[CMU AI Seminar] April 4 at 12pm (GHC 6115 & Zoom) -- Rattana Pukdee (CMU) -- Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games -- AI Seminar sponsored by SambaNova Systems

[Asher Trockman]

Dear all,

We look forward to seeing you *this Tuesday (4/4)* from *1**2:00-1:00 PM
(U.S. Eastern time)* for the next talk of this semester's *CMU AI Seminar*,
sponsored by SambaNova Systems <https://sambanova.ai/>. The seminar will be
held in GHC 6115 *with pizza provided *and will be streamed on Zoom.

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

This Tuesday (4/4), *Rattana Pukdee* (CMU) will be giving a talk
titled *"**Nash
Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness
Games**".*

*Title*: Nash Equilibria and Pitfalls of Adversarial Training in
Adversarial Robustness Games

*Talk Abstract*: In this talk, we will look at the problem of learning
adversarially robust models from the perspective of a 2-player zero-sum
game. We will show that even in a simple scenario of a linear classifier
and a statistical model that abstracts robust vs. non-robust features, the
alternating best response strategy (which resembles adversarial training)
of such a game may not converge. On the other hand, a unique pure Nash
equilibrium of the game exists and is provably robust. We support our
theoretical results with experiments, showing the non-convergence of
adversarial training and the robustness of Nash equilibrium.

*Speaker Bio:* Rattana Pukdee is a second-year PhD student in the Machine
Learning Department at Carnegie Mellon University, working with Nina Balcan
and Pradeep Ravikumar. His current research interests are in learning with
domain knowledge and reliable machine learning. Previously, he received a
Master in Mathematics from the University of Oxford.

*In person: *GHC 6115
*Zoom Link*:
https://cmu.zoom.us/j/99510233317?pwd=ZGx4aExNZ1FNaGY4SHI3Qlh0YjNWUT09

Thanks,
Asher Trockman
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