Simson Garfinkel, Senior Computer Scientist for Confidentiality and Data Access at the US Census Bureau, discusses his work modernizing the Census Bureau disclosure avoidance system from private to public disclosure avoidance techniques using differential privacy. Some of the discussion revolves around the topics in the paper <a style= "box-sizing: border-box; background-color: #ffffff; color: #337ab7; text-decoration: none; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px;" href="https://arxiv.org/abs/2009.03777">Randomness Concerns When Deploying Differential Privacy</a>.   WORKS MENTIONED: <ul> <li>“<a href= "https://link.springer.com/chapter/10.1007/11681878_14">Calibrating Noise to Sensitivity in Private Data Analysis</a>” by Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam Smith</li> <li>"<a style= "font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif;" href="https://dl.acm.org/doi/10.1145/3267323.3268949">Issues Encountered Deploying Differential Privacy</a>" by Simson L Garfinkel, John M Abowd, and Sarah Powazek</li> <li>"<a style= "font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif;" href="https://arxiv.org/abs/2009.03777">Randomness Concerns When Deploying Differential Privacy</a>" by Simson L. Garfinkel and Philip Leclerc </li> </ul> Check out: https://simson.net/page/Differential_privacy Thank you to our sponsor, BetterHelp. Professional and confidential in-app counseling for everyone. Save 10% on your first month of services with www.betterhelp.com/dataskeptic

Sybil Attacks on Federated Learning

The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.