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Lucas Gnecco Heredia

2 accepted papers

2025

Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory

AISTATS 2025poster

Randomization as a mean to improve the adversarial robustness of machine learning models has recently attracted significant attention. Unfortunately, much of the theoretical analysis so far has focused on binary classification, providing only limited insights into the more complex multiclass setting…

Cited by 0SourceScholar
2023

On the Role of Randomization in Adversarially Robust Classification

NeurIPS 2023spotlight

Deep neural networks are known to be vulnerable to small adversarial perturbations in test data. To defend against adversarial attacks, probabilistic classifiers have been proposed as an alternative to deterministic ones. However, literature has conflicting findings on the effectiveness of probabili…

Cited by 5SourcePDFScholar