Black Box

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  1. What Makes Something Hard(er)? Explaining Question Difficulty in Natural Language

    Oct 1, 2026Peng Cui, Qiaoyuan Zheng, Rudolf Debelak +1HardItem Response Theory

  2. IQS-BO: In-Context Query Selection for Bayesian Optimisation

    Oct 1, 2026Luca Geminiani, Nadja KleinTabular Prior-Data Fitted NetworkPrompt Optimization

  3. WOMBAT: Whitebox Oracle for Molecular Benchmarking and Attribution Testing

    Sep 30, 2026Dominik Matuszek, Bartosz Zieliński, Tomasz Danel +1Graph Neural NetworksExplainable AI Methods

  4. Revisiting On-policy Adversarial Black-Box Distillation: Calibrating Groupwise Reward Geometry for Effective Advantage Construction

    Sep 30, 2026Xiao Cui, Mo Zhu, Yulei Qin +3Dataset DistillationOn-Policy

  5. Adaptive Self-Consistency: From Black-Box Sampling to Distribution-Valued Feedback

    Sep 30, 2026Jingkai Huang, Yunfan Zhang, Will Ma +2Self-ConsistencySelf-Distillation Framework

  6. Beyond End-to-End Black Box Mapping: An Intentional Agent Framework for Cognitive-driven Facial Reaction Generation

    Sep 28, 2026Hanzhong Zhang, Jindong Wang, Siyang SongFacial Expression RecognitionAgentic Framework

  7. SR4-Fit: A Unified Interpretable Rule-Based Machine Learning Framework for Informative and Trustworthy Decision-Making

    Sep 27, 2026Shyam Sundar Murali Krishnan, Dean Frederick HougenInterpretabilityBlack Box

  8. BOReFT: Manifold Steering of Language Models for Black-box Optimization

    Sep 27, 2026Dhruv Agarwal, Rico Angell, Kavitha Srinivas +4Bayesian OptimizationBlack-Box Optimization

  9. From Grey-Box to Green-Box: When can Physics-Informed Machine Learning Reduce Carbon Footprints in Structural Health Monitoring?

    Sep 27, 2026Daisy R. Bradley, Nathan A. Hinchliffe, Daniel J. Pitchforth +2Physics-Informed LearningArtificial Intelligence Lifecycle

  10. MF-SCBO : Multi-fidelity Scalable Constrained Bayesian Optimization

    Sep 24, 2026Lucas Palazzolo, Mickaël Binois, Laëtitia GiraldiMulti-FidelityBayesian Optimization

  11. Improving Calibration of Black-Box Radiology AI Using Test-Time Augmentation

    Sep 24, 2026Nathan Le, Magdalini Paschali, Arogya Koirala +5Data AugmentationCone-Beam Computed Tomography

  12. Finite-Sample Probabilistic Safety Certification for AI-Based Grid-Edge Coordination

    Sep 23, 2026Yihong Zhou, Hanbin Yang, Thomas MorstynProbabilistic SafetyArtificial Intelligence Safety

  13. Explainable Neuro-Fuzzy Prediction for Trustworthy Decision-Making in Maritime

    Sep 21, 2026Dionisis Kalogeropoulos, Georgia Sovatzidi, Dimitris K. IakovidisFuzzyExplainability

  14. Model-Agnostic Feature Selection via LOCO-Guided Adaptive Minipatch Sampling

    Sep 21, 2026Xuhui Liu, Lili ZhengFeature SelectionFeature Importance

  15. Bayesian Optimization with Rich Auxiliary Information via LLMs

    Sep 16, 2026Tejus Gupta, Efe Mert Karagözlü, Rohit Sonker +2Bayesian OptimizationOptimization Modeling

  16. A Weighted Kernel Method for Approximation that Adapts to Learned Multivariable Structure

    Sep 15, 2026John E. Darges, Laura WeidensagerKernel MethodApproximation

  17. Implementing a White-Box Undetectable Backdoor for Random Fourier Features

    Sep 14, 2026Michael Collins, Jada Cumberland, Brianne Dunn +3Atom-Averaged FeaturesBlack Box

  18. Trajectory Bundle Method in SE(3) for Black-Box Fixed-Wing Aircraft Trajectory Optimization

    Sep 14, 2026Matthew D. Osburn, Cameron K. Peterson, John L. SalmonRobust TrajectoryRigid-Body Dynamics

  19. A practical DIRECT-type algorithm for medium-scale black-box global optimization

    Sep 9, 2026Linas Stripinis, Remigijus PaulavičiusBlack-Box OptimizationBlack Box

  20. Translation of Black-Box Clinical Prediction Models into Standalone Transparent Nomograms: Temporal External Validation in Heart Transplantation

    Sep 7, 2026Henry Pigot, Paulo J. G. Lisboa, Sandra Ortega-Martorell +3Clinical PredictionChronic Kidney Disease

  21. Beyond Small Patches: Black-Box Detection and Purification of Diverse Backdoor Triggers

    Sep 2, 2026Ahmed Abdelnaby, Mohamed ElmahallawyClean Label Backdoor AttackUnsupervised Detection

  22. Online Conformal Prediction Beyond Feedback

    Aug 7, 2026Joar Skalse, Edoardo Pona, Osvaldo Simeone +1Online Conformal PredictionUncertainty Quantification

  23. Attention-Only White-Box Transformer via LeJEPA-Based Self-Supervised Pretraining

    Aug 4, 2026Yang Bai, Linyuan Wang, Haoyang Jiang +3Transformer AttentionSelf-Supervised Learning

  24. AI Forensics Across White-, Grey-, and Black-Box Access: A Process Model and Research Agenda for Post-Incident Investigation of AI Systems

    Aug 4, 2026Ali Dehghantanha, Sajad HomayounArtificial Intelligence RiskIncident Response

  25. Measuring Explainer Stability via Attribution Separability

    Aug 3, 2026Eddie Conti, Álvaro Parafita, Axel BrandoExplainabilityBlack Box

  26. Uncovering and Mitigating Positional Blind Spots in Vision-Language-Action Models

    Aug 3, 2026Dongdong An, Pengjie Zhao, Yihao Huang +5Blind SpotsRobotic Manipulation

  27. Crushing the Evidence: A Dual-Penalty Evasion Framework for Fooling White-Box Explainable AI Auditors

    Aug 1, 2026Niraj Kumar, Harsh KasyapBlack-Box Adversarial AttacksExplainability

  28. Optimizing the Preconditioner: A Black-box Online-to-Nonconvex Conversion with Static Regret Minimization Oracles

    Jul 20, 2026Haichen Hu, David Simchi-LeviStochastic Convex OptimizationInterval Regret

  29. Confidence-based Ranking with Adaptive Sampling for Noisy Black-Box Optimisation

    Jul 16, 2026Enrico Halim, Hemant Kumar Singh, Tapabrata RayBlack-Box OptimizationGenetic Algorithms

  30. Random Logit Scaling: Defending Deep Neural Networks Against Black-Box Score-Based Adversarial Example Attacks

    Jul 16, 2026Hamid Dashtbani, Mehdi Dousti Gandomani, AmirMahdi SadeghzadehBlack-Box Adversarial AttacksModel-Agnostic Defense

  31. Can We Steer the Black-Box? Towards Controllability-Centric Evaluation of Recommender Systems with Collaborative Agents

    Jul 15, 2026Jiwen Zhou, Xiang Liu, Mingming Li +5ControllabilityModel-Based Multi-Agent Systems

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

    Jul 7, 2026Evgenii Kuriabov, David Miller, Jia LiRobustness VerificationClassifier

  33. Black-Box Inference of LLM Architectural Properties with Restrictive API Access

    Jul 1, 2026Christopher Ellis, Shreyas Chaudhari, Mei-Yu Wang +3Attacker Large Language ModelLarge Language Model Tool Use

  34. Rethinking Forgery Attacks on Semantic Watermarks in Black-Box Settings: A Geometric Distortion Perspective

    Jun 29, 2026Cheng-Yi Lee, Yichi Zhang, Yuchen Yang +2WatermarksWatermarking

  35. From Black-Box to Clinical Insight: A Multi-Stage Explainable Framework for Speech-Based Cognitive Impairment Detection

    Jun 26, 2026Yasaman Haghbin, Sina Rashidi, Ali Zolnour +6ExplainabilityMild Cognitive Impairment

  36. Bridging Spherical Black-Box Optimizers

    Jun 24, 2026Johannes Ackermann, Stefano PeluchettiBlack-Box OptimizationOptimizer Design

  37. Black-Box Assisted Regression: Phase Transitions and Minimax Optimality

    Jun 24, 2026Yan ZhouEmpirical Risk MinimizationSemi-Supervised Learning

  38. \chisao{}: A GPU-Native Parallel Optimizer for Multimodal Black-Box Functions via Convergence-Anticonvergence Oscillation

    Jun 24, 2026Ira WolfsonBlack-Box OptimizationCpu-Gpu Hybrid Designs

  39. Explaining Failures of Cyber-Physical Systems with Actual Causality

    Jun 23, 2026Khen Elimelech, Tom Yaacov, David A. Kelly +2Cyber-Physical SystemCausal Reasoning

  40. NAMESAKES: Probing Identity Memorization in Text-to-Image Models

    Jun 18, 2026Morris Alper, Vasudha Varadarajan, Moran Yanuka +2Modern Text-To-Image ModelsText-To-Image

  41. Budget-Aware Adaptive Adversarial Patches for Black-Box Object Detection

    Jun 16, 2026Pedram MohajerAnsari, Amir Salarpour, David Fernandez +1Black-Box Adversarial AttacksObject Detection

  42. Where Black-box Drug-Target Interaction Prediction Models Look: Cross-Method Explainability

    Jun 12, 2026Ali Vefghi, Zahed Rahmati, Mohammad AkbariAbsorption, Distribution, Metabolism, And ExcretionExplainability

  43. Explaining Black-Box Language Models: Learning to Optimize Linguistically-Structured Word Subsets

    Jun 7, 2026Minyoung Hwang, Seokhyun Lee, Changhee LeeInterpretabilityLanguage Modeling

  44. Testing the Black Box: Structural Barriers to Independent Evaluation of Consumer-Facing Health LLMs

    Jun 7, 2026Rahul Gorijavolu, Kaushik Madapati, Pritika Vig +7Large Language Model EvaluationSycophancy

  45. Gray-Box Optimization and the Vertex Coloring Problem

    Jun 6, 2026Johanna Gasse, Antonia Heinen, Hendrik Higl +1Black-Box OptimizationCombinatorial Optimization

  46. Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory

    Jun 4, 2026Sam Buchanan, Druv Pai, Peng Wang +1Deep LearningRepresentation Learning

  47. Agentic Monte Carlo: Simulating Reinforcement Learning for Black-Box Agents

    Jun 3, 2026Dae Yon Hwang, Raunaq Suri, Valentin Villecroze +4Agentic Reinforcement LearningLarge Language Model Agents

  48. RIZZ: Routing Interactions to Near Zero-Interference Zones for Continual Adaptation of Black-Box Agents

    Jun 2, 2026Sonali Goel, Pranav Vaidhyanathan, Lucas Schorling +2Large Language Model AdaptationParameter-Efficient Adaptation