Golnoosh Farnadi | DeepAI

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∙ 03/06/2023

Privacy-Preserving Fair Item Ranking

Users worldwide access massive amounts of curated data in the form of ra...

0 Jia Ao Sun, et al. ∙

∙ 09/08/2022

Analyzing the Effect of Sampling in GNNs on Individual Fairness

Graph neural network (GNN) based methods have saturated the field of rec...

5 Rebecca Salganik, et al. ∙

∙ 06/01/2022

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

Algorithmic decision making driven by neural networks has become very pr...

15 Kiarash Mohammadi, et al. ∙

∙ 05/23/2022

PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning

Group fairness ensures that the outcome of machine learning (ML) based d...

24 Sikha Pentyala, et al. ∙

∙ 02/08/2022

PrivFair: a Library for Privacy-Preserving Fairness Auditing

Machine learning (ML) has become prominent in applications that directly...

12 Sikha Pentyala, et al. ∙

∙ 06/16/2020

Counterexample-Guided Learning of Monotonic Neural Networks

The widespread adoption of deep learning is often attributed to its auto...

7 Aishwarya Sivaraman, et al. ∙

∙ 01/05/2020

User Profiling Using Hinge-loss Markov Random Fields

A variety of approaches have been proposed to automatically infer the pr...

6 Golnoosh Farnadi, et al. ∙

∙ 09/23/2019

Compiling Stochastic Constraint Programs to And-Or Decision Diagrams

Factored stochastic constraint programming (FSCP) is a formalism to repr...

0 Behrouz Babaki, et al. ∙

∙ 06/10/2019

Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns

As machine learning is increasingly used to make real-world decisions, r...

2 YooJung Choi, et al. ∙

∙ 09/13/2018

A Fairness-aware Hybrid Recommender System

Recommender systems are used in variety of domains affecting people's li...

0 Golnoosh Farnadi, et al. ∙

∙ 08/30/2018

VirtualIdentity: Privacy-Preserving User Profiling

User profiling from user generated content (UGC) is a common practice th...

0 Sisi Wang, et al. ∙

∙ 07/03/2018

Scalable Structure Learning for Probabilistic Soft Logic

Statistical relational frameworks such as Markov logic networks and prob...

4 Varun Embar, et al. ∙