Extending PSL with Fuzzy Quantifiers. - Golnoosh Farnadi; Stephen H. Bach; Marie-Francine Moens; Lise Getoor; Martine De Cock (StarAI@AAAI, 2014)

Age and Gender Identification in Social Media. - James Marquardt; Golnoosh Farnadi; Gayathri Vasudevan; Marie-Francine Moens; Sergio Davalos; Ankur Teredesai; Martine De Cock (CLEF (Working Notes), 2014)

A Multivariate Regression Approach to Personality Impression Recognition of Vloggers. - Golnoosh Farnadi; Shanu Sushmita; Geetha Sitaraman; Nhat Ton; Martine De Cock; Sergio Davalos (WCPR@MM, 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 (UMAP Workshops, 2014)

Scalable adaptive label propagation in Grappa. - Golnoosh Farnadi; Zeinab Mahdavifar; Ivan Keller; Jacob Nelson 001; Ankur Teredesai; Marie-Francine Moens; Martine De Cock (IEEE BigData, 2015)

Age, Gender and Personality Recognition using Tweets in a Multilingual setting: Notebook for PAN at CLEF 2015. - Mounica Arroju; Aftab Hassan; Golnoosh Farnadi (CLEF (Working Notes), 2015)

Statistical Relational Learning Towards Modelling Social Media Users. - Golnoosh Farnadi (IJCAI, 2015)

Statistical Relational Learning with Soft Quantifiers. - Golnoosh Farnadi; Stephen H. Bach; Marjon Blondeel; Marie-Francine Moens; Lise Getoor; Martine De Cock (ILP, 2015)

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 (ASONAM, 2016)

Cross-Genre Age and Gender Identification in Social Media. - Anam Zahid; Aadarsh Sampath; Anindya Dey; Golnoosh Farnadi (CLEF (Working Notes), 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)

Soft quantification in statistical relational learning. - Golnoosh Farnadi; Stephen H. Bach; Marie-Francine Moens; Lise Getoor; Martine De Cock (Mach. Learn., 2017)

User Modeling in Social Media ; Gebruikersmodellen in sociale media. - Golnoosh Farnadi (2017)

Fairness-Aware Relational Learning and Inference. - Golnoosh Farnadi; Behrouz Babaki; Lise Getoor (AAAI Workshops, 2018)

Fairness in Relational Domains. - Golnoosh Farnadi; Behrouz Babaki; Lise Getoor (AIES, 2018)

The Impact of Environmental Stressors on Human Trafficking. - Sabina Tomkins; Golnoosh Farnadi; Brian Amanatullah; Lise Getoor; Steven Minton (ICDM, 2018)

User Profiling through Deep Multimodal Fusion. - Golnoosh Farnadi; Jie Tang 001; Martine De Cock; Marie-Francine Moens (WSDM, 2018)

Scalable Structure Learning for Probabilistic Soft Logic. - Varun Embar; Dhanya Sridhar; Golnoosh Farnadi; 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)

A Fairness-aware Hybrid Recommender System. - Golnoosh Farnadi; Pigi Kouki; Spencer K. Thompson; Sriram Srinivasan 004; Lise Getoor (CoRR, 2018)

Lifted Hinge-Loss Markov Random Fields. - Sriram Srinivasan 004; Behrouz Babaki; Golnoosh Farnadi; Lise Getoor (AAAI, 2019)

Compiling Stochastic Constraint Programs to And-Or Decision Diagrams. - Behrouz Babaki; Golnoosh Farnadi; Gilles Pesant (CoRR, 2019)

A Declarative Approach to Fairness in Relational Domains. - Golnoosh Farnadi; Behrouz Babaki; Lise Getoor (IEEE Data Eng. Bull., 2019)

Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns. - YooJung Choi 001; Golnoosh Farnadi; Behrouz Babaki; Guy Van den Broeck (AAAI, 2020)

BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic. - Sriram Srinivasan 004; Golnoosh Farnadi; Lise Getoor (AAAI, 2020)

Counterexample-Guided Learning of Monotonic Neural Networks. - Aishwarya Sivaraman; Golnoosh Farnadi; Todd D. Millstein; Guy Van den Broeck (NeurIPS, 2020)

A Unifying Framework for Fairness-Aware Influence Maximization. - Golnoosh Farnadi; Behrouz Babaki; Michel Gendreau (WWW (Companion Volume), 2020)

User Profiling Using Hinge-loss Markov Random Fields. - Golnoosh Farnadi; Lise Getoor; Marie-Francine Moens; Martine De Cock (CoRR, 2020)

Individual Fairness in Kidney Exchange Programs. - Golnoosh Farnadi; William St-Arnaud; Behrouz Babaki; Margarida Carvalho (AAAI, 2021)

Algorithmic Fairness through the Lens of Causality and Robustness (AFCR) 2021. - Jessica Schrouff; Awa Dieng; Miriam Rateike; Kweku Kwegyir-Aggrey; Golnoosh Farnadi (AFCR, 2021)

Algorithmic Fairness through the Lens of Causality and Privacy (AFCP) 2022. - Awa Dieng; Miriam Rateike; Golnoosh Farnadi; Ferdinando Fioretto; Matt J. Kusner; Jessica Schrouff (AFCP, 2022)

PrivFair: a Library for Privacy-Preserving Fairness Auditing. - Sikha Pentyala; David Melanson; Martine De Cock; 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)

Analyzing the Effect of Sampling in GNNs on Individual Fairness. - Rebecca Salganik; Fernando Diaz 001; Golnoosh Farnadi (CoRR, 2022)

A taxonomy of weight learning methods for statistical relational learning. - Sriram Srinivasan 004; Charles Dickens; Eriq Augustine; Golnoosh Farnadi; Lise Getoor (Mach. Learn., 2022)

FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks. - Kiarash Mohammadi; Aishwarya Sivaraman; Golnoosh Farnadi (EAAMO, 2023)

Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements. - Maryam Molamohammadi; Afaf Taïk; Nicolas Le Roux; Golnoosh Farnadi (EAAMO, 2023)

Privacy-Preserving Fair Item Ranking. - Jia Ao Sun; Sikha Pentyala; Martine De Cock; Golnoosh Farnadi (ECIR (2), 2023)

Tidying Up the Conversational Recommender Systems' Biases. - Armin Moradi; Golnoosh Farnadi (KaRS@RecSys, 2023)

Social Media as a Vector for Escort Ads: A Study on OnlyFans advertisements on Twitter. - Maricarmen Arenas; Pratheeksha Nair; Reihaneh Rabbany; Golnoosh Farnadi (WebSci, 2023)

Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness. - Ahmad-Reza Ehyaei; Golnoosh Farnadi; Samira Samadi (CoRR, 2023)

Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces. - Ahmad-Reza Ehyaei; Kiarash Mohammadi; Amir-Hossein Karimi; Samira Samadi; Golnoosh Farnadi (AAAI, 2024)

Promoting Fair Vaccination Strategies through Influence Maximization: A Case Study on COVID-19 Spread. - Nicola Neophytou; Afaf Taïk; Golnoosh Farnadi (AAAI, 2024)

Learning to Build Solutions in Stochastic Matching Problems Using Flows (Student Abstract). - William St-Arnaud; Margarida Carvalho; Golnoosh Farnadi (AAAI, 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 (ACL (Findings), 2024)

Understanding Intrinsic Socioeconomic Biases in Large Language Models. - Mina Arzaghi; Florian Carichon; Golnoosh Farnadi (AIES (1), 2024)

Fairness Through Domain Awareness: Mitigating Popularity Bias for Music Discovery. - Rebecca Salganik; Fernando Diaz 001; Golnoosh Farnadi (ECIR (4), 2024)

Balancing Act: Constraining Disparate Impact in Sparse Models. - Meraj Hashemizadeh; Juan Ramirez; Rohan Sukumaran; Golnoosh Farnadi; Simon Lacoste-Julien; Jose Gallego-Posada (ICLR, 2024)

Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities. - Golnoosh Farnadi; Mohammad Havaei; Negar Rostamzadeh (ICML, 2024)

Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness. - Ahmad-Reza Ehyaei; Golnoosh Farnadi; Samira Samadi (NeurIPS, 2024)

Fairness Incentives in Response to Unfair Dynamic Pricing. - Jesse Thibodeau; Hadi Nekoei; Afaf Taïk; Janarthanan Rajendran; Golnoosh Farnadi (CoRR, 2024)

Advancing Cultural Inclusivity: Optimizing Embedding Spaces for Balanced Music Recommendations. - Armin Moradi; Nicola Neophytou; Golnoosh Farnadi (CoRR, 2024)

Mitigating Disparate Impact of Differential Privacy in Federated Learning through Robust Clustering. - Saber Malekmohammadi; Afaf Taïk; Golnoosh Farnadi (CoRR, 2024)

Towards More Realistic Extraction Attacks: An Adversarial Perspective. - Yash More; Prakhar Ganesh; Golnoosh Farnadi (CoRR, 2024)

Trust No Bot: Discovering Personal Disclosures in Human-LLM Conversations in the Wild. - Niloofar Mireshghallah; Maria Antoniak; Yash More; Yejin Choi 001; 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)

On the Implicit Relation Between Low-Rank Adaptation and Differential Privacy. - Saber Malekmohammadi; 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)

FairLoRA: Unpacking Bias Mitigation in Vision Models with Fairness-Driven Low-Rank Adaptation. - Rohan Sukumaran; Aarash Feizi; Adriana Romero-Soriano; Golnoosh Farnadi (CoRR, 2024)

Multilingual Hallucination Gaps in Large Language Models. - Cléa Chataigner; Afaf Taïk; Golnoosh Farnadi (CoRR, 2024)

Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset. - Khaoula Chehbouni; Jonathan Colaço Carr; Yash More; Jackie C. K. Cheung; Golnoosh Farnadi (CoRR, 2024)

Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML. - Prakhar Ganesh; Usman Gohar; Lu Cheng; Golnoosh Farnadi (CoRR, 2024)

Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy. - Khaoula Chehbouni; Martine De Cock; Gilles Caporossi; Afaf Taïk; Reihaneh Rabbany; Golnoosh Farnadi (AAAI, 2025)

Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport. - Ahmad-Reza Ehyaei; Golnoosh Farnadi; Samira Samadi (AAAI, 2025)

Hallucination Detox: Sensitivity Dropout (SenD) for Large Language Model Training. - Shahrad Mohammadzadeh; Juan David Guerra; Marco Bonizzato; Reihaneh Rabbany; Golnoosh Farnadi (ACL (1), 2025)

Embedding Cultural Diversity in Prototype-Based Recommender Systems. - Armin Moradi; Nicola Neophytou; Florian Carichon; Golnoosh Farnadi (ECIR (1), 2025)

Crossing Boundaries: Leveraging Semantic Divergences to Explore Cultural Novelty in Cooking Recipes. - Florian Carichon; Romain Rampa; Golnoosh Farnadi (FAccT, 2025)

What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models. - Ahmed Imtiaz Humayun; Ibtihel Amara; Cristina Nader Vasconcelos; Deepak Ramachandran; Candice Schumann; Junfeng He; Katherine A. Heller; Golnoosh Farnadi; Negar Rostamzadeh; Mohammad Havaei (ICLR, 2025)

Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset. - Khaoula Chehbouni; Jonathan Colaço Carr; Yash More; Jackie CK Cheung; Golnoosh Farnadi (NAACL (Long Papers), 2025)

Adaptation, comparison and practical implementation of fairness schemes in Kidney Exchange Programs. - William St-Arnaud; Margarida Carvalho; Golnoosh Farnadi (Eur. J. Oper. Res., 2025)

Bridging Causality, Individual Fairness, and Adversarial Robustness in the Absence of Structural Causal Model. - Ahmad-Reza Ehyaei; Golnoosh Farnadi; Samira Samadi (Trans. Mach. Learn. Res., 2025)

A Learning-Based Framework for Fair and Scalable Solution Generation in Kidney Exchange Problems. - William St-Arnaud; Margarida Carvalho; Golnoosh Farnadi (Trans. Mach. Learn. Res., 2025)

EraseBench: Understanding The Ripple Effects of Concept Erasure Techniques. - Ibtihel Amara; Ahmed Imtiaz Humayun; Ivana Kajic; Zarana Parekh; Natalie Harris; Sarah Young; Chirag Nagpal; Najoung Kim; Junfeng He; Cristina Nader Vasconcelos; Deepak Ramachandran; Golnoosh Farnadi; et al. (CoRR, 2025)

The Curious Case of Arbitrariness in Machine Learning. - Prakhar Ganesh; Afaf Taïk; Golnoosh Farnadi (CoRR, 2025)

Say It Another Way: Auditing LLMs with a User-Grounded Automated Paraphrasing Framework. - Cléa Chataigner; Rebecca Ma; Prakhar Ganesh; Afaf Taïk; Elliot Creager; Golnoosh Farnadi (CoRR, 2025)

Fairness in Federated Learning: Fairness for Whom? - Afaf Taïk; Khaoula Chehbouni; Golnoosh Farnadi (CoRR, 2025)

Balancing Profit and Fairness in Risk-Based Pricing Markets. - Jesse Thibodeau; Hadi Nekoei; Afaf Taïk; Janarthanan Rajendran; Golnoosh Farnadi (CoRR, 2025)

The Coming Crisis of Multi-Agent Misalignment: AI Alignment Must Be a Dynamic and Social Process. - Florian Carichon; Aditi Khandelwal; Marylou Fauchard; Golnoosh Farnadi (CoRR, 2025)

Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing. - Aly M. Kassem; Zhuan Shi; Negar Rostamzadeh; Golnoosh Farnadi (CoRR, 2025)