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On the Security Relevance of Initial Weights in Deep Neural Networks.

, , , , and . ICANN (1), volume 12396 of Lecture Notes in Computer Science, page 3-14. Springer, (2020)

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Mental Models of Adversarial Machine Learning., , , and . CoRR, (2021)Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions., , , , , , 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)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)Adversarial Vulnerability Bounds for Gaussian Process Classification., , , and . CoRR, (2019)When Your AI Becomes a Target: AI Security Incidents and Best Practices., , , , and . AAAI, page 23041-23046. AAAI Press, (2024)Rethinking data augmentation for adversarial robustness., , , , , , , and . Inf. Sci., (January 2024)Towards more Practical Threat Models in Artificial Intelligence Security., , , and . CoRR, (2023)Machine Learning Security in Industry: A Quantitative Survey., , , , and . IEEE Trans. Inf. Forensics Secur., (2023)An Argument-based Approach to Mining Opinions from Twitter., , and . AT, volume 918 of CEUR Workshop Proceedings, page 408-422. CEUR-WS.org, (2012)