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ORCIDGolnoosh Farnadi
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2020 – today
- 2024
[c34]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: 11847-11855- [c33]Nicola Neophytou, Afaf Taïk, Golnoosh Farnadi:
Promoting Fair Vaccination Strategies through Influence Maximization: A Case Study on COVID-19 Spread. AAAI 2024: 22285-22293 - [c32]William St-Arnaud, Margarida Carvalho, Golnoosh Farnadi:
Learning to Build Solutions in Stochastic Matching Problems Using Flows (Student Abstract). AAAI 2024: 23659-23660 - [c31]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: 15694-15710 - [c30]Rebecca Salganik, Fernando Diaz, Golnoosh Farnadi:
Fairness Through Domain Awareness: Mitigating Popularity Bias for Music Discovery. ECIR (4) 2024: 351-368 - [c29]Meraj Hashemizadeh, Juan Ramirez, Rohan Sukumaran, Golnoosh Farnadi, Simon Lacoste-Julien, Jose Gallego-Posada:
Balancing Act: Constraining Disparate Impact in Sparse Models. ICLR 2024 - [c28]Golnoosh Farnadi, Mohammad Havaei, Negar Rostamzadeh:
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities. ICML 2024 - [i32]Nicola Neophytou, Afaf Taïk, Golnoosh Farnadi:
Promoting Fair Vaccination Strategies Through Influence Maximization: A Case Study on COVID-19 Spread. CoRR abs/2403.05564 (2024) - [i31]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 abs/2403.13213 (2024) - [i30]Jesse Thibodeau, Hadi Nekoei, Afaf Taïk, Janarthanan Rajendran, Golnoosh Farnadi:
Fairness Incentives in Response to Unfair Dynamic Pricing. CoRR abs/2404.14620 (2024) - [i29]Armin Moradi, Nicola Neophytou, Golnoosh Farnadi:
Advancing Cultural Inclusivity: Optimizing Embedding Spaces for Balanced Music Recommendations. CoRR abs/2405.17607 (2024) - [i28]Mina Arzaghi, Florian Carichon, Golnoosh Farnadi:
Understanding Intrinsic Socioeconomic Biases in Large Language Models. CoRR abs/2405.18662 (2024) - [i27]Saber Malekmohammadi, Afaf Taïk, Golnoosh Farnadi:
Mitigating Disparate Impact of Differential Privacy in Federated Learning through Robust Clustering. CoRR abs/2405.19272 (2024) - [i26]Golnoosh Farnadi, Mohammad Havaei, Negar Rostamzadeh:
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities. CoRR abs/2406.01757 (2024) - [i25]Yash More, Prakhar Ganesh, Golnoosh Farnadi:
Towards More Realistic Extraction Attacks: An Adversarial Perspective. CoRR abs/2407.02596 (2024) - [i24]Niloofar Mireshghallah, Maria Antoniak, Yash More, Yejin Choi, Golnoosh Farnadi:
Trust No Bot: Discovering Personal Disclosures in Human-LLM Conversations in the Wild. CoRR abs/2407.11438 (2024) - [i23]Ahmed Imtiaz Humayun, Ibtihel Amara, Candice Schumann, Golnoosh Farnadi, Negar Rostamzadeh, Mohammad Havaei:
Understanding the Local Geometry of Generative Model Manifolds. CoRR abs/2408.08307 (2024) - [i22]Saber Malekmohammadi, Golnoosh Farnadi:
On the Implicit Relation Between Low-Rank Adaptation and Differential Privacy. CoRR abs/2409.17538 (2024) - [i21]Shahrad Mohammadzadeh, Juan David Guerra, Marco Bonizzato, Reihaneh Rabbany, Golnoosh Farnadi:
Hallucination Detox: Sensitive Neuron Dropout (SeND) for Large Language Model Training. CoRR abs/2410.15460 (2024) - [i20]Rohan Sukumaran, Aarash Feizi, Adriana Romero-Soriano, Golnoosh Farnadi:
FairLoRA: Unpacking Bias Mitigation in Vision Models with Fairness-Driven Low-Rank Adaptation. CoRR abs/2410.17358 (2024) - [i19]Cléa Chataigner, Afaf Taïk, Golnoosh Farnadi:
Multilingual Hallucination Gaps in Large Language Models. CoRR abs/2410.18270 (2024) - 2023
- [c27]Kiarash Mohammadi, Aishwarya Sivaraman, Golnoosh Farnadi:
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks. EAAMO 2023: 23:1-23:11 - [c26]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: 33:1-33:12 - [c25]Jia Ao Sun, Sikha Pentyala, Martine De Cock, Golnoosh Farnadi:
Privacy-Preserving Fair Item Ranking. ECIR (2) 2023: 188-203 - [c24]Armin Moradi, Golnoosh Farnadi:
Tidying Up the Conversational Recommender Systems' Biases. KaRS@RecSys 2023: 21-34 - [c23]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: 260-270 - [i18]Jia Ao Sun, Sikha Pentyala, Martine De Cock, Golnoosh Farnadi:
Privacy-Preserving Fair Item Ranking. CoRR abs/2303.02916 (2023) - [i17]Maryam Molamohammadi, Afaf Taïk, Nicolas Le Roux, Golnoosh Farnadi:
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements. CoRR abs/2306.10043 (2023) - [i16]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 abs/2308.08938 (2023) - [i15]Rebecca Salganik, Fernando Diaz, Golnoosh Farnadi:
Fairness Through Domain Awareness: Mitigating Popularity Bias For Music Discovery. CoRR abs/2308.14601 (2023) - [i14]Armin Moradi, Golnoosh Farnadi:
Tidying Up the Conversational Recommender Systems' Biases. CoRR abs/2309.02550 (2023) - [i13]Ahmad-Reza Ehyaei, Golnoosh Farnadi, Samira Samadi:
Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness. CoRR abs/2310.19391 (2023) - [i12]Meraj Hashemizadeh, Juan Ramirez, Rohan Sukumaran, Golnoosh Farnadi, Simon Lacoste-Julien, Jose Gallego-Posada:
Balancing Act: Constraining Disparate Impact in Sparse Models. CoRR abs/2310.20673 (2023) - 2022
- [j4]Sriram Srinivasan, Charles Dickens, Eriq Augustine, Golnoosh Farnadi, Lise Getoor:
A taxonomy of weight learning methods for statistical relational learning. Mach. Learn. 111(8): 2799-2838 (2022) - [c22]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: 1-6 - [e2]Awa Dieng, Miriam Rateike, Golnoosh Farnadi, Ferdinando Fioretto, Matt J. Kusner, Jessica Schrouff:
Algorithmic Fairness through the Lens of Causality and Privacy Workshop, AFCP 2022, New Orleans, LA, USA (hybrid), 03 December 2022. Proceedings of Machine Learning Research 214, PMLR 2022 [contents] - [i11]Sikha Pentyala, David Melanson, Martine De Cock, Golnoosh Farnadi:
PrivFair: a Library for Privacy-Preserving Fairness Auditing. CoRR abs/2202.04058 (2022) - [i10]Sikha Pentyala, Nicola Neophytou, Anderson C. A. Nascimento, Martine De Cock, Golnoosh Farnadi:
PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning. CoRR abs/2205.11584 (2022) - [i9]Kiarash Mohammadi, Aishwarya Sivaraman, Golnoosh Farnadi:
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks. CoRR abs/2206.00553 (2022) - [i8]Rebecca Salganik, Fernando Diaz, Golnoosh Farnadi:
Analyzing the Effect of Sampling in GNNs on Individual Fairness. CoRR abs/2209.03904 (2022) - 2021
- [c21]Golnoosh Farnadi, William St-Arnaud, Behrouz Babaki, Margarida Carvalho:
Individual Fairness in Kidney Exchange Programs. AAAI 2021: 11496-11505 - [c20]Jessica Schrouff, Awa Dieng, Miriam Rateike, Kweku Kwegyir-Aggrey, Golnoosh Farnadi:
Algorithmic Fairness through the Lens of Causality and Robustness (AFCR) 2021. AFCR 2021: 1-5 - [e1]Jessica Schrouff, Awa Dieng, Miriam Rateike, Kweku Kwegyir-Aggrey, Golnoosh Farnadi:
Algorithmic Fairness through the Lens of Causality and Robustness Workshop, AFCR 2021, virtual, December 13, 2021. Proceedings of Machine Learning Research 171, PMLR 2021 [contents] - 2020
- [c19]YooJung Choi, Golnoosh Farnadi, Behrouz Babaki, Guy Van den Broeck:
Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns. AAAI 2020: 10077-10084 - [c18]Sriram Srinivasan, Golnoosh Farnadi, Lise Getoor:
BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic. AAAI 2020: 10267-10275 - [c17]Aishwarya Sivaraman, Golnoosh Farnadi, Todd D. Millstein, Guy Van den Broeck:
Counterexample-Guided Learning of Monotonic Neural Networks. NeurIPS 2020 - [c16]Golnoosh Farnadi, Behrouz Babaki, Michel Gendreau:
A Unifying Framework for Fairness-Aware Influence Maximization. WWW (Companion Volume) 2020: 714-722 - [i7]Golnoosh Farnadi, Lise Getoor, Marie-Francine Moens, Martine De Cock:
User Profiling Using Hinge-loss Markov Random Fields. CoRR abs/2001.01177 (2020) - [i6]Aishwarya Sivaraman, Golnoosh Farnadi, Todd D. Millstein, Guy Van den Broeck:
Counterexample-Guided Learning of Monotonic Neural Networks. CoRR abs/2006.08852 (2020)
2010 – 2019
- 2019
- [j3]Golnoosh Farnadi, Behrouz Babaki, Lise Getoor:
A Declarative Approach to Fairness in Relational Domains. IEEE Data Eng. Bull. 42(3): 36-48 (2019) - [c15]Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, Lise Getoor:
Lifted Hinge-Loss Markov Random Fields. AAAI 2019: 7975-7983 - [i5]YooJung Choi, Golnoosh Farnadi, Behrouz Babaki, Guy Van den Broeck:
Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns. CoRR abs/1906.03843 (2019) - [i4]Behrouz Babaki, Golnoosh Farnadi, Gilles Pesant:
Compiling Stochastic Constraint Programs to And-Or Decision Diagrams. CoRR abs/1909.10622 (2019) - 2018
- [c14]Golnoosh Farnadi, Behrouz Babaki, Lise Getoor:
Fairness-Aware Relational Learning and Inference. AAAI Workshops 2018: 333-335 - [c13]Golnoosh Farnadi, Behrouz Babaki, Lise Getoor:
Fairness in Relational Domains. AIES 2018: 108-114 - [c12]Sabina Tomkins, Golnoosh Farnadi, Brian Amanatullah, Lise Getoor, Steven Minton:
The Impact of Environmental Stressors on Human Trafficking. ICDM 2018: 507-516 - [c11]Golnoosh Farnadi, Jie Tang, Martine De Cock, Marie-Francine Moens:
User Profiling through Deep Multimodal Fusion. WSDM 2018: 171-179 - [i3]Varun Embar, Dhanya Sridhar, Golnoosh Farnadi, Lise Getoor:
Scalable Structure Learning for Probabilistic Soft Logic. CoRR abs/1807.00973 (2018) - [i2]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 abs/1808.10151 (2018) - [i1]Golnoosh Farnadi, Pigi Kouki, Spencer K. Thompson, Sriram Srinivasan, Lise Getoor:
A Fairness-aware Hybrid Recommender System. CoRR abs/1809.09030 (2018) - 2017
- [b1]Golnoosh Farnadi:
User Modeling in Social Media ; Gebruikersmodellen in sociale media. Katholieke Universiteit Leuven, Belgium, 2017 - [j2]Golnoosh Farnadi, Stephen H. Bach, Marie-Francine Moens, Lise Getoor, Martine De Cock:
Soft quantification in statistical relational learning. Mach. Learn. 106(12): 1971-1991 (2017) - 2016
- [j1]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): 109-142 (2016) - [c10]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: 1434-1437 - [c9]Anam Zahid, Aadarsh Sampath, Anindya Dey, Golnoosh Farnadi:
Cross-Genre Age and Gender Identification in Social Media. CLEF (Working Notes) 2016: 1014-1017 - 2015
- [c8]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: 1485-1491 - [c7]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 - [c6]Golnoosh Farnadi:
Statistical Relational Learning Towards Modelling Social Media Users. IJCAI 2015: 4365-4366 - [c5]Golnoosh Farnadi, Stephen H. Bach, Marjon Blondeel, Marie-Francine Moens, Lise Getoor, Martine De Cock:
Statistical Relational Learning with Soft Quantifiers. ILP 2015: 60-75 - 2014
- [c4]Golnoosh Farnadi, Stephen H. Bach, Marie-Francine Moens, Lise Getoor, Martine De Cock:
Extending PSL with Fuzzy Quantifiers. StarAI@AAAI 2014 - [c3]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: 1129-1136 - [c2]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: 1-6 - [c1]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
Coauthor Index
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last updated on 2024-12-10 21:40 CET by the dblp team
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