Golnoosh Farnadi

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 57

Top Venues

Katholieke Universiteit Leuven, Belgium (PHD)

Education History

Katholieke Universiteit Leuven, Belgium

PHD

Publications

Khaoula Chehbouni, Megha Roshan, Emmanuel Ma, Futian Andrew Wei, Afaf Taïk, Jackie Chi Kit Cheung, Golnoosh Farnadi
From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards. ACL (Findings) (2024)
William St-Arnaud, Margarida Carvalho, Golnoosh Farnadi
Learning to Build Solutions in Stochastic Matching Problems Using Flows (Student Abstract). AAAI (2024)
Rebecca Salganik, Fernando Diaz, Golnoosh Farnadi
Fairness Through Domain Awareness: Mitigating Popularity Bias for Music Discovery. ECIR (4) (2024)
Yash More, Prakhar Ganesh, Golnoosh Farnadi
Towards More Realistic Extraction Attacks: An Adversarial Perspective. CoRR (2024)
Mina Arzaghi, Florian Carichon, Golnoosh Farnadi
Understanding Intrinsic Socioeconomic Biases in Large Language Models. CoRR (2024)
Meraj Hashemizadeh, Juan Ramirez, Rohan Sukumaran, Golnoosh Farnadi, Simon Lacoste-Julien, Jose Gallego-Posada
Balancing Act: Constraining Disparate Impact in Sparse Models. ICLR (2024)
Nicola Neophytou, Afaf Taïk, Golnoosh Farnadi
Promoting Fair Vaccination Strategies through Influence Maximization: A Case Study on COVID-19 Spread. AAAI (2024)
Jesse Thibodeau, Hadi Nekoei, Afaf Taïk, Janarthanan Rajendran, Golnoosh Farnadi
Fairness Incentives in Response to Unfair Dynamic Pricing. CoRR (2024)
Khaoula Chehbouni, Megha Roshan, Emmanuel Ma, Futian Andrew Wei, Afaf Taïk, Jackie C. K. Cheung, Golnoosh Farnadi
From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards. CoRR (2024)
Golnoosh Farnadi, Mohammad Havaei, Negar Rostamzadeh
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities. CoRR (2024)
Saber Malekmohammadi, Afaf Taïk, Golnoosh Farnadi
Mitigating Disparate Impact of Differential Privacy in Federated Learning through Robust Clustering. CoRR (2024)
Prakhar Ganesh, Ihsan Ibrahim Daldaban, Ignacio Cofone, Golnoosh Farnadi
The Cost of Arbitrariness for Individuals: Examining the Legal and Technical Challenges of Model Multiplicity. CoRR (2024)
Niloofar Mireshghallah, Maria Antoniak, Yash More, Yejin Choi, Golnoosh Farnadi
Trust No Bot: Discovering Personal Disclosures in Human-LLM Conversations in the Wild. CoRR (2024)
Nicola Neophytou, Afaf Taïk, Golnoosh Farnadi
Promoting Fair Vaccination Strategies Through Influence Maximization: A Case Study on COVID-19 Spread. CoRR (2024)
Ahmad-Reza Ehyaei, Kiarash Mohammadi, Amir-Hossein Karimi, Samira Samadi, Golnoosh Farnadi
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces. AAAI (2024)
Armin Moradi, Nicola Neophytou, Golnoosh Farnadi
Advancing Cultural Inclusivity: Optimizing Embedding Spaces for Balanced Music Recommendations. CoRR (2024)
Maryam Molamohammadi, Afaf Taïk, Nicolas Le Roux, Golnoosh Farnadi
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements. EAAMO (2023)
Jia Ao Sun, Sikha Pentyala, Martine De Cock, Golnoosh Farnadi
Privacy-Preserving Fair Item Ranking. CoRR (2023)
Armin Moradi, Golnoosh Farnadi
Tidying Up the Conversational Recommender Systems' Biases. CoRR (2023)
Meraj Hashemizadeh, Juan Ramirez, Rohan Sukumaran, Golnoosh Farnadi, Simon Lacoste-Julien, Jose Gallego-Posada
Balancing Act: Constraining Disparate Impact in Sparse Models. CoRR (2023)
Ahmad-Reza Ehyaei, Kiarash Mohammadi, Amir-Hossein Karimi, Samira Samadi, Golnoosh Farnadi
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces. CoRR (2023)
Kiarash Mohammadi, Aishwarya Sivaraman, Golnoosh Farnadi
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks. EAAMO (2023)
Jia Ao Sun, Sikha Pentyala, Martine De Cock, Golnoosh Farnadi
Privacy-Preserving Fair Item Ranking. ECIR (2) (2023)
Armin Moradi, Golnoosh Farnadi
Tidying Up the Conversational Recommender Systems' Biases. KaRS@RecSys (2023)
Ahmad-Reza Ehyaei, Golnoosh Farnadi, Samira Samadi
Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness. CoRR (2023)
Maryam Molamohammadi, Afaf Taïk, Nicolas Le Roux, Golnoosh Farnadi
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements. CoRR (2023)
Maricarmen Arenas, Pratheeksha Nair, Reihaneh Rabbany, Golnoosh Farnadi
Social Media as a Vector for Escort Ads: A Study on OnlyFans advertisements on Twitter. WebSci (2023)
Rebecca Salganik, Fernando Diaz, Golnoosh Farnadi
Fairness Through Domain Awareness: Mitigating Popularity Bias For Music Discovery. CoRR (2023)
Rebecca Salganik, Fernando Diaz, Golnoosh Farnadi
Analyzing the Effect of Sampling in GNNs on Individual Fairness. CoRR (2022)
Sikha Pentyala, Nicola Neophytou, Anderson C. A. Nascimento, Martine De Cock, Golnoosh Farnadi
PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning. CoRR (2022)
Awa Dieng, Miriam Rateike, Golnoosh Farnadi, Ferdinando Fioretto, Matt J. Kusner, Jessica Schrouff
Algorithmic Fairness through the Lens of Causality and Privacy (AFCP) 2022. AFCP (2022)
Sriram Srinivasan, Charles Dickens, Eriq Augustine, Golnoosh Farnadi, Lise Getoor
A taxonomy of weight learning methods for statistical relational learning. Mach. Learn. 111 (8) (2022)
Kiarash Mohammadi, Aishwarya Sivaraman, Golnoosh Farnadi
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks. CoRR (2022)
Sikha Pentyala, David Melanson, Martine De Cock, Golnoosh Farnadi
PrivFair: a Library for Privacy-Preserving Fairness Auditing. CoRR (2022)
Golnoosh Farnadi, William St-Arnaud, Behrouz Babaki, Margarida Carvalho
Individual Fairness in Kidney Exchange Programs. AAAI (2021)
Jessica Schrouff, Awa Dieng, Miriam Rateike, Kweku Kwegyir-Aggrey, Golnoosh Farnadi
Algorithmic Fairness through the Lens of Causality and Robustness (AFCR) 2021. AFCR (2021)
Sriram Srinivasan, Golnoosh Farnadi, Lise Getoor
BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic. AAAI (2020)
Golnoosh Farnadi, Lise Getoor, Marie-Francine Moens, Martine De Cock
User Profiling Using Hinge-loss Markov Random Fields. CoRR (2020)
Aishwarya Sivaraman, Golnoosh Farnadi, Todd D. Millstein, Guy Van den Broeck
Counterexample-Guided Learning of Monotonic Neural Networks. NeurIPS (2020)
Aishwarya Sivaraman, Golnoosh Farnadi, Todd D. Millstein, Guy Van den Broeck
Counterexample-Guided Learning of Monotonic Neural Networks. CoRR (2020)
YooJung Choi, Golnoosh Farnadi, Behrouz Babaki, Guy Van den Broeck
Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns. AAAI (2020)
Golnoosh Farnadi, Behrouz Babaki, Michel Gendreau
A Unifying Framework for Fairness-Aware Influence Maximization. WWW (Companion Volume) (2020)
YooJung Choi, Golnoosh Farnadi, Behrouz Babaki, Guy Van den Broeck
Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns. CoRR (2019)
Behrouz Babaki, Golnoosh Farnadi, Gilles Pesant
Compiling Stochastic Constraint Programs to And-Or Decision Diagrams. CoRR (2019)
Golnoosh Farnadi, Behrouz Babaki, Lise Getoor
A Declarative Approach to Fairness in Relational Domains. IEEE Data Eng. Bull. 42 (3) (2019)
Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, Lise Getoor
Lifted Hinge-Loss Markov Random Fields. AAAI (2019)
Sabina Tomkins, Golnoosh Farnadi, Brian Amanatullah, Lise Getoor, Steven Minton
The Impact of Environmental Stressors on Human Trafficking. ICDM (2018)
Sisi Wang, Wing-Sea Poon, Golnoosh Farnadi, Caleb Horst, Kebra Thompson, Michael Nickels, Rafael Dowsley, Anderson C. A. Nascimento, Martine De Cock
VirtualIdentity: Privacy-Preserving User Profiling. CoRR (2018)
Golnoosh Farnadi, Behrouz Babaki, Lise Getoor
Fairness-Aware Relational Learning and Inference. AAAI Workshops (2018)
Varun Embar, Dhanya Sridhar, Golnoosh Farnadi, Lise Getoor
Scalable Structure Learning for Probabilistic Soft Logic. CoRR (2018)
Golnoosh Farnadi, Pigi Kouki, Spencer K. Thompson, Sriram Srinivasan, Lise Getoor
A Fairness-aware Hybrid Recommender System. CoRR (2018)
Golnoosh Farnadi, Behrouz Babaki, Lise Getoor
Fairness in Relational Domains. AIES (2018)
Golnoosh Farnadi, Jie Tang, Martine De Cock, Marie-Francine Moens
User Profiling through Deep Multimodal Fusion. WSDM (2018)
Golnoosh Farnadi, Stephen H. Bach, Marie-Francine Moens, Lise Getoor, Martine De Cock
Soft quantification in statistical relational learning. Mach. Learn. 106 (12) (2017)
Golnoosh Farnadi, Geetha Sitaraman, Shanu Sushmita, Fabio Celli, Michal Kosinski, David Stillwell, Sergio Davalos, Marie-Francine Moens, Martine De Cock
Computational personality recognition in social media. User Model. User Adapt. Interact. 26 (2-3) (2016)
Anam Zahid, Aadarsh Sampath, Anindya Dey, Golnoosh Farnadi
Cross-Genre Age and Gender Identification in Social Media. CLEF (Working Notes) (2016)
Sisi Wang, Wing-Sea Poon, Golnoosh Farnadi, Caleb Horst, Kebra Thompson, Michael Nickels, Anderson C. A. Nascimento, Martine De Cock
VirtualIdentity: Privacy preserving user profiling. ASONAM (2016)
Golnoosh Farnadi
Statistical Relational Learning Towards Modelling Social Media Users. IJCAI (2015)
Golnoosh Farnadi, Stephen H. Bach, Marjon Blondeel, Marie-Francine Moens, Lise Getoor, Martine De Cock
Statistical Relational Learning with Soft Quantifiers. ILP (2015)
Golnoosh Farnadi, Zeinab Mahdavifar, Ivan Keller, Jacob Nelson, Ankur Teredesai, Marie-Francine Moens, Martine De Cock
Scalable adaptive label propagation in Grappa. IEEE BigData (2015)
Mounica Arroju, Aftab Hassan, Golnoosh Farnadi
Age, Gender and Personality Recognition using Tweets in a Multilingual setting: Notebook for PAN at CLEF 2015. CLEF (Working Notes) (2015)
Golnoosh Farnadi, Stephen H. Bach, Marie-Francine Moens, Lise Getoor, Martine De Cock
Extending PSL with Fuzzy Quantifiers. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
James Marquardt, Golnoosh Farnadi, Gayathri Vasudevan, Marie-Francine Moens, Sergio Davalos, Ankur Teredesai, Martine De Cock
Age and Gender Identification in Social Media. CLEF (Working Notes) (2014)
Golnoosh Farnadi, Shanu Sushmita, Geetha Sitaraman, Nhat Ton, Martine De Cock, Sergio Davalos
A Multivariate Regression Approach to Personality Impression Recognition of Vloggers. WCPR@MM (2014)
Golnoosh Farnadi, Geetha Sitaraman, Mehrdad Rohani, Michal Kosinski, David Stillwell, Marie-Francine Moens, Sergio Davalos, Martine De Cock
How are you doing? Emotions and Personality in Facebook. UMAP Workshops (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Golnoosh Farnadi