Fengfan Zhou
Biographic Data
| ID | 10053992 |
|---|---|
| NAME | Fengfan Zhou |
| GIVEN NAMES | Fengfan |
| FAMILY NAME | Zhou |
| SIGNATURE | ZHOU F |
| AFFILIATIONS | Huazhong University of Science and Technology |
| ORCID | 0000-0002-1117-1126 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Improving the Transferability of Adversarial Attacks on Face Recognition With Beneficial Perturbation Feature Augmentation
Face recognition (FR) models can be easily fooled by adversarial examples, which are crafted by adding imperceptible perturbations on benign face images. The existence of adversarial face examples poses a great threat to the security of society. To build a more sustainable digital nation, in this article, we improve the transferability of adversarial face examples to expose more blind spots of the existing FR models. Though generating hard sample…
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Improving the Transferability of Adversarial Attacks on Face Recognition With Beneficial Perturbation Feature Augmentation
Face recognition (FR) models can be easily fooled by adversarial examples, which are crafted by adding imperceptible perturbations on benign face images. The existence of adversarial face examples poses a great threat to the security of society. To build a more sustainable digital nation, in this article, we improve the transferability of adversarial face examples to expose more blind spots of the existing FR models. Though generating hard sample…
Adversarial Robustness in Machine Learning (1 work) · Adversarial system (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Computer Science (1 work) · COVID-19 diagnosis using AI (1 work) · Facial recognition system (1 work) · Generalization (1 work) · Machine learning (1 work) · Mathematics (1 work)