About
Contact & Profiles
A5082536757
Research Areas
- Anomaly Detection Techniques and Applications
- Adversarial Robustness in Machine Learning
- Advanced Neural Network Applications
- Integrated Circuits and Semiconductor Failure Analysis
Beihang University
2023-2024
10.1016/j.infsof.2023.107214
article
EN
Information and Software Technology
2023-04-03
The vulnerability of modern neural networks to random noise and deliberate attacks has raised concerns about their robustness, particularly as they are increasingly utilized in safety- security-critical applications. Although recent research efforts were made enhance robustness through retraining with adversarial examples or employing data augmentation techniques, a comprehensive investigation into the effects training perturbations on model remains lacking. This paper presents first...
10.3390/s24154874
article
EN
cc-by
Sensors
2024-07-26
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