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MS Student <[log in to unmask]>
Fri, 1 Nov 2019 20:00:13 +0000
MS Student <[log in to unmask]>
Tammie T Dudley <[log in to unmask]>
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To: PhD Student <[log in to unmask]>
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Towards Secure and Interpretable AI: Scalable Methods, Interactive Visualizations, and Practical Tools

Polo Chau
Associate Professor and ML Area Leader, College of Computing
Associate Director, MS Analytics
Georgia Institute of Technology

November 6, 2019

25 Park Place

Room 223 11:30am to 12:30pm

Win an exciting Door Price!!

Free Pizza and Drinks

With the tremendous growth in Artificial intelligence (AI) and machine learning (ML) recently. However, research shows that AI and ML models are often vulnerable to adversarial attacks and their predictions can be difficult to understand, evaluate and ultimately act upon.

Discovering real-world vulnerabilities of deep neural networks and countermeasures to mitigate such threats has become essential to the successful deployment of AI in security settings. We present our joint works with Intel which include the first targeted physical adversarial attack (ShapeShifter) that fools state-of-the-art object detectors; a fast defense (SHIELD) that removes digital adversarial noise by stochastic data compression; and interactive systems (ADAGIO and MLsploit) that further democratize the study of adversarial machine learning and facilitate real-time experimentation for deep learning practitioners.

Finally, we also present how scalable interactive visualization can be used to amplify people's ability to understand and interact with large-scale data and complex models. With his latest work Summit, an interactive system that scalably summarizes and visualizes what features a deep learning model has learned and how those features interact to make predictions. We conclude by highlighting the next visual analytics research frontiers in AI.

About the speaker: Dr. Polo Chau's research group bridges machine learning and visualization to synthesize scalable interactive tools for making sense of massive datasets, interpreting complex AI models, and solving real-world problems in cybersecurity, human-centered AI, graph visualization and mining, and social good. Honorable Mention.

He received awards and grants from NSF, NIH, NASA, DARPA, Intel (Intel Outstanding Researcher), Symantec, Google, Nvidia, IBM, Yahoo, Amazon, Microsoft, eBay, LexisNexis; Raytheon Faculty Fellowship; Edenfield Faculty Fellowship; Outstanding Junior Faculty Award; The Lester Endowment Award; Symantec fellowship (twice).

Thank you

Tushara Sadasivuni
Ph.D. Candidate
IEEE President at GSU | ACM Program Chair
Department of Computer Science
Georgia State University