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Output-Directed Dynamic Quantization for DNN Acceleration., , , , , , , и . ICPP, стр. 645-654. ACM, (2023)SCAGuard: Detection and Classification of Cache Side-Channel Attacks via Attack Behavior Modeling and Similarity Comparison., , и . DAC, стр. 1-6. IEEE, (2023)Position-Aware Recalibration Module: Learning From Feature Semantics and Feature Position., и . IJCAI, стр. 797-803. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..auto-AID: A data mining framework for autonomic anomaly identification in networked computer systems., и . IPCCC, стр. 73-80. IEEE Computer Society, (2010)AFD: Adaptive failure detection system for cloud computing infrastructures., , , и . IPCCC, стр. 71-80. IEEE Computer Society, (2012)An Anomaly Detection Framework for Autonomic Management of Compute Cloud Systems., , и . COMPSAC Workshops, стр. 376-381. IEEE Computer Society, (2010)Anomaly detection in large-scale coalition clusters for dependability assurance., , и . HiPC, стр. 1-10. IEEE Computer Society, (2010)Empirical Studies of the Soft Error Susceptibility ofSorting Algorithms to Statistical Fault Injection., , , и . FTXS@HPDC, стр. 35-40. ACM, (2015)Verifying and Quantifying Side-channel Resistance of Masked Software Implementations., , , и . ACM Trans. Softw. Eng. Methodol., 28 (3): 16:1-16:32 (2019)An Automata-Theoretic Approach to Synthesizing Binarized Neural Networks., , , , , и . ATVA (1), том 14215 из Lecture Notes in Computer Science, стр. 380-400. Springer, (2023)