"Frontiers in Big Data" has launched a new Research Topic, "Adversarial Machine Learning for Robust Prediction". As a leading expert in your field, we would like you to participate by submitting your research. This is a great opportunity to have your research published in Frontiers in Big Data. Led by Field Chief Editor Huan Liu, it is at the forefront of data-driven sciences and how acquiring intelligence from information can help address the global challenges of humankind. YES - I would like to participate: https://research-topic-management-app.frontiersin.org/manage/contributor-confirms-participation?activationkey=00000000-0000-0000-0000-000000000000 Topic Editors: Dr. Yang Zhou, Auburn University, Auburn, United States Dr. Neil Gong, Duke University, Durham, United States Dr. Ting Wang, Pennsylvania State University, University Park, United States Visit the homepage for this Research Topic for a full description of the project:https://www.frontiersin.org/research-topics/20732 Help to make this collection even more successful by alerting other experts in the field who could submit their own article. Simply copy and send the following link to your colleagues:https://www.frontiersin.org/research-topics/20732/adversarial-machine-learning-for-robust-prediction/participate-in-open-access-research-topic?affilateid=00000000-0000-0000-0000-000000000000 The submission deadline for this Research Topic is 21 September 2021. Click here to let us know if you don’t wish to participate this time: https://research-topic-management-app.frontiersin.org/manage/contributor-declines-participation?activationkey=00000000-0000-0000-0000-000000000000 More about Research Topics ------------------------------------------------------------------------------------------------------ Frontiers’ Research Topics are collections of peer-reviewed articles around an emerging or cutting-edge theme. As a contributing author, you will benefit from: • high visibility and the chance to be included in a downloadable ebook • rigorous, transparent and fast peer-review for your article • publication throughout the year, as soon as your article is accepted • advanced impact metrics ------------------------------------------------------------------------------------------------------- More about publishing with us ------------------------------------------------------------------------------------------------------ • Articles will be peer-reviewed and, if accepted for publication, are subject to publishing fees: (https://www.frontiersin.org/about/publishing-fees ). All applications for fees support: (https://frontiers.qualtrics.com/jfe/form/SV_51IljifwFBXUzY1) are considered. • We collaborate with leading institutions to make open access publishing even more accessible for authors. See whether your institution is collaborating with us: (https://www.frontiersin.org/about/institutional-membership ). ------------------------------------------------------------------------------------------------------ I look forward to your response. Kind Regards, Yang Zhou Topic Editor, Machine Learning and Artificial Intelligence Section, Frontiers in Big Data On behalf of the Topic Editors. Research Topics can be listed in more than one journal. A list of contributing journals and sections is included on the homepage for this Research Topic: https://www.frontiersin.org/research-topics/20732. Please choose the most relevant option when submitting your article. Check each journal page for information about its scope, accepted article types and APCs. Frontiers is committed to providing you with relevant updates in your field. If you do not want to receive any updates from Frontiers, you can unsubscribe by forwarding your request to support@frontiersin.org. If you wish to learn about how we protect personal data, you can read our Privacy Policy available on our website.