Advancing Ethical AI: Fairness, Diversity, and Privacy in Generative Modeling. (Avancer l'IA éthique: équité, diversité et confidentialité dans la modélisation generative).

[BibT_eX]

[DOI]

Mariia Zameshina

PhD thesis, 2024

Log-normal Mutations and their Use in Detecting Surreptitious Fake Images.

[BibT_eX]

[DOI]

CoRR, 2024

2023

PrivacyGAN: robust generative image privacy.

[BibT_eX]

[DOI]

CoRR, 2023

Diverse Diffusion: Enhancing Image Diversity in Text-to-Image Generation.

[BibT_eX]

[DOI]

Mariia Zameshina

Olivier Teytaud

Laurent Najman

CoRR, 2023

2022

Fairness in generative modeling.

[BibT_eX]

[DOI]

CoRR, 2022

Fairness in generative modeling: do it unsupervised!

[BibT_eX]

[DOI]

Nathanaël Carraz Rakotonirina

Laurent Najman

Markus Wagner

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2020

EvolGAN: Evolutionary Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Mariia Zameshina

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