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Silent Killer: Optimizing Backdoor Trigger Yields a Stealthy and Powerful Data Poisoning Attack


Jan 05, 2023
Tzvi Lederer, Gallil Maimon, Lior Rokach

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Cross Version Defect Prediction with Class Dependency Embeddings


Dec 29, 2022
Moti Cohen, Lior Rokach, Rami Puzis

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Transfer learning for time series classification using synthetic data generation


Jul 16, 2022
Yarden Rotem, Nathaniel Shimoni, Lior Rokach, Bracha Shapira

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* This preprint has not undergone peer review or any post-submission im- provement or corrections. The Version of Record of this contribution is published in LNCS 13301, CSCML 2022, and is available online at https://link.springer.com/chapter/10.1007/978-3-031-07689-3 18 

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A Universal Adversarial Policy for Text Classifiers


Jun 19, 2022
Gallil Maimon, Lior Rokach

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* Accepted for publication in Neural Networks (2022), see https://doi.org/10.1016/j.neunet.2022.06.018 

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Deepchecks: A Library for Testing and Validating Machine Learning Models and Data


Mar 16, 2022
Shir Chorev, Philip Tannor, Dan Ben Israel, Noam Bressler, Itay Gabbay, Nir Hutnik, Jonatan Liberman, Matan Perlmutter, Yurii Romanyshyn, Lior Rokach

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Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation


Oct 29, 2021
Seffi Cohen, Niv Goldshlager, Lior Rokach, Bracha Shapira

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Enhancing Real-World Adversarial Patches with 3D Modeling Techniques


Feb 10, 2021
Yael Mathov, Lior Rokach, Yuval Elovici

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Automatic selection of clustering algorithms using supervised graph embedding


Nov 16, 2020
Noy Cohen-Shapira, Lior Rokach

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Approximating Aggregated SQL Queries With LSTM Networks


Nov 02, 2020
Nir Regev, Lior Rokach, Asaf Shabtai

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* 12 pages, 5 figures, ICDE2021 

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