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