Publications

Journal, conference and workshop papers by Patrik Kenfack, with PDFs, code, slides and BibTeX.

Publications

Journal, conference, workshop, and preprints. The full list is on Google Scholar.

2026

WorkshopSpotlight Oral

Training Fair Tabular Foundation Models

Patrik Kenfack, Jesse Cresswell, Anthony Caterini, Samira Ebrahimi Kahou, Ulrich Aïvodji

2st ICML Workshop on Foundation Models for Structured Data

Paper PDF Code Slides Video

@inproceedings{
kenfack2026training,
title={Training Fair Tabular Foundation Models},
author={Patrik Kenfack and Jesse C. Cresswell and Anthony L. Caterini and Samira Ebrahimi Kahou and Ulrich A{\"\i}vodji},
booktitle={2nd ICML Workshop on Foundation Models for Structured Data},
year={2026},
url={https://openreview.net/forum?id=ajIvCEbadL}
}

JournalWorkshop

Towards Fair In-Context Learning with Tabular Foundation Models

Patrik Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji

Transactions on Machine Learning Research | 1st ICML Workshop on Foundation Models for Structured Data

Paper Code Video

@article{
kenfack2026towards,
title={Towards Fair In-Context Learning with Tabular Foundation Models},
author={Patrik Kenfack and Samira Ebrahimi Kahou and Ulrich A{\"\i}vodji},
journal={Transactions on Machine Learning Research},
issn={2835-8856},
year={2026},
url={https://openreview.net/forum?id=AsBhwD0sqo},
note={}
}

2025

JournalWorkshop

Adaptive Group Robust Ensemble Knowledge Distillation

Patrik Kenfack, Ulrich Aïvodji, Samira Ebrahimi Kahou

Transactions on Machine Learning Research | NeurIPS Algorithmic Fairness through the lens of Metrics and Evaluation Workshop

Paper PDF Code Video

@article{
kenfack2025adaptive,
title={Adaptive Group Robust Ensemble Knowledge Distillation},
author={Patrik Kenfack and Ulrich A{\"\i}vodji and Samira Ebrahimi Kahou},
journal={Transactions on Machine Learning Research},
issn={2835-8856},
year={2025},
url={https://openreview.net/forum?id=G2BEBaKd8Y},
note={}
}

Journal

Survey on AI Ethics: A Socio-technical Perspective

Mbiazi Dave, Meghana Bhange, Maryam Babaei, Ivaxi Sheth, Patrik Kenfack, and Samira Ebrahim

Computational Intelligence

Paper PDF

@article{mbiazi2025survey,
  title={Survey on AI Ethics: A Socio-Technical Perspective},
  author={Mbiazi, Dave and Bhange, Meghana and Babaei, Maryam and Sheth, Ivaxi and Kenfack, Patrik and Kahou, Samira Ebrahimi},
  journal={Computational Intelligence},
  volume={41},
  number={6},
  pages={e70149},
  year={2025},
  publisher={Wiley Online Library}
}

Workshop

GradTune: Last-layer Fine-tuning for Group Robustness Without Group Annotation

Patrik Kenfack, Ulrich Aïvodji, Samira Ebrahimi Kahou

ICLR Workshop on Spurious Correlation and Shortcut Learning: Foundations and Solutions

Paper PDF

@inproceedings{
kenfack2025gradtune,
title={GradTune: Last-layer Fine-tuning for Group Robustness Without Group Annotation},
author={Patrik Joslin Kenfack and Ulrich A{\"\i}vodji and Samira Ebrahimi Kahou},
booktitle={Workshop on Spurious Correlation and Shortcut Learning: Foundations and Solutions},
year={2025},
url={https://openreview.net/forum?id=WL9Sxi3iat}
}

Workshop

Towards personalized healthcare without harm via bias modulation

Frank Ngaha, Patrik Kenfack, Ulrich Aïvodji, Samira Ebrahimi Kahou

ICLR Workshop on Spurious Correlation and Shortcut Learning: Foundations and Solutions

Paper PDF

@inproceedings{
ngaha2025towards,
title={Towards personalized healthcare without harm via bias modulation},
author={Frank Ngaha and Patrik Joslin Kenfack and Ulrich A{\"\i}vodji and Samira Ebrahimi Kahou},
booktitle={Workshop on Spurious Correlation and Shortcut Learning: Foundations and Solutions},
year={2025},
url={https://openreview.net/forum?id=DBQ0b5JTxk}
}

2024

Journal

Fairness Under Demographic Scarce Regime

Patrik Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji

Transactions on Machine Learning Research

Paper PDF Code Video

@article{
kenfack2024fairness,
title={Fairness Under Demographic Scarce Regime},
author={Patrik Joslin Kenfack and Samira Ebrahimi Kahou and Ulrich A{\"\i}vodji},
journal={Transactions on Machine Learning Research},
issn={2835-8856},
year={2024},
url={https://openreview.net/forum?id=TB18G0w6Ld},
note={}
}

Journal

A Survey on Fairness Without Demographics

Patrik Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji

Transactions on Machine Learning Research

Paper PDF

@article{
kenfack2024a,
title={A Survey on Fairness Without Demographics},
author={Patrik Kenfack and Samira Ebrahimi Kahou and Ulrich A{\"\i}vodji},
journal={Transactions on Machine Learning Research},
issn={2835-8856},
year={2024},
url={https://openreview.net/forum?id=3HE4vPNIfX},
note={}
}

2023

Conference

Learning Fair Representations through Uniformly Distributed Sensitive Attributes

Patrik Kenfack, Adín Ramírez Rivera, Adil Khan, Manuel Mazarra

IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)

Paper Code

@inproceedings{
kenfack2023learning,
title={Learning Fair Representations through Uniformly Distributed Sensitive Attributes},
author={Patrik Joslin Kenfack and Ad{\'\i}n Ram{\'\i}rez Rivera and Adil Khan and Manuel Mazarra},
booktitle={First IEEE Conference on Secure and Trustworthy Machine Learning},
year={2023},
url={https://openreview.net/forum?id=iW7r_6LuHwA}
}

Conference

RepFair-GAN: Mitigating Representation Bias in GANs Using Gradient Clipping

Kamil Sabbagh, Patrik Joslin Kenfack, Adín Ramírez Rivera, Adil Khan

Tiny Papers @ ICLR 2023

Paper PDF

@misc{
sabbagh2023repfairgan,
title={RepFair-{GAN}: Mitigating Representation Bias in {GAN}s Using Gradient Clipping},
author={Kamil Sabbagh and Patrik Joslin Kenfack and Ad{\'\i}n Ram{\'\i}rez Rivera and Adil Khan},
year={2023},
url={https://openreview.net/forum?id=frB4MiYGoD_}
}

2021

Conference

Impact of Model Ensemble On the Fairness of Classifiers in Machine Learning

Patrik Kenfack, Adil Khan; S.M. Ahsan Kazmi, Rasheed Hussain, Alma Oracevic, Asad Masood Khattak

International Conference on Applied Artificial Intelligence (ICAPAI)

Paper PDF

@inproceedings{kenfack2021impact,
  title={Impact of model ensemble on the fairness of classifiers in machine learning},
  author={Kenfack, Patrik Joslin and Khan, Adil Mehmood and Kazmi, SM Ahsan and Hussain, Rasheed and Oracevic, Alma and Khattak, Asad Masood},
  booktitle={2021 International conference on applied artificial intelligence (ICAPAI)},
  pages={1--6},
  year={2021},
  organization={IEEE}
}

Workshop

DP-SGD vs PATE: Which Has Less Disparate Impact on Model Accuracy?

Archit Uniyal, Rakshit Naidu, Sasikanth Kotti, Sahib Singh, Patrik Kenfack, Fatemehsadat Mireshghallah, Andrew Trask

ICML Workshop on Machine Learning for Data: Automated Creation, Privacy, Bias,

Paper PDF
```
@misc{
sabbagh2023repfairgan,
title={RepFair-{GAN}: Mitigating Representation Bias in {GAN}s Using Gradient Clipping},
author={Kamil Sabbagh and Patrik Joslin Kenfack and Ad{\'\i}n Ram{\'\i}rez Rivera and Adil Khan},
year={2023},
url={https://openreview.net/forum?id=frB4MiYGoD_}
}
```

Conference

On the Fairness of Generative Adversarial Networks (GANs)

Patrik Kenfack, Daniil Arapov, Rasheed Hussain, S.M. Ahsan Kazmi, Adil Khan

International Conference “Nonlinearity, Information and Robotics” (NIR)

Paper PDF

@inproceedings{kenfack2021fairness,
  title={On the fairness of generative adversarial networks (gans)},
  author={Kenfack, Patrik Joslin and Arapov, Daniil Dmitrievich and Hussain, Rasheed and Kazmi, SM Ahsan and Khan, Adil},
  booktitle={2021 International Conference" Nonlinearity, Information and Robotics"(NIR)},
  pages={1--7},
  year={2021},
  organization={IEEE}
}