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Globally-Robust Neural Networks

Feb 16, 2021
Klas Leino, Zifan Wang, Matt Fredrikson

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Smoothed Geometry for Robust Attribution

Jun 11, 2020
Zifan Wang, Haofan Wang, Shakul Ramkumar, Matt Fredrikson, Piotr Mardziel, Anupam Datta

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Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness

Feb 24, 2020
Samuel Yeom, Matt Fredrikson

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Interpreting Interpretations: Organizing Attribution Methods by Criteria

Feb 19, 2020
Zifan Wang, PiotrPiotr Mardziel, Anupam Datta, Matt Fredrikson

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Fast Geometric Projections for Local Robustness Certification

Feb 12, 2020
Aymeric Fromherz, Klas Leino, Matt Fredrikson, Bryan Parno, Corina Păsăreanu

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Learning Fair Representations for Kernel Models

Jun 27, 2019
Zilong Tan, Samuel Yeom, Matt Fredrikson, Ameet Talwalkar

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Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference

Jun 27, 2019
Klas Leino, Matt Fredrikson

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FlipTest: Fairness Auditing via Optimal Transport

Jun 24, 2019
Emily Black, Samuel Yeom, Matt Fredrikson

* 11 pages, 4 figures 

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Feature-Wise Bias Amplification

Dec 21, 2018
Klas Leino, Matt Fredrikson, Emily Black, Shayak Sen, Anupam Datta

* To be published in ICLR 2019 

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Hunting for Discriminatory Proxies in Linear Regression Models

Nov 02, 2018
Samuel Yeom, Anupam Datta, Matt Fredrikson

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Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting

May 04, 2018
Samuel Yeom, Irene Giacomelli, Matt Fredrikson, Somesh Jha

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Influence-Directed Explanations for Deep Convolutional Networks

Feb 11, 2018
Klas Leino, Linyi Li, Shayak Sen, Anupam Datta, Matt Fredrikson

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Case Study: Explaining Diabetic Retinopathy Detection Deep CNNs via Integrated Gradients

Oct 18, 2017
Linyi Li, Matt Fredrikson, Shayak Sen, Anupam Datta

* This report has been withdrawn as it needs co-authors' permission and further verification of conclusions 

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Proxy Non-Discrimination in Data-Driven Systems

Jul 25, 2017
Anupam Datta, Matt Fredrikson, Gihyuk Ko, Piotr Mardziel, Shayak Sen

* arXiv admin note: substantial text overlap with arXiv:1705.07807 

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The Limitations of Deep Learning in Adversarial Settings

Nov 24, 2015
Nicolas Papernot, Patrick McDaniel, Somesh Jha, Matt Fredrikson, Z. Berkay Celik, Ananthram Swami

* Accepted to the 1st IEEE European Symposium on Security & Privacy, IEEE 2016. Saarbrucken, Germany 

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