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A Context-aware Black-box Adversarial Attack for Deep Driving Maneuver Classification Models., , и . SECON, стр. 1-9. IEEE, (2021)Efficient Black-Box Adversarial Attacks for Deep Driving Maneuver Classification Models., , , и . MASS, стр. 536-544. IEEE, (2021)AntiqueData: A Proxy to Maintain Computational Transparency in Cloud., , , и . DASFAA Workshops, том 8505 из Lecture Notes in Computer Science, стр. 256-267. Springer, (2014)A Real-Time Crowd-Powered Testbed for Content Assessment of Potential Social Media Posts., , , , , и . SocInfo, том 9471 из Lecture Notes in Computer Science, стр. 136-152. Springer, (2015)Distributed Training for Deep Learning Models On An Edge Computing Network Using Shielded Reinforcement Learning., и . ICDCS, стр. 581-591. IEEE, (2022)Query-Efficient and Imperceptible Attacks on Multivariate Time Series DNN Models., , , , и . IFIP Networking, стр. 1-9. IEEE, (2022)A Diverse Noise-Resilient DNN Ensemble Model on Edge Devices for Time-Series Data., , , и . SECON, стр. 1-9. IEEE, (2021)NoiseSenseDNN: Modeling DNN for Sensor Data to Mitigate the Effect of Noise in Edge Devices., , и . MASS, стр. 374-382. IEEE, (2020)Impact of Memory DoS Attacks on Cloud Applications and Real-Time Detection Schemes., , , и . ICPP, стр. 67:1-67:11. ACM, (2020)An Approach to Protect the Privacy of Cloud Data from Data Mining Based Attacks., , , и . SC Companion, стр. 1106-1115. IEEE Computer Society, (2012)