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FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks


Jun 01, 2022
Kiarash Mohammadi, Aishwarya Sivaraman, Golnoosh Farnadi


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PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning


May 23, 2022
Sikha Pentyala, Nicola Neophytou, Anderson Nascimento, Martine De Cock, Golnoosh Farnadi


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PrivFair: a Library for Privacy-Preserving Fairness Auditing


Feb 09, 2022
Sikha Pentyala, David Melanson, Martine De Cock, Golnoosh Farnadi


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Counterexample-Guided Learning of Monotonic Neural Networks


Jun 16, 2020
Aishwarya Sivaraman, Golnoosh Farnadi, Todd Millstein, Guy Van den Broeck


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User Profiling Using Hinge-loss Markov Random Fields


Jan 05, 2020
Golnoosh Farnadi, Lise Getoor, Marie-Francine Moens, Martine De Cock


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Compiling Stochastic Constraint Programs to And-Or Decision Diagrams


Sep 23, 2019
Behrouz Babaki, Golnoosh Farnadi, Gilles Pesant


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Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns


Jun 10, 2019
YooJung Choi, Golnoosh Farnadi, Behrouz Babaki, Guy Van den Broeck


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A Fairness-aware Hybrid Recommender System


Sep 13, 2018
Golnoosh Farnadi, Pigi Kouki, Spencer K. Thompson, Sriram Srinivasan, Lise Getoor


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VirtualIdentity: Privacy-Preserving User Profiling


Aug 30, 2018
Sisi Wang, Wing-Sea Poon, Golnoosh Farnadi, Caleb Horst, Kebra Thompson, Michael Nickels, Rafael Dowsley, Anderson C. A. Nascimento, Martine De Cock


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Scalable Structure Learning for Probabilistic Soft Logic


Jul 03, 2018
Varun Embar, Dhanya Sridhar, Golnoosh Farnadi, Lise Getoor

* 8 pages, 2 figures 

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