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2. A composite manifold learning approach with traditional methods for gradient-based and patch-based adversarial attack detection
3. RobustFace: a novel image restoration technique for face adversarial robustness improvement
4. Data augmentation and adversary attack on limit resources text classification
5. A robust hybrid digital watermarking technique against a powerful CNN-based adversarial attack
6. Medical images under tampering
7. Unlocking adversarial transferability: a security threat towards deep learning-based surveillance systems via black box inference attack- a case study on face mask surveillance
8. Untargeted white-box adversarial attack to break into deep learning based COVID-19 monitoring face mask detection system
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