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MLPrivacyGuard: Defeating Confidence Information based Model Inversion Attacks on Machine Learning Systems.

, , and . ACM Great Lakes Symposium on VLSI, page 411-415. ACM, (2019)

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Design of Robust, High-Entropy Strong PUFs via Weightless Neural Network., , , , , , and . J. Hardw. Syst. Secur., 3 (3): 235-249 (2019)Concurrency Analysis in Dynamic Dataflow Graphs., , , and . IEEE Trans. Emerg. Top. Comput., 9 (1): 44-54 (2021)Towards Adversarial Attack Resistant Deep Neural Networks., and . ESANN, page 49-54. (2020)Graph Templates for Dataflow Programming., , , , and . SBAC-PAD (Workshops), page 91-96. IEEE Computer Society, (2015)A resilient scheduler for dataflow execution., , , and . DFT, page 1-4. IEEE Computer Society, (2017)Building a portable deeply-nested implicit information flow tracking., , , , , and . CF, page 150-157. ACM, (2020)Workshop 15: MPP Parallel Programming Models - Special Edition Machine Learning Performance and Security., , , and . IPDPS Workshops, page 838-839. IEEE, (2020)Hardening DNNs against Transfer Attacks during Network Compression using Greedy Adversarial Pruning., , and . AICAS, page 324-327. IEEE, (2022)MLPrivacyGuard: Defeating Confidence Information based Model Inversion Attacks on Machine Learning Systems., , and . ACM Great Lakes Symposium on VLSI, page 411-415. ACM, (2019)Distributed Checkpointing in Dataflow with Static Scheduling.. SBAC-PADW, page 77-82. IEEE, (2023)