Robust Classification

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48 papers9 papers in the last four weeks, up 80% on the four weeks before. 0.1% of all new papers.

  1. Adversarial Robustness of Kernel Machines: A Comprehensive Analysis

    Nov 5, 2026Rahul Kumar Yadav, Tunir Ghosh, Sudhendu Ahir +2Adversarial RobustnessRobust Classification

    Center for Machine Intelligence and Data Science, IIT Bombay

  2. Systematic Evaluation of Robustness in Fine-tuned Models

    Nov 1, 2026Angela John, Hamayoon BehmanushAdversarial RobustnessRobust Classification

    Saarland Informatics Campus, Saarland University

  3. Adversarial robustness does not entail human-aligned categorization

    Oct 31, 2026Itay Reznik, Raz Lapid, Moshe Sipper +1Adversarial RobustnessImage Classification

    Institute for Applied AI Research, Ben-Gurion University of the Negev · Intuit · Institute for Applied AI Research, Data Science Research Center, Ben-Gurion University of the Negev +1

  4. Robust Learning of Multi-Index Models under Logconcave Distributions via Weak Partial Learners

    Oct 30, 2026Ilias Diakonikolas, Daniel M. Kane, Mingchen MaStatistical Learning TheoryClassification

    University of Wisconsin-Madison · University of California, San Diego

  5. Leakage-Controlled Structure-Preserving Augmentation and Template-Aware Evaluation for Bangla Symptom-Based Disease Prediction

    Oct 30, 2026Sabah Nushra, Shovan Samanta Turzo, Moinul Hossain +1Clinical PredictionData Augmentation

    Islamic University of Technology, Gazipur, Bangladesh · Daffodil International University, Dhaka, Bangladesh · American International University–Bangladesh, Dhaka, Bangladesh +1

  6. BDNet: Fast-slow thinking is all you need

    Oct 30, 2026Chenzhi Zheng, Zhuoran ZhengImage ClassificationRobust Classification

    1Jinan University · 2National University of Defense Technology

  7. Enhancing Clinical Classifier Robustness with Deep Representation Learning Based OOD Detection on DNA Methylation Data

    Oct 26, 2026Md Zahangir Alom, Quynh T. Tran, Breuer Alexandar +1OOD DetectionRobust Classification

    St. Jude Children’s Research Hospital, Memphis,TN 38105 USA

  8. Contrastive Adversarial Training for Robust Graph Neural Networks under Label Poisoning

    Oct 17, 2026Manshika Charvi Bissessur, Melis Ilayda Bal, Michael MuehlebachGraph Neural NetworksRobust Classification

    University of Oxford · Max Planck Institute for Intelligent Systems, Tübingen, Germany · LIONS – École Polytechnique Fédérale de Lausanne +1

  9. On the tradeoff between robustness and geometric accuracy in adversarial training

    Oct 16, 2026Rachel Morris, Ryan Murray, Kerrek StinsonAdversarial RobustnessRobust Classification

  10. Adversarially Trained Linear Transformers Are Optimal Robust In-Context Learners for Gaussian Mixtures

    Oct 6, 2026Soichiro KumanoAdversarial TrainingTransformer

    LY Corporation

  11. Adversarially Robust PAC Learning with Optimal VC Rates

    Sep 21, 2026Steve Hanneke, Amirreza ShaeiriSample ComplexityAdversarial Robustness

    Department of Computer Sciences, Purdue University, USA.

  12. Efficient Robust Learning at the Information-Theoretic Limit

    Sep 15, 2026Adam R. Klivans, Konstantinos Stavropoulos, Sergei Tikhonov +1Boolean Function LearningLearning with Noisy Labels

    UT Austin · Institute for Advanced Study · Aarhus University

  13. A family of spectral conjugate gradient algorithms derived by least-squares approximations based on a modified quasi--Newton update with application to a revised robust binary classification model

    Sep 11, 2026Saman Babaie-Kafaki, Maryam Khoshsimaye-Bargard, Ahmad MousaviRobust ClassificationNonconvex Optimization

    Faculty of Engineering, Free University of Bozen–Bolzano, 39100 Bolzano, Italy · Department of Mathematics, Faculty of Mathematics, Statistics and Computer Science, Semnan University, Semnan, Iran · Department of Mathematics and Statistics, American University, Washington, D.C., USA

  14. Local Robustness Quantification for Naive Bayes Classifiers and Generative Forests: a General Approach

    Sep 10, 2026Adrián Detavernier, Jasper De BockDistribution Shift RobustnessAdversarial Robustness

    Foundations Lab for imprecise probabilities Ghent University Ghent, Belgium

  15. Counterfactual Marginalisation: Framework for Evaluating Robustness to Nuisance Variables

    Sep 9, 2026Yasin Ibrahim, Hermione Warr, Robin J. Evans +1Counterfactual EvaluationClassification

    Department of Engineering Science, University of Oxford, Oxford, UK · Department of Statistics, University of Oxford, Oxford, UK

  16. IFW-BLS: Dual-Robust Broad Learning System with Intuitionistic Fuzzy Wave Loss

    Sep 2, 2026Mushir Akhtar, M. TanveerRobust ClassificationRobust Loss Functions

    Indian Institute of Technology Indore, Simrol, Indore, India

  17. Robust Broad Learning System with Wave Loss for Classification under Data Uncertainty

    Aug 30, 2026Mushir Akhtar, A. Varshney, A. Quadir +3Robust Loss FunctionsLearning with Noisy Labels

    Department of Mathematics Indian Institute of Technology Indore

  18. Bagging Robustly Learns VC Classes with Linear Sample Complexity

    Aug 13, 2026Omar MontasserAdversarial RobustnessClassification

    Yale University

  19. ProME: Prototype-Margin Environments with Repair-Aware Selection for Group-Robust Learning

    Aug 13, 2026Qianqian Wang, Yunshan Li, Dawei Huang +2Distribution Shift RobustnessSpurious Correlation Robustness

    aShenzhen Key Laboratory of Safety and Security for Next Generation of Industrial Internet, Shenzhen, China · bDepartment of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, China

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

    Aug 9, 2026Subhabrata Majumdar, Anand Deo, Partha Pratim Saha +1Robust EstimationNeural Network Robustness

    Indian Institute of Management Bangalore · Independent Researcher · Indian Statistical Institute, Kolkata

  21. When Data Imbalance Helps: Robust Generalization Through Shortcut Saturation

    Jul 11, 2026Cheng-Ting Chou, Duc Binh HoangClass-Imbalanced LearningTransformer

    University of California, Los Angeles

  22. Optimized Instance Alteration for Explaining and Assessing Robustness of Classifiers

    Jul 7, 2026Evgenii Kuriabov, David Miller, Jia LiCounterfactual ExplanationsAdversarial Robustness

    Department of Statistics, The Pennsylvania State University, University Park, PA 16802, USA · Department of Electrical Engineering, The Pennsylvania State University, University Park, PA 16802, USA

  23. Discovering Latent Groups for Robust Classification

    Jun 22, 2026Ankur Garg, Ulrich Aïvodji, Samira Ebrahimi Kahou +1Subgroup RobustnessInterpretable ML

  24. Neural Bayesian Anomaly Mitigation: A Robust Loss that Doubles as an Unsupervised Contamination Classifier

    Jun 15, 2026S. A. K. Leeney, W. J. Handley, H. T. J. Bevins +1Neural Network RobustnessNoisy-Label Learning

    Astrophysics Group, Cavendish Laboratory University of Cambridge · Institute of Astronomy University of Cambridge

  25. Distributional Loss for Robust Classification

    Jun 11, 2026Kathleen Anderson, Thomas MartinetzRobust Loss FunctionsClassification

    Institute for Neuro- and Bioinformatics, University of Lübeck, Germany

  26. Polynomial-Time Robust Multiclass Linear Classification under Gaussian Marginals

    May 20, 2026Ilias Diakonikolas, Giannis Iakovidis, Mingchen MaAgnostic LearningMulticlass Classification

    University of Wisconsin-Madison

  27. Holistic Reliability Propagation: Decoupling Annotation and Prediction for Robust Noisy-Label

    May 20, 2026Jingyang Mao, Ningkang Peng, Yanhui GuClassificationLearning with Noisy Labels

    Nanjing Normal University Nanjing, China

  28. Symmetrization of Loss Functions for Robust Training of Neural Networks in the Presence of Noisy Labels

    May 19, 2026Alexandre Lemire Paquin, Brahim Chaib-Draa, Philippe GiguèreNeural Network RobustnessNoisy-Label Learning

    Department of Computer Science and Software Engineering Université Laval, Québec, Canada

  29. Shortcut Mitigation via Spurious-Positive Samples

    May 13, 2026Phuong Quynh Le, Jörg Schlötterer, Sari Sadiya +2Neural Network RobustnessSpurious Correlation Robustness

    University of Marburg · Goethe University Frankfurt

  30. Robust Biomedical Publication Type and Study Design Classification with Knowledge-Guided Perturbations

    May 12, 2026Shufan Ming, Joe D. Menke, Neil R. Smalheiser +1Adversarial TrainingDistribution Shift Robustness

    School of Information Sciences University of Illinois Urbana-Champaign Champaign, USA · Department of Psychiatry University of Illinois Chicago Chicago, USA