Black Box

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4 papers in the last 28 days · 0.1% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

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Period ending 2026-09-14

3 new papers

A weekly snapshot of new work published in Black Box.

Period ending 2026-09-07

1 new paper

A weekly snapshot of new work published in Black Box.

90 papers

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  1. First-Order Efficiency for Probabilistic Value Estimation via A Statistical Viewpoint

    May 4, 2026Ziqi Liu, Kiljae Lee, Yuan Zhang +1EstimatorsPropensity

  2. Learning to Act and Cooperate for Distributed Black-Box Consensus Optimization

    May 1, 2026Zi-Bo Qin, Feng-Feng Wei, Tai-You Chen +1Multi-Agent CoordinationGlobal Coordination

  3. E-MIA: Exam-Style Black-Box Membership Inference Attacks against RAG Systems

    May 1, 2026Zelin Guan, Shengda Zhuo, Zeyan Li +4Membership InferenceHievi-Rag

  4. Green Physics-Informed Machine Learning Models For Structural Health Monitoring

    Apr 30, 2026Daisy R Bradley, Elizabeth J CrossStructural Health MonitoringPhysics-Informed Deep Learning

  5. Improving Diversity in Black-box Few-shot Knowledge Distillation

    Apr 28, 2026Tri-Nhan Vo, Dang Nguyen, Kien Do +1Heterogeneous Knowledge DistillationFew-Shot Learning

  6. Geometry Preserving Loss Functions Promote Improved Adaptation of Blackbox Generative Model

    Apr 26, 2026Sinjini Mitra, Constantine Kyriakakis, Shenyuan Liang +2Generative Adversarial NetworkParameter-Efficient Adaptation

  7. Operational Feature Fingerprints of Graph Datasets via a White-Box Signal-Subspace Probe

    Apr 24, 2026Yuchen Xiong, Swee Keong Yeap, Zhen Hong BanFingerprintBlack Box

  8. ArmSSL: Adversarial Robust Black-Box Watermarking for Self-Supervised Learning Pre-trained Encoders

    Apr 24, 2026Yongqi Jiang, Yansong Gao, Boyu Kuang +3Multi-Bit WatermarkingWatermarking

  9. Learning Control Policies to Provably Satisfy Hard Affine Constraints for Black-Box Hybrid Dynamical Systems

    Apr 24, 2026Aayushi Shrivastava, Kartik Nagpal, Sairam Jinkala +2Safety ConstraintsControl Barrier Functions

  10. Bounding the Black Box: A Statistical Certification Framework for AI Risk Regulation

    Apr 23, 2026Natan Levy, Gadi PerlArtificial Intelligence RiskAI Risk Assessment

  11. Text Steganography with Dynamic Codebook and Multimodal Large Language Model

    Apr 22, 2026Jianxin Gao, Ruohan Lei, Wanli PengSteganographyImage Steganalysis

  12. PREF-XAI: Preference-Based Personalized Rule Explanations of Black-Box Machine Learning Models

    Apr 21, 2026Salvatore Greco, Jacek Karolczak, Roman Słowiński +1Explainable Artificial IntelligencePreference Learning

  13. STAR-Teaming: A Strategy-Response Multiplex Network Approach to Automated LLM Red Teaming

    Apr 21, 2026MinJae Jung, YongTaek Lim, Chaeyun Kim +3Red-TeamingLanguage Model Evasion Attacks

  14. BOIL: Learning Environment Personalized Information

    Apr 18, 2026Rohan Patil, Henrik I. ChristensenStochastic ExplorationDynamic Environments

  15. Target-Oriented Pretraining Data Selection via Neuron-Activated Graph

    Apr 17, 2026Zijun Wang, Haoqin Tu, Weidong Zhou +7Protein Language ModelBlack Box

  16. Adapting in the Dark: Efficient and Stable Test-Time Adaptation for Black-Box Models

    Apr 17, 2026Yunbei Zhang, Shuaicheng Niu, Chengyi Cai +2Test-Time AdaptationFaster Inference

  17. Robust Explanations for User Trust in Enterprise NLP Systems

    Apr 13, 2026Guilin Zhang, Kai Zhao, Jeffrey Friedman +3Large Language Model ReliabilityExplanations

  18. Incentive Aware AI Regulations: A Credal Characterisation

    Mar 5, 2026Anurag Singh, Julian Rodemann, Rajeev Verma +2RegulationArtificial Intelligence Governance

  19. Randomized Kriging Believer for Parallel Bayesian Optimization with Regret Bounds

    Mar 2, 2026Shuhei Sugiura, Ichiro Takeuchi, Shion TakenoBayesian OptimizationGaussian Process

  20. AlienLM: Alienization of Language for API-Boundary Privacy in Black-Box LLMs

    Jan 30, 2026Jaehee Kim, Pilsung KangLanguage Model Evasion AttacksPrivacy Risks and Protection

  21. Bayesian quantum sensing using graybox machine learning

    Jan 24, 2026Akram Youssry, Stefan Todd, Patrick Murton +4QuantumBlack Box

  22. White-Box Sensitivity Auditing with Steering Vectors

    Jan 23, 2026Hannah Cyberey, Yangfeng Ji, David EvansLarge Language Model SafetyAlgorithm Auditing

  23. Black-Box Detection of LLM-Generated Text Using Generalized Jensen-Shannon Divergence

    Oct 8, 2025Shuangyi Chen, Ashish KhistiMachine-Generated Text DetectionBlack Box

  24. Deep Regularized RNNs for Virtual Analog Modeling

    Sep 19, 2025V. Valtteri Kallinen, Lauri Juvela, Thom ShersonAnalogRecurrent Neural Networks

  25. Towards Mitigation of Hallucination for LLM-empowered Agents: Progressive Generalization Bound Exploration and Watchdog Monitor

    Jul 21, 2025Siyuan Liu, Wenjing Liu, Zhiwei Xu +3Hallucination DetectionLlm-Based Agent

  26. Tuning without Peeking: Provable Generalization Bounds and Robust LLM Post-Training

    Jul 2, 2025Ismail Labiad, Mathurin Videau, Matthieu Kowalski +4Black BoxBlack-Box Optimization

  27. Using Mechanistic Interpretability to Craft Adversarial Attacks against Large Language Models

    Mar 8, 2025Thomas Winninger, Boussad Addad, Katarzyna KapustaBlack-Box Adversarial AttacksAttack-Success Rate

  28. Image-based Geo-localization for Robotics: Are Black-box Vision-Language Models there yet?

    Jan 28, 2025Sania Waheed, Bruno Ferrarini, Michael Milford +2Geo-LocalizationCross-View Geo-Localization

  29. Causal Explanations for Image Classifiers

    Nov 13, 2024Hana Chockler, David A. Kelly, Daniel Kroening +1Concept-Based ExplainabilityExplanations

  30. The Contribution of XAI for the Safe Development and Certification of AI: An Expert-Based Analysis

    Jul 22, 2024Benjamin Fresz, Vincent Philipp Göbels, Safa Omri +5XaiResponsible Artificial Intelligence