Search Results for author: Aleksander Mądry

Found 4 papers, 2 papers with code

Certified Patch Robustness via Smoothed Vision Transformers

1 code implementation11 Oct 2021 Hadi Salman, Saachi Jain, Eric Wong, Aleksander Mądry

Certified patch defenses can guarantee robustness of an image classifier to arbitrary changes within a bounded contiguous region.

Leveraging Sparse Linear Layers for Debuggable Deep Networks

2 code implementations11 May 2021 Eric Wong, Shibani Santurkar, Aleksander Mądry

We show how fitting sparse linear models over learned deep feature representations can lead to more debuggable neural networks.

Adversarially Robust Generalization Requires More Data

no code implementations NeurIPS 2018 Ludwig Schmidt, Shibani Santurkar, Dimitris Tsipras, Kunal Talwar, Aleksander Mądry

We postulate that the difficulty of training robust classifiers stems, at least partially, from this inherently larger sample complexity.

General Classification Image Classification

A Classification-Based Study of Covariate Shift in GAN Distributions

no code implementations ICML 2018 Shibani Santurkar, Ludwig Schmidt, Aleksander Mądry

A basic, and still largely unanswered, question in the context of Generative Adversarial Networks (GANs) is whether they are truly able to capture all the fundamental characteristics of the distributions they are trained on.

Classification General Classification

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