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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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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.Universal Decision-Based Black-Box Perturbations: Breaking Security-Through-Obscurity Defenses.T. Hogan, and B. Kailkhura. CoRR, (2018)MimicGAN: Corruption-Mimicking for Blind Image Recovery & Adversarial Defense.R. Anirudh, J. Thiagarajan, B. Kailkhura, and T. Bremer. CoRR, (2018)Instance-wise Linearization of Neural Network for Model Interpretation.Z. Li, S. Liu, B. Kailkhura, T. Bremer, and V. Pascucci. CoRR, (2023)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)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)Neural Image Compression: Generalization, Robustness, and Spectral Biases.K. Lieberman, J. Diffenderfer, C. Godfrey, and B. Kailkhura. CoRR, (2023)GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations.J. Duan, R. Zhang, J. Diffenderfer, B. Kailkhura, L. Sun, E. Stengel-Eskin, M. Bansal, T. Chen, and K. Xu. CoRR, (2024)Robusta: Robust AutoML for Feature Selection via Reinforcement Learning.X. Wang, B. Li, Y. Zhang, B. Kailkhura, and K. Nahrstedt. CoRR, (2021)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)

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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.