Author

Y. Chevaleyre

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#machine learning Preprint Sep 2026

Frame the adversary: a structure-aware attack methodology

This paper proposes a methodology for crafting principled frequency-based adversarial attacks, via a dedicated optimization framework, and proves that the attacks emerge as weighted $\ell_2$-projections onto this set, yielding a general and controlled attack generation mechanism.

Vicky Kouni, Stelios Perrakis, Francis R. Bach et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Performative Privacy: When Differential Privacy Maximizes Utility

It is shown, through a theoretical study of the dynamics and numerical experiments, that a finite privacy budget can outperform non-private estimation in the long term when the feedback loop between leakage and participation is sufficiently strong.

Uddalak Mukherjee, Edwige Cyffers, Y. Chevaleyre · 0 citations