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2. A Deep Dive into Deep Learning-Based Adversarial Attacks and Defenses in Computer Vision: From a Perspective of Cybersecurity

3. Making Domain Specific Adversarial Attacks for Retinal Fundus Images

4. An Adversarial Robustness Benchmark for Enterprise Network Intrusion Detection

5. On Real-Time Model Inversion Attacks Detection

6. Evaluating Port Emissions Prediction Model Resilience Against Cyberthreats

7. The Adversarial AI-Art: Understanding, Generation, Detection, and Benchmarking

8. Adversarial Attacks on Large Language Models

9. Different Attack and Defense Types for AI Cybersecurity

10. Adversarial-Robust Transfer Learning for Medical Imaging via Domain Assimilation

11. A Comparative Analysis of Evolutionary Adversarial One-Pixel Attacks

12. Adversarial Attacks and Defenses in Capsule Networks: A Critical Review of Robustness Challenges and Mitigation Strategies

14. Deceiving Airborne Object Detectors Using Adversarial AI

15. SCME: A Self-contrastive Method for Data-Free and Query-Limited Model Extraction Attack