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Iron-Dome: Securing IoT Networked Systems at Runtime by Network and Device Characteristics to Confine Malware Epidemics.

, , , , and . ICCD, page 259-262. IEEE, (2022)

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A Comprehensive Study of Visual Event Computing, , , and . Multimedia Tools and Applications, 55 (3): 443--481 (December 2011)Using Transfer Learning Approach to Implement Convolutional Neural Network model to Recommend Airline Tickets by Using Online Reviews., and . SMAP, page 1-6. IEEE, (2020)Repttack: Exploiting Cloud Schedulers to Guide Co-Location Attacks., , , , , , , and . NDSS, The Internet Society, (2022)Efficient utilization of adversarial training towards robust machine learners and its analysis., , , and . ICCAD, page 78. ACM, (2018)MEDIALIFE: from images to a life chronicle., , , and . SIGMOD Conference, page 1119-1122. ACM, (2009)Cloak & Co-locate: Adversarial Railroading of Resource Sharing-based Attacks on the Cloud., , , , , , and . SEED, page 1-13. IEEE, (2021)RAFeL - Robust and Data-Aware Federated Learning-inspired Malware Detection in Internet-of-Things (IoT) Networks., , , , and . ACM Great Lakes Symposium on VLSI, page 153-157. ACM, (2022)Automated Supervised Topic Modeling Framework for Hardware Weaknesses., , , , , , and . ISQED, page 1-8. IEEE, (2023)StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features., , , , , , , and . ACM Great Lakes Symposium on VLSI, page 175-180. ACM, (2020)Introducing an Open-Source Python Toolkit for Machine Learning Research in Physiological Signal based Affective Computing., , , , , and . BIBM, page 1890-1894. IEEE, (2023)