Differential privacy
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Preserving privacy in analyses of textual data
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Amazon prides itself on being the most customer-centric company on earth. That means maintaining the highest possible standards of both security and privacy ...

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Web Search and Data Mining conference is “extraordinarily selective”
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Amazon has strong ties to the Web Search and Data Mining (WSDM) conference, which starts next week in Houston. Amazon is a gold sponsor of the conference, ...

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Amazon Scholars Michael Kearns and Aaron Roth discuss the ethics of machine learning
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In November of 2019, University of Pennsylvania computer science professors Michael Kearns and Aaron Roth released The Ethical Algorithm: The Science of ...

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USC and Amazon establish Center for Secure and Trusted Machine Learning
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USC and Amazon today announced they are creating a joint research center focused on development of new approaches to machine learning (ML) privacy, ...

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Amazon Scholars Michael Kearns and Aaron Roth win 2021 PROSE Award
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Amazon Scholars and University of Pennsylvania computer science professors Michael Kearns and Aaron Roth have been awarded a 2021 PROSE Award by the ...

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Improving the accuracy of privacy-preserving neural networks
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Differential privacy provides a way to quantify the privacy risks posed by aggregate statistics based on private data. One of its key ideas is that adding ...

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Amazon helps launch workshop on synthetic data generation
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We are excited to announce the first Workshop on Synthetic Data Generation, to be held virtually at ICLR 2021 on May 7, 2021.Synthetic data is a powerful ...

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3 questions with Michael Kearns: Designing socially aware algorithms and models
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The first Amazon Web Services (AWS) Machine Learning Summit on June 2 will bring together customers, developers, and the science community to learn about ...

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Amazon wins best-paper award for protecting privacy of training data
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Differential privacy is a popular technique that provides a way to quantify the privacy risk of releasing aggregate statistics based on individual data. In ...

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Finding — and preventing — vulnerabilities in machine learning models
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How does your brain know that a stop sign is a stop sign? Computer vision architects attempt to answer this question for many objects, from birds in the ...

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