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A quantum active learning algorithm for sampling against adversarial attacks
NewJournalofPhysics
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USENIX Enigma 2017 — Adversarial Examples in Machine Learning
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Stanford CS230: Deep Learning | Autumn 2018 | Lecture 4 - Adversarial Attacks / GANs
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AQC 2016 - A Quantum-Assisted Algorithm for Sampling Applications in Machine Learning
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Quantum Adversarial Machine Learning
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Adversarial Machine Learning explained! | With examples.
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Active Learning of Fast Bayesian Mapped Gaussian Processes
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Overview of Adversarial Machine Learning
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Ruizhe Zhang - Quantum Speedups of Continuous Sampling and Optimization Problems - IPAM at UCLA
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Hardening Machine Learning Defenses Against Adversarial Attacks - presented by Jugal Parikh
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