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Trust, Resilience and Interpretability of AI Models.

. NSV@CAV, volume 11652 of Lecture Notes in Computer Science, page 3-25. Springer, (2019)

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On ∃ ∀ ∃! solving: A case study on automated synthesis of magic card tricks., , and . FMCAD, page 81-84. IEEE, (2016)On the Need for Topology-Aware Generative Models for Manifold-Based Defenses., , and . ICLR, OpenReview.net, (2020)Model-Centered Assurance for Autonomous Systems., , and . SAFECOMP, volume 12234 of Lecture Notes in Computer Science, page 228-243. Springer, (2020)Direct Amortized Likelihood Ratio Estimation., , , , and . CoRR, (2023)TrojDRL: Trojan Attacks on Deep Reinforcement Learning Agents., , , and . CoRR, (2019)Introduction to the Special Issue on Artificial Intelligence and Cyber-Physical Systems - Part 2., , and . ACM Trans. Cyber Phys. Syst., 6 (2): 10:1-10:3 (2022)Predicting Out-of-Distribution Performance of Deep Neural Networks Using Model Conformance., , , , and . ICAA, page 19-28. IEEE, (2023)Dual-Key Multimodal Backdoors for Visual Question Answering., , , , and . CVPR, page 15354-15364. IEEE, (2022)On Learning Sparse Boolean Formulae for Explaining AI Decisions., , , , and . NFM, volume 10227 of Lecture Notes in Computer Science, page 99-114. (2017)Trust, Resilience and Interpretability of AI Models.. NSV@CAV, volume 11652 of Lecture Notes in Computer Science, page 3-25. Springer, (2019)