Neural network robustness evaluation based on interval analysis
Y Xu, Z Wei, Z Li, X Wei, Y Lu - Neural Computing and Applications, 2023 - Springer
Neural networks are widely deployed in many scenarios and have reached or exceeded
human-level performance in some tasks. However, the researchers found that existing …
human-level performance in some tasks. However, the researchers found that existing …
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping
Adversarial examples generated by a surrogate model typically exhibit limited transferability
to unknown target systems. To address this problem, many transferability enhancement …
to unknown target systems. To address this problem, many transferability enhancement …
DeltaBound Attack: Efficient decision-based attack in low queries regime
L Rossi - arXiv preprint arXiv:2210.00292, 2022 - arxiv.org
Deep neural networks and other machine learning systems, despite being extremely
powerful and able to make predictions with high accuracy, are vulnerable to adversarial …
powerful and able to make predictions with high accuracy, are vulnerable to adversarial …