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Fault-Tolerant Deep Neural Networks for Processing-In-Memory based Autonomous Edge Systems.

S. Wang, G. Yuan, X. Ma, Y. Li, X. Lin, and B. Kailkhura. DATE, page 424-429. IEEE, (2022)

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MimicGAN: Corruption-Mimicking for Blind Image Recovery & Adversarial Defense.R. Anirudh, J. Thiagarajan, B. Kailkhura, and T. Bremer. CoRR, (2018)Universal Decision-Based Black-Box Perturbations: Breaking Security-Through-Obscurity Defenses.T. Hogan, and B. Kailkhura. CoRR, (2018)MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking.R. Anirudh, J. Thiagarajan, B. Kailkhura, and P. Bremer. Int. J. Comput. Vis., 128 (10): 2459-2477 (2020)Data Falsification Attacks on Consensus-Based Detection Systems.B. Kailkhura, S. Brahma, and P. Varshney. IEEE Trans. Signal and Information Processing over Networks, 3 (1): 145-158 (2017)TreeView: Peeking into Deep Neural Networks Via Feature-Space PartitioningJ. Thiagarajan, B. Kailkhura, P. Sattigeri, and K. Ramamurthy. (2016)cite arxiv:1611.07429Comment: Presented at NIPS 2016 Workshop on Interpretable Machine Learning in Complex Systems.Instance-wise Linearization of Neural Network for Model Interpretation.Z. Li, S. Liu, B. Kailkhura, T. Bremer, and V. Pascucci. CoRR, (2023)Automatic Perturbation Analysis on General Computational Graphs.K. Xu, Z. Shi, H. Zhang, M. Huang, K. Chang, B. Kailkhura, X. Lin, and C. Hsieh. CoRR, (2020)Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation.H. Zheng, J. Sun, S. Wu, B. Kailkhura, Z. Mao, C. Xiao, and A. Prakash. CoRR, (2023)Robusta: Robust AutoML for Feature Selection via Reinforcement Learning.X. Wang, B. Li, Y. Zhang, B. Kailkhura, and K. Nahrstedt. CoRR, (2021)COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks.F. Wu, L. Li, C. Xu, H. Zhang, B. Kailkhura, K. Kenthapadi, D. Zhao, and B. Li. CoRR, (2022)

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Fault-Tolerant Deep Neural Networks for Processing-In-Memory based Autonomous Edge Systems.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Fault-Tolerant Deep Neural Networks for Processing-In-Memory based Autonomous Edge Systems.

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Fault-Tolerant Deep Neural Networks for Processing-In-Memory based Autonomous Edge Systems.