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The Dilemma Between Data Transformations and Adversarial Robustness for Time Series Application Systems.

, и . SafeAI@AAAI, том 3087 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)

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Jose Alemany

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Using Candlestick Charting and Dynamic Time Warping for Data Behavior Modeling and Trend Prediction for MWSN in IoT., , , и . IEEE BigData, стр. 2884-2889. IEEE, (2018)Towards Parametric Robust Activation Functions in Adversarial Machine Learning., , , и . Tiny Papers @ ICLR, OpenReview.net, (2023)The Dilemma Between Data Transformations and Adversarial Robustness for Time Series Application Systems., и . SafeAI@AAAI, том 3087 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)A Dynamic Trust Weight Allocation Technique for Data Reconstruction in Mobile Wireless Sensor Networks., , , и . TrustCom/BigDataSE, стр. 61-67. IEEE, (2018)Jespipe: A Plugin-Based, Open MPI Framework for Adversarial Machine Learning Analysis., , и . IEEE BigData, стр. 3663-3670. IEEE, (2021)Context-Aware Data Cleaning for Mobile Wireless Sensor Networks: A Diversified Trust Approach., , , , , и . ICNC, стр. 226-230. IEEE Computer Society, (2018)Predicting Hurricane Trajectories using a Recurrent Neural Network., , , и . CoRR, (2018)Quantifying location privacy in permissioned blockchain-based internet of things (IoT)., , , , , , и . MobiQuitous, стр. 116-125. ACM, (2019)Predicting Hurricane Trajectories Using a Recurrent Neural Network., , , и . AAAI, стр. 468-475. AAAI Press, (2019)