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. Robustness of Vision Foundation Models to Common Perturbations

    Apr 16, 2026Hongbin Liu, Zhengyuan Jiang, Cheng Hong +1Image Corruption RobustnessVision Foundation Models

    Duke University · Ant Group

  2. General aspects of internal noise in spiking neural networks

    Apr 15, 2026I. D. Kolesnikov, D. A. Maksimov, V. M. Moskvitin +1LIF NeuronsSpiking Neural Networks

    Saratov State University, Astrakhanskaya str. 83, Saratov 410012, Russia

  3. Algorithmic Analysis of Dense Associative Memory: Finite-Size Guarantees and Adversarial Robustness

    Apr 14, 2026Madhava GaikwadAssociative MemoryNeural Network Robustness

    Independent Researcher

  4. Stability and Geometry of Attractors in Neural Cellular Automata

    Apr 14, 2026Mia-Katrin Kvalsund, James StovoldNeural Cellular AutomataNeural Network Robustness

    Department of Physics, University of Oslo, Norway · Department of Computer Science, University of York, UK

  5. Internal noise in deep neural networks: interplay of depth, neuron number, and noise injection step

    Apr 9, 2026D. A. Maksimov, V. M. Moskvitin, N. SemenovaFeedforward Neural NetworksNeural Network Robustness

    Saratov State University, Astrakhanskaya str. 83, Saratov 410012, Russia

  6. Bridging Theory and Practice in Crafting Robust Spiking Reservoirs

    Apr 7, 2026Ruggero Freddi, Nicolas Seseri, Diana Nigrisoli +1Reservoir ComputingSpiking Neural Networks

    Research and Development Department, Manava.plus, Milan, Italy · Department of Engineering and Geology, “G’. d’Annunzio” University of Chieti-Pescara, Pescara, Italy

  7. Context is All You Need

    Apr 6, 2026Jean Erik Delanois, Shruti Joshi, Ryan Golden +2Neural Network RobustnessTest-Time Adaptation

    Department of Computer Science & Engineering, University of California, San Diego, La Jolla, California, USA · Department of Medicine, University of California, San Diego, La Jolla, California, USA · Microsoft Corporation, Redmond, WA, USA

  8. WGFINNs: Weak formulation-based GENERIC formalism informed neural networks

    Apr 3, 2026Jun Sur Richard Park, Auroni Huque Hashim, Siu Wun Cheung +2Physics-Informed MLAI-Assisted Scientific Research

    Division of Big Data Science, Korea University, Sejong, 30019, Republic of Korea · Department of Mathematics, North Carolina State University, Raleigh, NC 27695, USA · Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.

  9. Where Does Robustness Live? Neuron-Guided Adaptation for Retrieval-Augmented Language Models

    Apr 2, 2026Jae O Lee, Jaemin Kim, Sumyeong Ahn +1Retrieval-Augmented GenerationFine-Tuning

    1Hanyang University · 2KENTECH

  10. BraiNCA: brain-inspired neural cellular automata and applications to morphogenesis and motor control

    Apr 2, 2026Léo Pio-Lopez, Benedikt Hartl, Michael LevinNeural Cellular AutomataNeural Network Robustness

    Allen Discovery Center at Tufts University, Medford, MA, USA · Wyss Institute for Biologically Inspired Engineering at Harvard University, Boston, MA, USA

  11. Fast Preemptive Robustification: High-Frequency Response Anti-Aligns Shared Vulnerability

    Mar 26, 2026Jiaming Liang, Chi-Man PunNeural Network RobustnessAdversarial Robustness

    University of Macau, Macau, China

  12. The Luna Bound Propagator for Formal Analysis of Neural Networks

    Mar 25, 2026Henry LeCates, Haoze WuAbstract InterpretationNeural Network Verification

    Amherst College, USA

  13. From Arithmetic to Logic: The Resilience of Logic and Lookup-Based Neural Networks Under Parameter Bit-Flips

    Mar 24, 2026Alan T. L. Bacellar, Sathvik Chemudupati, Shashank Nag +4Neural Network RobustnessNeural Network Quantization

    The University of Texas at Austin · Federal University of Rio de Janeiro · Instituto de Telecomunicações, Porto, Portugal

  14. Neuronal Self-Adaptation Enhances Capacity and Robustness of Representation in Spiking Neural Networks

    Mar 21, 2026Zhuobin Yang, Yeyao Bao, Liangfu Lv +3Spiking Neural NetworksNeural Network Robustness

    Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.

  15. IBCapsNet: Information Bottleneck Capsule Network for Noise-Robust Representation Learning

    Mar 21, 2026Canqun Xiang, Chen Yang, Jiaoyan ZhaoNeural Network RobustnessRepresentation Learning

    an independent researcher · Institute of Applied Artificial Intelligence of the Guangdong-Hong Kong-Macao Greater Bay Area, Shenzhen Polytechnic University, Shenzhen, China

  16. Beyond Weighted Summation: Learnable Nonlinear Aggregation Functions for Robust Artificial Neurons

    Mar 19, 2026Berke Deniz BozyigitNeural Network Robustness

    Independent Researcher

  17. rSDNet: Unified Robust Neural Learning against Label Noise and Adversarial Attacks

    Mar 18, 2026Suryasis Jana, Abhik GhoshNeural Network RobustnessRobust Classification

    Indian Statistical Institute, Kolkata, India

  18. Incremental Neural Network Verification via Learned Conflicts

    Mar 12, 2026Raya Elsaleh, Liam Davis, Haoze Wu +1Neural Network VerificationNeural Network Robustness

    Hebrew University of Jerusalem, Jerusalem, Israel · Amherst College, Amherst, USA

  19. Intrinsic Numerical Robustness and Fault Tolerance in a Neuromorphic Algorithm for Scientific Computing

    Mar 10, 2026Bradley H. Theilman, James B. AimoneNeuromorphic ComputingNeural Network Robustness

    Neural Exploration & Research Laboratory, Sandia National Laboratories, Albuquerque, NM

  20. Rotation Equivariant Mamba for Vision Tasks

    Mar 10, 2026Zhongchen Zhao, Qi Xie, Keyu Huang +3Equivariant Neural NetworksNeural Network Robustness

    School of Mathematics and Statistics, Xi’an Jiaotong University, Shaanxi, P.R. China · Department of Computing, the Hong Kong Polytechnic University, Hong Kong, P.R. China

  21. Attack-Dependent Robustness of Neural Audio Codecs for Adversarial ASR

    Mar 10, 2026Jordan Prescott, Thanathai Lertpetchpun, Shrikanth NarayananASR EvaluationNeural Audio Codecs

    Signal Analysis and Interpretation Laboratory, University of Southern California, USA

  22. SYNAPSE: Framework for Neuron Analysis and Perturbation in Sequence Encoding

    Mar 9, 2026Jesús Sánchez Ochoa, Enrique Tomás Martínez Beltrán, Alberto Huertas CeldránNeuron-Level InterpretabilityTransformer Interpretability

    Department of Information and Communications Engineering, University of Murcia, Murcia, 30100, Spain

  23. Polarized Direct Cross-Attention Message Passing in GNNs for Machinery Fault Diagnosis

    Mar 6, 2026Zongyu Shi, Laibin Zhang, Maoyin ChenGraph Neural NetworksFault Diagnosis

    Department of Automation, College of Artificial Intelligence, China University of Petroleum (Beijing), Beijing 102299, China · Department of Safety Engineering, College of Safety and Ocean Engineering, China University of Petroleum (Beijing), Beijing 102299, China

  24. Lipschitz-Based Robustness Certification Under Floating-Point Execution

    Mar 6, 2026Toby MurrayNeural Network VerificationNeural Network Robustness

    University of Melbourne, Melbourne, Australia

  25. MCEL: Margin-Based Cross-Entropy Loss for Error-Tolerant Quantized Neural Networks

    Mar 5, 2026Mikail Yayla, Akash KumarNeural Network RobustnessRobust Loss Functions

    Ruhr-Universität Bochum, Germany

  26. When Small Variations Become Big Failures: Reliability Challenges in Compute-in-Memory Neural Accelerators

    Mar 3, 2026Yifan Qin, Jiahao Zheng, Zheyu Yan +3Compute-in-MemoryNeural Network Robustness

    University of Notre Dame · NC State University

  27. Guiding Sparse Neural Networks with Neurobiological Principles to Elicit Biologically Plausible Representations

    Mar 3, 2026Patrick Inoue, Florian Röhrbein, Andreas KnoblauchBiologically Plausible LearningSparse Neural Networks

    KEIM Institute, Albstadt-Sigmaringen University, Germany · Department of Computer Science, Chemnitz University of Technology, Germany

  28. The Price of Robustness: Stable Classifiers Need Overparameterization

    Mar 3, 2026Jonas von Berg, Adalbert Fono, Massimiliano Datres +2OverparameterizationRobust Classification

    Ludwig-Maximilians-Universität München Munich, Germany Munich Center for Machine Learning (MCML) · ∗now at Aleph Alpha Research · †University of Tromso, DLR-German Aerospace Center

  29. Exact and Asymptotically Complete Robust Verifications of Neural Networks via Ising Solvers

    Feb 28, 2026Wenxin Li, Wenchao Liu, Anzhe Jiang +6Neural Network VerificationNeural Network Robustness

    Beijing QBoson Quantum Technology Co., Ltd. · Tsinghua University · Beijing Normal University

  30. Pulse-Driven Neural Architecture: Learnable Oscillatory Dynamics for Robust Continuous-Time Sequence Processing

    Feb 25, 2026Paras SharmaRecurrent Neural NetworksOscillatory Neural Networks