In our second post we described attacks on models and the concepts of input privacy and output privacy . ln our last post , we described horizontal and vertical partitioning of data in privacy-preserving federated learning (PPFL) systems. In this post, we explore the problem of providing input privacy in PPFL systems for the horizontally-partitioned setting. Models, training, and aggregation To explore techniques for input privacy in PPFL, we first have to be more precise about the training process. In horizontally-partitioned federated learning, a common approach is to ask each participant to ..read more

Last November, I was pleased to chair the most recent meeting of the Interagency International Cybersecurity Standardization Working Group (IICSWG) – a group NIST created in 2016. Our charge, from the Cybersecurity Enhancement Act of 2014, was to build a coordination mechanism for government agencies to discuss international cybersecurity standardization issues, consistent with agencies’ responsibilities under OMB Circular A-119. Since then, IICSWG has grown as a forum to discuss cybersecurity and privacy standardization topics, examine the overall cybersecurity standardization landscape ..read more

This post is part of a series on privacy-preserving federated learning. The series is a collaboration between NIST and the UK government’s Responsible Technology Adoption Unit (RTA), previously known as the Centre for Data Ethics and Innovation. Learn more and read all the posts published to date at NIST’s Privacy Engineering Collaboration Space or RTA’s blog . Our first post in the series introduced the concept of federated learning and described how it’s different from traditional centralized learning - in federated learning, the data is distributed among participating organizations, and ..read more

NIST CSF 2.0 QUICK LINKS | Explore our Full Suite of Resources: CSF 2.0 Quick Start Guides CSF 2.0 Profiles CSF 2.0 Informative References Cybersecurity & Privacy Reference Tool (CPRT) CSF 2.0 Reference Tool CSF 2.0 Website ( Homepage ) Official NIST News Announcement The NIST Cybersecurity Framework (CSF) development process all started with Executive Order (EO)13636 over a decade ago, which called for building a set of approaches ( a framework ) for reducing risks to critical infrastructure. Through this EO, NIST was tasked with developing a "Cybersecurity Framework." We knew that, to do ..read more

What is National Entrepreneurship (NatlEshipWeek) Week? Celebrated February 10-17, 2024, “NatlEshipWeek is a congressionally chartered week dedicated to empowering entrepreneurship across the United States. The annual initiative was relaunched in 2017 as NatlEshipWeek to bring together a network of partners from Maui to Miami to educate, engage, and build equitable access to America's Entrepreneurship Ecosystem.” Follow along online with #NatlEshipWeek. You can learn more about the initiative here: https://www.natleshipweek.org/about . Supporting Entrepreneurship is at the Heart of NIST’s ..read more

With the new year under way, NIST is continuing to engage with our international partners to enhance cybersecurity. Here are some updates on our international work from the end of 2023 into the beginning of 2024: Conversations have continued with our partners throughout the world on the update to the NIST Cybersecurity Framework (CSF) 2.0 . The current Draft CSF 2.0 has been shared in a public comment period that ended in November 2023. Stay tuned for the final version to be published soon! NIST international engagement continues through our support to the Department of State and the ..read more

It’s been four years since the release of The NIST Privacy Framework: A Tool for Improving Privacy Through Enterprise Risk Management, Version 1.0. Since then, many organizations have found it highly valuable for building or improving their privacy programs. We’ve also been able to add a variety of resources to support its implementation. We’re proud of how much has been accomplished in just a few short years, but we’re not resting on our laurels. As another, more famous, Dylan once said, “the times they are a-changin’.” For example, the past year has seen the release of the NIST AI Risk ..read more

This post is part of a series on privacy-preserving federated learning. The series is a collaboration between NIST and the UK government’s Centre for Data Ethics and Innovation. Learn more and read all the posts published to date at NIST’s Privacy Engineering Collaboration Space or the CDEI blog . Our first post in the series introduced the concept of federated learning—an approach for training AI models on distributed data by sharing model updates instead of training data. At first glance, federated learning seems to be a perfect fit for privacy since it completely avoids sharing data ..read more

Words like “metaverse” and “augmented reality” may conjure up thoughts of friends in headsets wielding virtual sabers or folks roaming the streets at night in search of PokéStops. Virtual, augmented, and mixed reality technologies (“immersive technologies”) have entered the popular conscience thanks in part to the success of games, but their applications go well beyond new experiences in entertainment. They are already being utilized to increase access to education , improve manufacturing , bolster accessibility , and train workforces in healthcare and retail . Immersive technologies have the ..read more

In August 2023 the Digital Identity Guidelines team hosted a two-day workshop to provide a public update on the status of revision 4. As part of that session, we committed to providing further information on the status of each volume going forward. In fulfillment of this commitment, we wanted to offer a quick update on where we stand. Our goal remains to have the next version of each volume out by the Spring of 2024. With our gratitude for the robust and substantive engagement we received during the comment period, at this time we would like to announce that all four volumes of Special ..read more