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When Your AI Becomes a Target: AI Security Incidents and Best Practices.

, , , , and . AAAI, page 23041-23046. AAAI Press, (2024)

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Adversarial Vulnerability Bounds for Gaussian Process Classification., , , and . CoRR, (2019)Mental Models of Adversarial Machine Learning., , , and . CoRR, (2021)Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning., , , , , , , , , and . ACM Comput. Surv., 55 (13s): 294:1-294:39 (2023)Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions., , , , , , and . CoRR, (2021)When Your AI Becomes a Target: AI Security Incidents and Best Practices., , , , and . AAAI, page 23041-23046. AAAI Press, (2024)A First Approach to Mining Opinions as Multisets through Argumentation., , , and . AT, volume 8068 of Lecture Notes in Computer Science, page 195-209. Springer, (2013)"Why do so?" - A Practical Perspective on Machine Learning Security., , , , and . CoRR, (2022)Rethinking data augmentation for adversarial robustness., , , , , , , and . Inf. Sci., (January 2024)Towards more Practical Threat Models in Artificial Intelligence Security., , , and . CoRR, (2023)Why is Machine Learning Security so hard?. Saarland University, Saarbrücken, Germany, (2020)