Oct 26 at 12pm (Zoom) -- Chen Dan (CMU CSD) -- Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification -- AI Seminar sponsored by Morgan Stanley

[Shaojie Bai]

Dear all,

We look forward to seeing you *next Tuesday (10/26)* from *1**2:00-1:00 PM
(U.S. Eastern time)* for the next talk of our *CMU AI seminar*, sponsored
by Morgan Stanley <https://www.morganstanley.com/about-us/technology/>.

To learn more about the seminar series or see the future schedule, please
visit the seminar website <http://www.cs.cmu.edu/~aiseminar/>.

On 10/26, *Chen Dan* (CMU CSD) will be giving a talk on "*Sharp Statistical
Guarantees for Adversarially Robust Gaussian Classification*".

*Title*: Sharp Statistical Guarantees for Adversarially Robust Gaussian
Classification

*Talk Abstract*: Adversarial robustness has become a fundamental
requirement in modern machine learning applications. Yet, there has been
surprisingly little statistical understanding so far. In this work, we
provide the first result of the optimal minimax guarantees for the excess
risk for adversarially robust classification, under a Gaussian mixture
model studied by Schmidt et al. 2018. The results are stated in terms of
the Adversarial Signal-to-Noise Ratio (AdvSNR), which generalizes a similar
notion for standard linear classification to the adversarial setting. We
establish an excess risk lower bound and design a computationally efficient
estimator that achieves this optimal rate. Our results built upon a minimal
set of assumptions while covering a wide spectrum of adversarial
perturbations including L_p balls for any p>1. Joint work with Yuting Wei
and Pradeep Ravikumar.

*Speaker Bio*:  Chen Dan is a 6th year Ph.D. student at Computer Science
Department, Carnegie Mellon University, advised by Pradeep Ravikumar. His
research interest is in the broad area of robust statistical learning, with
an emphasis on the theoretical understanding and practical algorithms for
learning under various types of adversarial distribution shift. Prior to
joining CMU, Chen received his bachelor degree from School of EECS, Peking
University in 2016.

*Zoom Link*:
https://cmu.zoom.us/j/93155268338?pwd=VVZYTFFEMTNLZlJVY1NmU1c3cXUzZz09

Thanks,
Shaojie Bai (MLD)
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