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On the Susceptibility of Deep Neural Networks to Natural Perturbations., , , , , и . AISafety@IJCAI, том 2419 из CEUR Workshop Proceedings, CEUR-WS.org, (2019)Automated Synthesis of Memristor Crossbars Using Deep Neural Networks., , , , , , и . FICTA (2), том 1177 из Advances in Intelligent Systems and Computing, стр. 345-357. Springer, (2020)Design and Fabrication of Flow-Based Edge Detection Memristor Crossbar Circuits1., , , , , , и . IEEE Trans. Circuits Syst. II Express Briefs, 67-II (5): 961-965 (2020)Testing autonomous cyber-physical systems using fuzzing features from convolutional neural networks: work-in-progress., , , и . EMSOFT Companion, стр. 1:1-1:2. ACM, (2017)Directed Adversarial Attacks on Fingerprints using Attributions., , , , и . ICB, стр. 1-8. IEEE, (2019)In-memory Machine Learning using Adaptive Multivariate Decision Trees and Memristors., , и . ISCAS, стр. 1-5. IEEE, (2024)Designing Energy-Efficient Decision Tree Memristor Crossbar Circuits Using Binary Classification Graphs., и . ICCAD, стр. 36:1-36:9. ACM, (2022)Detecting Deepfake Videos using Attribution-Based Confidence Metric., , , , , , , и . CVPR Workshops, стр. 1250-1259. Computer Vision Foundation / IEEE, (2020)Predicting Success in Undergraduate Parallel Programming via Probabilistic Causality Analysis., и . IPDPS Workshops, стр. 347-352. IEEE Computer Society, (2018)Attribution-driven Causal Analysis for Detection of Adversarial Examples., , , , , , , и . CoRR, (2019)