Model Based Robust Deep Learning

... advisors mohamed hassani and george pappas at penn that we're calling

Workshop on Equivariance and Data Augmentation Website: https://sites.google.com/view/equiv-data-aug/home Friday, ...

In this video I discuss the paper "The Evolution of Out-of-Distribution

Recorded on December 10, 2020, this video features a research talk from the UC Berkeley Center for Long-Term Cybersecurity's ...

... our work on

... our work about certifiable

Lecture 6 of a 6-lecture series on the Foundations of

MICRO 2020 talk by Yiming Gan.

... shift from perturbation-based adversarial robustness toward a new framework called "

Ye Wang presents his paper titled "

For more information about Stanford's Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai October ...

37 VI seminar: Ali Ramezani-Kebrya, an associate professor at the University of Oslo, provided a talk on his research for the VI ...

Jerry Li (Microsoft Research) https://simons.berkeley.edu/talks/tbd-62 Frontiers of

Unlock the potential of topology optimization in

For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai ...

Zack Lipton (Carnegie Mellon University) https://simons.berkeley.edu/talks/tbd-53 Frontiers of

This video belongs to our paper submitted to IEEE 22nd International Conference on Information Fusion 2019 in Ottawa, Canada: ...

This talk gives a 5-minute overview of my PhD research work on adversarial

By considering light

In this work, we propose an Imitation