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White kidney bean extract as a nutraceutical: effects on gut microbiota, alpha-amylase inhibition, and user experiences
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- Gut Microbiome / Volume 4 / 2023
- Published online by Cambridge University Press:
- 01 June 2023, e8
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A qualitative assessment of the diagnosis and management of ventilator-associated pneumonia among critical care clinicians exploring opportunities for diagnostic stewardship
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- Infection Control & Hospital Epidemiology / Volume 43 / Issue 3 / March 2022
- Published online by Cambridge University Press:
- 16 April 2021, pp. 284-290
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- March 2022
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00001 Demographic disparities in proximity to stroke care in the United States
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- Journal of Clinical and Translational Science / Volume 5 / Issue s1 / March 2021
- Published online by Cambridge University Press:
- 30 March 2021, p. 26
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9 - Adversarial Machine Learning Challenges
- from Part IV - Future Directions in Adversarial Machine Learning
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- Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019, pp 241-252
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5 - Availability Attack Case Study: SpamBayes
- from Part II - Causative Attacks on Machine Learning
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- Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019, pp 105-133
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6 - Integrity Attack Case Study: PCA Detector
- from Part II - Causative Attacks on Machine Learning
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- Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019, pp 134-164
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Part IV - Future Directions in Adversarial Machine Learning
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- Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019, pp 239-240
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4 - Attacking a Hypersphere Learner
- from Part II - Causative Attacks on Machine Learning
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- Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019, pp 69-104
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Part I - Overview of Adversarial Machine Learning
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- Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019, pp 1-2
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Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019
Acknowledgments
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- Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019, pp xiii-xiv
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3 - A Framework for Secure Learning
- from Part I - Overview of Adversarial Machine Learning
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- Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019, pp 29-66
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Appendix D: Full Proofs for Near-Optimal Evasion
- from Part V - Appendixes
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- Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019, pp 285-294
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Index
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- Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019, pp 322-325
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List of Symbols
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- Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019, pp xi-xii
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Part II - Causative Attacks on Machine Learning
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- Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019, pp 67-68
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2 - Background and Notation
- from Part I - Overview of Adversarial Machine Learning
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- Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019, pp 20-28
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Part III - Exploratory Attacks on Machine Learning
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- Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019, pp 165-166
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1 - Introduction
- from Part I - Overview of Adversarial Machine Learning
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- Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019, pp 3-19
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Appendix C: Analysis of SpamBayes
- from Part V - Appendixes
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- Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019, pp 276-284
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