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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
13. UnboundAttack: Generating Unbounded Adversarial Attacks to Graph Neural Networks
14. Deceiving Airborne Object Detectors Using Adversarial AI
15. SCME: A Self-contrastive Method for Data-Free and Query-Limited Model Extraction Attack
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