Golnoosh Farnadi

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

Embedding Cultural Diversity in Prototype-Based Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2025

Hallucination Detox: Sensitivity Dropout (SenD) for Large Language Model Training.

[BibT_eX]

[DOI]

Shahrad Mohammadzadeh

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport.

[BibT_eX]

[DOI]

Ahmad-Reza Ehyaei

Samira Samadi

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML.

[BibT_eX]

[DOI]

CoRR, 2024

Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset.

[BibT_eX]

[DOI]

CoRR, 2024

Multilingual Hallucination Gaps in Large Language Models.

[BibT_eX]

[DOI]

Cléa Chataigner

CoRR, 2024

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

[BibT_eX]

[DOI]

Rohan Sukumaran

Aarash Feizi

Adriana Romero-Soriano

CoRR, 2024

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

[BibT_eX]

[DOI]

Shahrad Mohammadzadeh

CoRR, 2024

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

[BibT_eX]

[DOI]

Saber Malekmohammadi

CoRR, 2024

Understanding the Local Geometry of Generative Model Manifolds.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Niloofar Mireshghallah

CoRR, 2024

Towards More Realistic Extraction Attacks: An Adversarial Perspective.

[BibT_eX]

[DOI]

Yash More

Prakhar Ganesh

CoRR, 2024

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

[BibT_eX]

[DOI]

Saber Malekmohammadi

CoRR, 2024

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

[BibT_eX]

[DOI]

Armin Moradi

Nicola Neophytou

CoRR, 2024

Fairness Incentives in Response to Unfair Dynamic Pricing.

[BibT_eX]

[DOI]

Jesse Thibodeau

Hadi Nekoei

Janarthanan Rajendran

CoRR, 2024

Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness.

[BibT_eX]

[DOI]

Ahmad-Reza Ehyaei

Samira Samadi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

[BibT_eX]

[DOI]

Mohammad Havaei

Negar Rostamzadeh

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

Balancing Act: Constraining Disparate Impact in Sparse Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

[BibT_eX]

[DOI]

Rebecca Salganik

Fernando Diaz

Proceedings of the Advances in Information Retrieval, 2024

Understanding Intrinsic Socioeconomic Biases in Large Language Models.

[BibT_eX]

[DOI]

Mina Arzaghi

Florian Carichon

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

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

[BibT_eX]

[DOI]

Jackie Chi Kit Cheung

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

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

[BibT_eX]

[DOI]

William St-Arnaud

Margarida Carvalho

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.

[BibT_eX]

[DOI]

Nicola Neophytou

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

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

[BibT_eX]

[DOI]

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

2023

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

[BibT_eX]

[DOI]

Ahmad-Reza Ehyaei

Samira Samadi

CoRR, 2023

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

[BibT_eX]

[DOI]

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

Tidying Up the Conversational Recommender Systems' Biases.

[BibT_eX]

[DOI]

Armin Moradi

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.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2023

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Kiarash Mohammadi

Aishwarya Sivaraman

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

2022

A taxonomy of weight learning methods for statistical relational learning.

[BibT_eX]

[DOI]

Mach. Learn., 2022

Analyzing the Effect of Sampling in GNNs on Individual Fairness.

[BibT_eX]

[DOI]

Rebecca Salganik

Fernando Diaz

Anderson C. A. Nascimento

CoRR, 2022

PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning.

[BibT_eX]

[DOI]

Sikha Pentyala

Nicola Neophytou

Martine De Cock

CoRR, 2022

PrivFair: a Library for Privacy-Preserving Fairness Auditing.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Individual Fairness in Kidney Exchange Programs.

[BibT_eX]

[DOI]

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

2020

User Profiling Using Hinge-loss Markov Random Fields.

[BibT_eX]

[DOI]

CoRR, 2020

A Unifying Framework for Fairness-Aware Influence Maximization.

[BibT_eX]

[DOI]

Michel Gendreau

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

Counterexample-Guided Learning of Monotonic Neural Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Sriram Srinivasan

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

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

[BibT_eX]

[DOI]

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

2019

A Declarative Approach to Fairness in Relational Domains.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2019

Compiling Stochastic Constraint Programs to And-Or Decision Diagrams.

[BibT_eX]

[DOI]

Anderson C. A. Nascimento

Gilles Pesant

CoRR, 2019

Lifted Hinge-Loss Markov Random Fields.

[BibT_eX]

[DOI]

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

2018

A Fairness-aware Hybrid Recommender System.

[BibT_eX]

[DOI]

CoRR, 2018

VirtualIdentity: Privacy-Preserving User Profiling.

[BibT_eX]

[DOI]

Martine De Cock

CoRR, 2018

Scalable Structure Learning for Probabilistic Soft Logic.

[BibT_eX]

[DOI]

CoRR, 2018

User Profiling through Deep Multimodal Fusion.

[BibT_eX]

[DOI]

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

The Impact of Environmental Stressors on Human Trafficking.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Fairness in Relational Domains.

[BibT_eX]

[DOI]

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

Fairness-Aware Relational Learning and Inference.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Anderson C. A. Nascimento

PhD thesis, 2017

Soft quantification in statistical relational learning.

[BibT_eX]

[DOI]

Mach. Learn., 2017

2016

Computational personality recognition in social media.

[BibT_eX]

[DOI]

User Model. User Adapt. Interact., 2016

Cross-Genre Age and Gender Identification in Social Media.

[BibT_eX]

[DOI]

Proceedings of the Working Notes of CLEF 2016, 2016

VirtualIdentity: Privacy preserving user profiling.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Statistical Relational Learning Towards Modelling Social Media Users.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Mounica Arroju

Aftab Hassan