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Matt Jordan

University of Texas at Austin

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I am interested primarily in adversarial examples and robustness of machine learning.

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Exactly Computing the Local Lipschitz Constant of ReLU Networks

Jordan Matt,Dimakis Alexandros G.

NIPS 2020, (2020)

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Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes

Matt Jordan, Justin Lewis,Alexandros G. Dimakis

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 14059-14069

Cited by10EIBibtex

Quantifying Perceptual Distortion of Adversarial Examples

Matt Jordan, Naren Manoj,Surbhi Goel,Alexandros G. Dimakis

arXiv: Machine Learning, (2019)

EIBibtex

Optimal Bidirectional Rapidly-Exploring Random Trees

Matthew Jordan,Alejandro Perez

(2013)

Cited by66Bibtex

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