{"id":4678,"date":"2023-05-10T12:47:06","date_gmt":"2023-05-10T12:47:06","guid":{"rendered":"https:\/\/ieeecscai.wpengine.com\/2023\/?page_id=4678"},"modified":"2023-05-18T07:39:41","modified_gmt":"2023-05-18T07:39:41","slug":"aditi-raghunathan","status":"publish","type":"page","link":"https:\/\/cai.ieee.org\/2023\/aditi-raghunathan\/","title":{"rendered":"Aditi Raghunathan"},"content":{"rendered":"\t\t
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Aditi Raghunathan
\nAssistant Professor, Carnegie Mellon University

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\"\"<\/p>

June 6, 2:00pm
Location: Santa Clara I<\/h5>

Panelist:\u00a0Adversarial Machine Learning: Lessons Learned, Challenges, and Opportunities<\/a><\/h4>

As artificial intelligence (AI) continues to advance in serving a diverse range of applications\u00a0including computer vision, speech recognition, healthcare and cybersecurity, adversarial\u00a0machine learning (AdvML) is not just a research topic, it has become a growing concern in\u00a0defense and commercial communities. Many real-world ML applications have not taken\u00a0adversarial attack into account during system design, thus the ML models are extremely fragile\u00a0in adversarial settings. Recent research has investigated the vulnerability of ML algorithms and various defense mechanisms. The questions surrounding this space are more pressing than ever before: Can we make AI\/ML more secure? How can we make a system robust to novel or potentially adversarial inputs? Can we use AdvML to help solve some of our industrial ML challenges? How can ML systems detect and adapt to changes in the environment over time? How can we improve maintainability and interpretability of deployed models? These questions are essential to consider in designing systems for high stakes applications. In this panel, we invite the IEEE community to join our experts in AdvML to discuss the lessons learned, challenges and opportunities in building more reliable and practical ML models by leveraging ML security and adversarial machine learning.<\/p>

\"\"<\/a>Aditi Raghunathan<\/strong> is an Assistant Professor at Carnegie Mellon University. She is interested in building robust ML systems with guarantees for trustworthy real-world deployment. Previously, she was a postdoctoral researcher at Berkeley AI Research, and received her PhD from Stanford University in 2021. Her research has been recognized by the Schmidt AI2050 Early Career Fellowship, the Arthur Samuel Best Thesis Award at Stanford, a Google PhD fellowship in machine learning, and an Open Philanthropy AI fellowship.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Aditi Raghunathan Assistant Professor, Carnegie Mellon University June 6, 2:00pmLocation: Santa Clara I Panelist:\u00a0Adversarial Machine Learning: Lessons Learned, Challenges, and Opportunities As artificial intelligence (AI) continues to advance in serving a diverse range of applications\u00a0including computer vision, speech recognition, healthcare and cybersecurity, adversarial\u00a0machine learning (AdvML) is not just a research topic, it has become a […]<\/p>\n","protected":false},"author":5,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":"","_members_access_role":[],"_members_access_error":""},"class_list":["post-4678","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/cai.ieee.org\/2023\/wp-json\/wp\/v2\/pages\/4678","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cai.ieee.org\/2023\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cai.ieee.org\/2023\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cai.ieee.org\/2023\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/cai.ieee.org\/2023\/wp-json\/wp\/v2\/comments?post=4678"}],"version-history":[{"count":0,"href":"https:\/\/cai.ieee.org\/2023\/wp-json\/wp\/v2\/pages\/4678\/revisions"}],"wp:attachment":[{"href":"https:\/\/cai.ieee.org\/2023\/wp-json\/wp\/v2\/media?parent=4678"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}