Neural Network Verification

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  1. Neural Network Verification for Deep Joint Source-Channel Coding

    Oct 8, 2026Thanh Le, Hai Duong, Takeshi Matsumura +1Certified RobustnessNeural Network Verification

  2. Toward AI Trustworthiness: Finding Analytically Proven Forward-Invariant Sets for AI-Controlled Systems

    Oct 5, 2026Haoyang Song, Xikun Yang, Qixin WangNeural Network VerificationTrust in AI

  3. Security Properties of Neural Networks as Decision Problems

    Sep 30, 2026Adrian WurmNeural Network VerificationAdversarial Attacks

  4. Stochastic World Models for Verifying Vision-Based Neural Feedback Systems

    Sep 29, 2026I. Samuel Akinwande, Mykel J. Kochenderfer, Clark BarrettNeural Surrogate ModelingNeural Network Verification

  5. CLAD: Constrained Abstract Domain for Neural Network Verification

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

  6. Verifying Neural Networks with Reinforcement Learning

    Sep 28, 2026Hai Duong, Thanh Le, ThanhVu NguyenNeural Network VerificationBranch and Bound

  7. ZonoGPT: Towards An Abstract Domain for Verifying Large GPT Models

    Sep 28, 2026Hai Duong, Thanh Le, ThanhVu NguyenNeural Network Verification

  8. Reachability-Based Formal Verification of Graph Neural Networks with Node and Edge Features

    Sep 24, 2026Anne M. Tumlin, Ben Wooding, Zhenxuan Shao +3Neural Network VerificationReachability Analysis

  9. NNV3: Expanding Neural Network Verification to New Architectures and Domains

    Sep 24, 2026Anne M. Tumlin, Samuel Sasaki, Ben Wooding +8Neural Network VerificationReachability Analysis

  10. Exploring Solver-Level Warmstarting for Neural Network Verification

    Sep 22, 2026Annelot Bosman, Minghao Liu, Marta Kwiatkowska +2Neural Network Verification

  11. OPEN-1B: A Fully Auditable Training Run

    Sep 15, 2026John Donaghy, Brian Wilcox, Oğuzhan Ersoy +6Neural Network VerificationLLM Auditing

  12. Certified Uncertainty Propagation in One-Shot Federated Bayesian Models via Posterior Event Transport

    Sep 14, 2026Mahyar Mohammadi, Mohammad Hossein Badiei, Abolfazl Yaghmaei +1Bayesian Neural NetworksNeural Network Verification

  13. The Misery of Mechanistic Interpretability: A Formal Perspective

    Sep 14, 2026Tobias Ladner, Matthias AlthoffNeural Network VerificationLLM Interpretability

  14. Testing Between the Test Cases: Proving End-to-End Steering in Conditions You Never Drove

    Sep 10, 2026Menuka Ghalan, Charles Rodgers, Zachary D. AsherNeural Network VerificationEnd-to-End Autonomous Driving

  15. Probabilistic Model Checking of Autoregressive Neural Sequence Models

    Sep 1, 2026Helge Spieker, Dennis Gross, Arnaud GotliebNeural Network VerificationAutoregressive Language Modeling

  16. Branch and Bound for Relational Verification of Neural Networks

    Aug 13, 2026Kota Fukuda, Zhenya Zhang, Guanqin Zhang +1Neural Network VerificationNeural Network Robustness

  17. Training Under Challenge: Executable Certificates and Challenge-Closed Optimality for Neural Networks

    Aug 12, 2026Farhang Yeganegi, Arian Eamaz, Mojtaba SoltanalianNeural Network VerificationNeural Network Optimization

  18. SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks

    Aug 10, 2026Nusrat Jahan Mozumder, Divya Gopinath, Corina Pasareanu +1Neural Network VerificationNeural Network Robustness

  19. Mining Verdict Boundaries for Neural Network Verification

    Jul 31, 2026Jiawei Ren, Guanqin Zhang, Zhenya Zhang +1Neural Network VerificationBranch and Bound

  20. Agree on the Model, Verify the Inference: GKR Protocols for HND-Based Transformer Inference

    Jul 23, 2026Xiaolong Liang, Juanjuan Li, Rui Qin +1Neural Network VerificationTransformer Inference

  21. Lookahead Branching for Neural Network Verification

    Jul 19, 2026Liam Davis, Duo Zhou, Huan Zhang +3Neural Network VerificationBranch and Bound

  22. Certifying Residual Architectures from Their Primitives: A Sharp Stability Threshold

    Jul 16, 2026Hyemin Gu, Michael Tyrrell, Tuhin Sahai +1Neural Network VerificationResidual Learning

  23. Random Parameter Noise Does Not Make Exact ReLU Verification Easy

    Jul 15, 2026Mojtaba SoltanalianNeural Network VerificationReLU Neural Networks

  24. How Far is Too Far? Defining the Distance Threshold for Verification Siamese Networks

    Jul 6, 2026Heloísa Dias Viotto, Cauê Samonek, Lucas Garcia Pedroso +3Neural Network VerificationSiamese Neural Networks

  25. Privacy-Preserving Robustness Verification for Neural Networks

    Jul 6, 2026Nianyun Song, Xiaokun Luan, Yu Guo +3Secure Multi-Party ComputationNeural Network Verification

  26. Robustness Verification of an Autonomous Underwater Vehicle-based Plankton Classifier

    Jul 5, 2026Abdelrahman Sayed Sayed, Pierre-Jean Meyer, Asgeir J. Sørensen +1Neural Network VerificationReachability Analysis

  27. ShardNet: Training Neural Controllers with Hard, Non-Convex Constraints

    Jun 29, 2026Long Kiu Chung, Shreyas KousikNeural Network VerificationSafety-Critical Control

  28. Propagation ofInterval Belief Structures andImprecise Copulas for~Neural Network Verification

    Jun 29, 2026Francesc Pifarre-Esquerda, Eric Goubault, Sylvie PutotNeural Network VerificationUncertainty Quantification