, 2026Jiaming Zhang, Fuyao Zhang, Pengjun Xie +1Neural Network RobustnessAdversarial Robustness

    Nanyang Technological University · Alibaba Group

  2. Exploring perceptual straightness in learned visual representations

    Oct 26, 2026Anne Harrington, Vasha DuTell, Ayush Tewari +4Visual Representation LearningTemporal Representation Learning

    MIT CSAIL · MIT Brain and Cognitive Sciences · Woven Planet

  3. PAFS: Perturbation-Aware Firing Scaffolds for Robust Event-Based SNNs

    Oct 23, 2026Ning Liu, Jun Sun, Hao Guo +6Spiking Neural NetworksNeural Network Robustness

    The University of Western Australia, Australia · Nanjing University, China · The Chinese University of Hong Kong, Hong Kong SAR, China +2

  4. RobustNCL: Robustifying Neuromorphic Continual Learning under Transient Faults with Lightweight Detect-and-Cure Strategy

    Oct 22, 2026Rachmad Vidya Wicaksana Putra, Shuochen Zhou, Muhammad ShafiqueNeuromorphic ComputingNeural Network Robustness

    eBRAIN Lab, New York University (NYU) Abu Dhabi, United Arab Emirates

  5. Wavenumber-Aware Deep Learning for Robust Analysis of Raman Spectra

    Oct 22, 2026Jihwan Kim, Jaeseong Heo, Yujin Kim +7Neural Network RobustnessPositional Encoding

    Department of Chemistry, Kookmin University, 77 Jeongneung-ro, Seongbuk-gu, Seoul, 02707, Republic of Korea. · BB21+, Department of Chemistry, Pukyong National University, Busan, 48513, Republic of Korea. · Department of Chemical Engineering, Myongji University, Yongin, 17058, Republic of Korea. +4

  6. On the Adversarial Vulnerability of Neural Receivers with Unrolled LDPC Decoders

    Oct 21, 2026Aakash Saini, Jafar Aco Mohammadi, Wolfgang GerstackerAdversarial AttacksNeural Network Robustness

    Nokia, Munich, Germany · Institute for Digital Communications, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany

  7. Reconstruction differences rival individual differences in the fly compass connectome and break trained circuit models

    Oct 21, 2026Md Ali Ashraf Yad, Nazifa Tabassum NabilaContinuous Attractor Neural NetworksBrain Network Analysis

    Wrocław University of Science and Technology · Comilla University

  8. LEAN: Loss-Engineered Modulation of the Model Weight-Sensitivity Distribution for Efficient, Error-Tolerant Neural Networks

    Oct 20, 2026Habibur Rahaman, Swarup BhuniaNeural Network Robustness

    Electrical and Computer Engineering, University of Florida, Gainesville, Florida, USA

  9. Robust Representation Learning for Spiking Neural Networks based on Conditional Information Bottleneck

    Oct 20, 2026Yuli Zha, Wang Fan, Yixiao Dai +5Spiking Neural NetworksNeural Network Robustness

    College of Computer Science and Artificial Intelligence, Fudan University, Shanghai, 200433, China · Institute of Big Data, Fudan University, Shanghai, 200433, China

  10. Annealed correlation and quenched noise sensitivity in biased deep neural networks

    Oct 20, 2026Johan JonassonNeural Network Robustness

    Chalmers University of Technology and University of Gothenburg, S-412 96 Gothenburg, Sweden

  11. FuzzInsight: Navigating the Efficiency-Effectiveness Trade-off in Coverage-Guided DNN Fuzzing

    Oct 16, 2026Vivek Vekariya, Fathiyeh Faghih, Alexander PretschnerAutomated Test GenerationNeural Network Robustness

    Technical University of Munich, Germany · Birmingham City University, United Kingdom · Technical University of Munich & fortiss GmbH, Germany

  12. Robust Explanatory Analysis for Structured Optimization Networks (REASON) in Learning

    Oct 14, 2026Vahid Jebraeeli, Hamid Krim, Keisuke FujiiInference-Time OptimizationNeural Network Robustness

    ECE Department, North Carolina State University, Raleigh, NC, USA · Graduate School of Informatics, Nagoya University, Nagoya, Japan

  13. LAIR-Net: Leaky Alignment-Impulse Residual Networks for Tabular Regression

    Oct 8, 2026Rahul Goswami, Aryan Bhambu, Bittu KarmakarTabular RegressionResidual Learning

    Indian Institute of Technology Guwahati · SAFIR, Sorbonne University Abu Dhabi · Indian Institute of Technology Bombay

  14. 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

    Interdisciplinary Program in Artificial Intelligence Seoul National University Seoul, 08826, South Korea · Computational Science Initiative Brookhaven National Laboratory Upton, New York, 11973, USA · Department of Psychology Seoul National University Seoul, 08826, South Korea

  15. 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

    Department of Nuclear, Plasma, and Radiological Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA · Department of Applied Mechanics, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India · Yardi School of Artificial Intelligence (ScAI), Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India +1

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

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

    Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy

  17. 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

    Guangdong Provincial Key Laboratory of Computational AI Models and Cognitive Intelligence, the School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China, also with the Pazhou Lab, Guangzhou 510335, China, and also with the Engineering Research Center of the Ministry of Education on Health Intelligent Perception and Paralleled Digital-Human, Guangzhou 510641, China

  18. 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

    Space Applications Centre, ISRO, Ahmedabad, India · Indian Institute of Science Education and Research Bhopal, Bhopal, India · Centre of Studies in Resources Engineering (CSRE), Indian Institute of Technology Bombay, India

  19. An Empirical Fault Vulnerability Exploration of ReRAM-based Process-in-Memory CNN Accelerators

    Oct 4, 2026Aniseh Dorostkar, Hamed Farbeh, Hamid R. ZarandiNeural Network RobustnessConvolutional Neural Networks

    Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran

  20. Exploring the Trade-Off Between Structured Pruning and Fault Tolerance in Deep Neural Networks for Space Applications

    Oct 2, 2026Toon Vinck, Naïn Jonckers, Jaro De Roose +2Neural Network RobustnessStructured Pruning

    Magics Technologies, Geel, Belgium · ESAT-ADVISE, KU Leuven, Geel, Belgium · Dept. of Computer Science, Leuven.AI, KU Leuven, Leuven, Belgium +1

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

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

    Data Science & Analytics Thrust, The Hong Kong University of Science and Technology (GZ), Guangzhou, China · School of Computer Science & Engineering, Central South University, Changsha, China · Dept. of Computer Science & Engineering, The Hong Kong University of Science and Technology, Hong Kong

  22. Where Does Randomness Matter in Neural Cellular Automata?

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

    Fudan University · Independent Researcher · Shanghai Pupuda Culture Communication Co., Ltd.

  23. Representational and Functional Robustness to Electrode Montages in EEG Foundation Models

    Sep 28, 2026Jakob Steglich, Justus Meyer zu Bexten, Shakiba Moradi +3EEG Foundation ModelsElectroencephalography

    Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany · ScaDS.AI Dresden/Leipzig · BIFOLD–Berlin Institute for the Foundations of Learning and Data, Berlin, Germany +2

  24. Transversal Pooling Neural Networks

    Sep 28, 2026Emily J. King, Dustin G. Mixon, Michael Perlmutter +1Tropical Cyclone Intensity ForecastingEquivariant Neural Networks

    Department of Mathematics, Colorado State University, Fort Collins, CO, USA · Department of Mathematics and Translational Data Analytics Institute, The Ohio State University, Columbus, OH, USA · Department of Mathematics, Boise State University, Boise, ID, USA +1

  25. When Should a Satellite Estimate Be Changed? Stress-Testing Neural Corrections for Evapotranspiration

    Sep 28, 2026Marco TrottaAgricultural Remote SensingNeural Network Robustness

    Irrigant, Idaho, USA

  26. CLAD: Constrained Abstract Domain for Neural Network Verification

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

    Department of Computer Science George Mason University Fairfax, VA, USA · Unaffiliated Yokosuka, Japan

  27. Staying on the Attractor: Supervising Neural Surrogates of 3D Turbulence Where They Leave It

    Sep 26, 2026Yilong Dai, Shaswata Mitra, Raj Patel +7Neural Surrogate ModelingPDE Surrogate Modeling

    The University of Alabama · Rutgers University · University of Pittsburgh

  28. LipSSM: Structurally Lipschitz-Bounded Cascaded State-Space Model via Metric Transfer between Consecutive SSM Layers

    Sep 25, 2026Natsuki Yoshino, Ren Uchida, Kazuki Matsumoto +1Lipschitz Neural NetworksNeural Network Robustness

    Tokyo University of Agriculture and Technology (TUAT), Tokyo, Japan

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

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

    Centre of Excellence IT4Innovations, Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, 30. dubna 22, Ostrava, Czech Republic

  30. Benchmarking Hybrid Deep Learning Architectures for Predictive Maintenance in Industry 4.0

    Sep 18, 2026Zhengyang, Gu, Joseph E. Hernandez +4Hybrid Transformer ArchitecturesPredictive Maintenance

    Cissy · Data Science, Liveline Technologies Livonia, MI, USA · Engineering, Liveline Technologies Livonia, MI, USA