Recently Published Works

2025

• ALMA: Aggregated Lipschitz Maximization Attack on Auto-encoders; Chethan Krishnamurthy Ramanaik, Arjun Roy, Eirini Ntoutsi; [preprint]

• Achieving Socio-Economic Parity through the Lens of EU AI Act; Arjun Roy, Stavroula Rizou, Symeon Papadopoulos, Eirini Ntoutsi;  ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2025. [preprint]

2024

• FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning; Arjun Roy, Christos Koutlis, Symeon Papadopoulos, Eirini Ntoutsi; International Joint Conference on Neural Networks (IJCNN), 2024. [paper]

• Adversarial Robustness of VAEs across Intersectional Subgroups; Chethan K. Ramanaik, Arjun Roy, Eirini Ntoutsi; Workshop on Bias and Fairness in AI at ECML PKDD, 2024. [preprint] 

• Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative Study; Emmanouil Panagiotou, Arjun Roy, Eirini Ntoutsi; Workshop on Bias and Fairness in AI at ECML PKDD, 2024. [preprint] 

• Exploring Fusion Techniques in Multimodal AI-Based Recruitment: Insights from FairCVdb; Swati Swati, Arjun Roy, Eirini Ntoutsi; European Workshop on Algorithmic Fairness, 2024. [preprint] 

Earlier...

• Multi-dimensional discrimination in Law and Machine Learning - A comparative overview;  Arjun Roy, Jan Horstmann, Eirini Ntoutsi; ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2023. [paper]

• Multi-fairness under class-imbalance; Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi; International Conference on Discovery Science (DS)2022. [paper] [video]

• Learning to Teach Fairness-aware Deep Multi-task Learning; Arjun Roy, Eirini Ntoutsi; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD), 2022. [paper] [code] [video]

• A survey on datasets for fairness-aware machine learning; Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi; Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, 2022. [paper] [code]

• Exploiting stance hierarchies for cost-sensitive stance detection of Web documents; Arjun Roy, Pavlos Fafalios, Asif Ekbal, Xiaofei Zhu, Stefan Dietze; Journal of Intelligent Information Systems (JIIS), Springer, 2022. [paper] [code]

• Parity-based Cumulative Fairness-aware Boosting; Vasileios Iosifidis, Arjun Roy, Eirini Ntoutsi; Knowledge and Information Systems (KAIS), Springer, 2022. [paper] [code] 

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