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2. Making Domain Specific Adversarial Attacks for Retinal Fundus Images
3. An Adversarial Robustness Benchmark for Enterprise Network Intrusion Detection
4. On Real-Time Model Inversion Attacks Detection
5. On Effectiveness of the Adversarial Attacks on the Computer Systems of Biomedical Images Classification
6. Towards Improving the Anti-attack Capability of the RangeNet++
7. Transformers in Unsupervised Structure-from-Motion
8. Improving the Transferability of Adversarial Attacks Through Both Front and Rear Vector Method
9. Research on Neural Network Defense Problem Based on Random Noise Injection
10. Towards Explaining Shortcut Learning Through Attention Visualization and Adversarial Attacks
11. Evaluating Port Emissions Prediction Model Resilience Against Cyberthreats
12. The Adversarial AI-Art: Understanding, Generation, Detection, and Benchmarking
13. A Comparative Analysis of Evolutionary Adversarial One-Pixel Attacks
14. Adversarial Attacks and Defenses in Capsule Networks: A Critical Review of Robustness Challenges and Mitigation Strategies
15. UnboundAttack: Generating Unbounded Adversarial Attacks to Graph Neural Networks
16. Rethinking the Evaluation of Deep Neural Network Robustness
17. Unfooling SHAP and SAGE: Knockoff Imputation for Shapley Values
18. Boosting Adversarial Transferability Through Intermediate Feature
19. Towards Robustness of Large Language Models on Text-to-SQL Task: An Adversarial and Cross-Domain Investigation
20. Data-Free Model Extraction Attacks in the Context of Object Detection
21. Preventing Adversarial Attacks on Autonomous Driving Models
22. Attribution-Based Confidence Metric for Detection of Adversarial Attacks on Breast Histopathological Images
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