Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation

no code implementations • 20 Feb 2024 • Anas Himmi, Guillaume Staerman, Marine Picot, Pierre Colombo, Nuno M. Guerreiro

Hallucinated translations pose significant threats and safety concerns when it comes to the practical deployment of machine translation systems.

Hallucination Machine Translation +1

Toward Stronger Textual Attack Detectors

1 code implementation • 21 Oct 2023 • Pierre Colombo, Marine Picot, Nathan Noiry, Guillaume Staerman, Pablo Piantanida

The landscape of available textual adversarial attacks keeps growing, posing severe threats and raising concerns regarding the deep NLP system's integrity.

MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors

1 code implementation • 30 Jun 2022 • Federica Granese, Marine Picot, Marco Romanelli, Francisco Messina, Pablo Piantanida

Detection of adversarial examples has been a hot topic in the last years due to its importance for safely deploying machine learning algorithms in critical applications.

Adversarial Robustness via Fisher-Rao Regularization

1 code implementation • 12 Jun 2021 • Marine Picot, Francisco Messina, Malik Boudiaf, Fabrice Labeau, Ismail Ben Ayed, Pablo Piantanida

Adversarial robustness has become a topic of growing interest in machine learning since it was observed that neural networks tend to be brittle.

Adversarial Defense Adversarial Robustness