2 citations · 3 across the 3 of their papers we have counts for
3 papers
IGAff: Benchmarking Adversarial Iterative and Genetic Affine Algorithms on Deep Neural Networks
Sebastian-Vasile Echim, Andrei-Alexandru Preda, Dumitru-Clementin Cercel +1
Deep neural networks currently dominate many fields of the artificial intelligence landscape, achieving state-of-the-art results on numerous tasks while remaining hard to understan…
Explainability-Driven Leaf Disease Classification Using Adversarial Training and Knowledge Distillation
Sebastian-Vasile Echim, Iulian-Marius Tăiatu, Dumitru-Clementin Cercel +1
This work focuses on plant leaf disease classification and explores three crucial aspects: adversarial training, model explainability, and model compression. The models' robustness…
From Fake to Hyperpartisan News Detection Using Domain Adaptation
Răzvan-Alexandru Smădu, Sebastian-Vasile Echim, Dumitru-Clementin Cercel +2
Unsupervised Domain Adaptation (UDA) is a popular technique that aims to reduce the domain shift between two data distributions. It was successfully applied in computer vision and…