Golnoosh Farnadi

According to our database, Golnoosh Farnadi authored at least 59 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multilingual Hallucination Gaps in Large Language Models.

Cléa Chataigner, Afaf Taïk, Golnoosh Farnadi

CoRR, 2024

FairLoRA: Unpacking Bias Mitigation in Vision Models with Fairness-Driven Low-Rank Adaptation.

Rohan Sukumaran, Aarash Feizi, Adriana Romero-Soriano, Golnoosh Farnadi

CoRR, 2024

Hallucination Detox: Sensitive Neuron Dropout (SeND) for Large Language Model Training.

Shahrad Mohammadzadeh, Juan David Guerra, Marco Bonizzato, Reihaneh Rabbany, Golnoosh Farnadi

CoRR, 2024

On the Implicit Relation Between Low-Rank Adaptation and Differential Privacy.

Saber Malekmohammadi, Golnoosh Farnadi

CoRR, 2024

Understanding the Local Geometry of Generative Model Manifolds.

Ahmed Imtiaz Humayun, Ibtihel Amara, Candice Schumann, Golnoosh Farnadi, Negar Rostamzadeh, Mohammad Havaei

CoRR, 2024

Trust No Bot: Discovering Personal Disclosures in Human-LLM Conversations in the Wild.

Niloofar Mireshghallah, Maria Antoniak, Yash More, Yejin Choi, Golnoosh Farnadi

CoRR, 2024

Towards More Realistic Extraction Attacks: An Adversarial Perspective.

Yash More, Prakhar Ganesh, Golnoosh Farnadi

CoRR, 2024

Mitigating Disparate Impact of Differential Privacy in Federated Learning through Robust Clustering.

Saber Malekmohammadi, Afaf Taïk, Golnoosh Farnadi

CoRR, 2024

Understanding Intrinsic Socioeconomic Biases in Large Language Models.

Mina Arzaghi, Florian Carichon, Golnoosh Farnadi

CoRR, 2024

Advancing Cultural Inclusivity: Optimizing Embedding Spaces for Balanced Music Recommendations.

Armin Moradi, Nicola Neophytou, Golnoosh Farnadi

CoRR, 2024

Fairness Incentives in Response to Unfair Dynamic Pricing.

Jesse Thibodeau, Hadi Nekoei, Afaf Taïk, Janarthanan Rajendran, Golnoosh Farnadi

CoRR, 2024

Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities.

Golnoosh Farnadi, Mohammad Havaei, Negar Rostamzadeh

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Balancing Act: Constraining Disparate Impact in Sparse Models.

Meraj Hashemizadeh, Juan Ramirez, Rohan Sukumaran, Golnoosh Farnadi, Simon Lacoste-Julien, Jose Gallego-Posada

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Fairness Through Domain Awareness: Mitigating Popularity Bias for Music Discovery.

Rebecca Salganik, Fernando Diaz, Golnoosh Farnadi

Proceedings of the Advances in Information Retrieval, 2024

From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards.

Khaoula Chehbouni, Megha Roshan, Emmanuel Ma, Futian Andrew Wei, Afaf Taïk, Jackie Chi Kit Cheung, Golnoosh Farnadi

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Learning to Build Solutions in Stochastic Matching Problems Using Flows (Student Abstract).

William St-Arnaud, Margarida Carvalho, Golnoosh Farnadi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Promoting Fair Vaccination Strategies through Influence Maximization: A Case Study on COVID-19 Spread.

Nicola Neophytou, Afaf Taïk, Golnoosh Farnadi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces.

Ahmad-Reza Ehyaei, Kiarash Mohammadi, Amir-Hossein Karimi, Samira Samadi, Golnoosh Farnadi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness.

Ahmad-Reza Ehyaei, Golnoosh Farnadi, Samira Samadi

CoRR, 2023

Social Media as a Vector for Escort Ads: A Study on OnlyFans advertisements on Twitter.

Maricarmen Arenas, Pratheeksha Nair, Reihaneh Rabbany, Golnoosh Farnadi

Proceedings of the 15th ACM Web Science Conference 2023, 2023

Tidying Up the Conversational Recommender Systems' Biases.

Armin Moradi, Golnoosh Farnadi

Proceedings of the Fifth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

Privacy-Preserving Fair Item Ranking.

Jia Ao Sun, Sikha Pentyala, Martine De Cock, Golnoosh Farnadi

Proceedings of the Advances in Information Retrieval, 2023

Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements.

Maryam Molamohammadi, Afaf Taïk, Nicolas Le Roux, Golnoosh Farnadi

Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

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

Kiarash Mohammadi, Aishwarya Sivaraman, Golnoosh Farnadi

Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

2022

A taxonomy of weight learning methods for statistical relational learning.

Sriram Srinivasan, Charles Dickens, Eriq Augustine, Golnoosh Farnadi, Lise Getoor

Mach. Learn., 2022

Analyzing the Effect of Sampling in GNNs on Individual Fairness.

Rebecca Salganik, Fernando Diaz, Golnoosh Farnadi

CoRR, 2022

PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning.

Sikha Pentyala, Nicola Neophytou, Anderson C. A. Nascimento, Martine De Cock, Golnoosh Farnadi

CoRR, 2022

PrivFair: a Library for Privacy-Preserving Fairness Auditing.

Sikha Pentyala, David Melanson, Martine De Cock, Golnoosh Farnadi

CoRR, 2022

Algorithmic Fairness through the Lens of Causality and Privacy (AFCP) 2022.

Awa Dieng, Miriam Rateike, Golnoosh Farnadi, Ferdinando Fioretto, Matt J. Kusner, Jessica Schrouff

Proceedings of the Algorithmic Fairness through the Lens of Causality and Privacy Workshop, 2022

2021

Algorithmic Fairness through the Lens of Causality and Robustness (AFCR) 2021.

Jessica Schrouff, Awa Dieng, Miriam Rateike, Kweku Kwegyir-Aggrey, Golnoosh Farnadi

Proceedings of the Algorithmic Fairness through the Lens of Causality and Robustness Workshop, 2021

Individual Fairness in Kidney Exchange Programs.

Golnoosh Farnadi, William St-Arnaud, Behrouz Babaki, Margarida Carvalho

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

User Profiling Using Hinge-loss Markov Random Fields.

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

CoRR, 2020

A Unifying Framework for Fairness-Aware Influence Maximization.

Golnoosh Farnadi, Behrouz Babaki, Michel Gendreau

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Counterexample-Guided Learning of Monotonic Neural Networks.

Aishwarya Sivaraman, Golnoosh Farnadi, Todd D. Millstein, Guy Van den Broeck

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic.

Sriram Srinivasan, Golnoosh Farnadi, Lise Getoor

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns.

YooJung Choi, Golnoosh Farnadi, Behrouz Babaki, Guy Van den Broeck

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Declarative Approach to Fairness in Relational Domains.

Golnoosh Farnadi, Behrouz Babaki, Lise Getoor

IEEE Data Eng. Bull., 2019

Compiling Stochastic Constraint Programs to And-Or Decision Diagrams.

Behrouz Babaki, Golnoosh Farnadi, Gilles Pesant

CoRR, 2019

Lifted Hinge-Loss Markov Random Fields.

Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, Lise Getoor

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

A Fairness-aware Hybrid Recommender System.

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

CoRR, 2018

VirtualIdentity: Privacy-Preserving User Profiling.

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

CoRR, 2018

Scalable Structure Learning for Probabilistic Soft Logic.

Varun Embar, Dhanya Sridhar, Golnoosh Farnadi, Lise Getoor

CoRR, 2018

User Profiling through Deep Multimodal Fusion.

Golnoosh Farnadi, Jie Tang, Martine De Cock, Marie-Francine Moens

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

The Impact of Environmental Stressors on Human Trafficking.

Sabina Tomkins, Golnoosh Farnadi, Brian Amanatullah, Lise Getoor, Steven Minton

Proceedings of the IEEE International Conference on Data Mining, 2018

Fairness in Relational Domains.

Golnoosh Farnadi, Behrouz Babaki, Lise Getoor

Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

Fairness-Aware Relational Learning and Inference.

Golnoosh Farnadi, Behrouz Babaki, Lise Getoor

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

User Modeling in Social Media ; Gebruikersmodellen in sociale media.

Golnoosh Farnadi

PhD thesis, 2017

Soft quantification in statistical relational learning.

Golnoosh Farnadi, Stephen H. Bach, Marie-Francine Moens, Lise Getoor, Martine De Cock

Mach. Learn., 2017

2016

Computational personality recognition in social media.

Golnoosh Farnadi, Geetha Sitaraman, Shanu Sushmita, Fabio Celli, Michal Kosinski, David Stillwell, Sergio Davalos, Marie-Francine Moens, Martine De Cock

User Model. User Adapt. Interact., 2016

Cross-Genre Age and Gender Identification in Social Media.

Anam Zahid, Aadarsh Sampath, Anindya Dey, Golnoosh Farnadi

Proceedings of the Working Notes of CLEF 2016, 2016

VirtualIdentity: Privacy preserving user profiling.

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

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015

Statistical Relational Learning with Soft Quantifiers.

Golnoosh Farnadi, Stephen H. Bach, Marjon Blondeel, Marie-Francine Moens, Lise Getoor, Martine De Cock

Proceedings of the Inductive Logic Programming - 25th International Conference, 2015

Statistical Relational Learning Towards Modelling Social Media Users.

Golnoosh Farnadi

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Age, Gender and Personality Recognition using Tweets in a Multilingual setting: Notebook for PAN at CLEF 2015.

Mounica Arroju, Aftab Hassan, Golnoosh Farnadi

Proceedings of the Working Notes of CLEF 2015, 2015

Scalable adaptive label propagation in Grappa.

Golnoosh Farnadi, Zeinab Mahdavifar, Ivan Keller, Jacob Nelson, Ankur Teredesai, Marie-Francine Moens, Martine De Cock

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

How are you doing? Emotions and Personality in Facebook.

Golnoosh Farnadi, Geetha Sitaraman, Mehrdad Rohani, Michal Kosinski, David Stillwell, Marie-Francine Moens, Sergio Davalos, Martine De Cock

Proceedings of the Posters, 2014

A Multivariate Regression Approach to Personality Impression Recognition of Vloggers.

Golnoosh Farnadi, Shanu Sushmita, Geetha Sitaraman, Nhat Ton, Martine De Cock, Sergio Davalos

Proceedings of the 2014 ACM Multi Media on Workshop on Computational Personality Recognition, 2014

Age and Gender Identification in Social Media.

James Marquardt, Golnoosh Farnadi, Gayathri Vasudevan, Marie-Francine Moens, Sergio Davalos, Ankur Teredesai, Martine De Cock

Proceedings of the Working Notes for CLEF 2014 Conference, 2014

Extending PSL with Fuzzy Quantifiers.

Golnoosh Farnadi, Stephen H. Bach, Marie-Francine Moens, Lise Getoor, Martine De Cock

Proceedings of the Statistical Relational Artificial Intelligence, 2014