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20172026
most citedTowards Deep Learning Models Resistant to Adversarial Attacks

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cs.DS2017

Matrix Scaling and Balancing via Box Constrained Newton's Method and Interior Point Methods

Michael B. Cohen, Aleksander Madry, Dimitris Tsipras +1

In this paper, we study matrix scaling and balancing, which are fundamental problems in scientific computing, with a long line of work on them that dates back to the 1960s. We prov…