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Threats and vulnerabilities in artificial intelligence and agentic AI models. [PDF]
Front Artif IntellRadanliev P, Santos O, Maple C.
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Universal and transferable attacks on pathology foundation models using microscopic perturbations. [PDF]
Light Sci ApplWang Y +5 more
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Adversarial CAM Guidance for Chest X-Ray Classification: Reducing Framing Sensitivity with Mask Supervision. [PDF]
Biomimetics (Basel)Batchuluun G, Lee SJ, Im SJ, Park KR.
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Intrusion Detection in the Internet of Things: A Comprehensive Review of Techniques, Architectures, Datasets, and Emerging Trends. [PDF]
Sensors (Basel)Komal A, Li S.
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A Spatially Distributed Perturbation Strategy with Smoothed Gradient Sign Method for Adversarial Analysis of Image Classification Systems. [PDF]
Entropy (Basel)Xu Y, Li J, Chang D, Dong Y.
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Robust generative adversarial network
Machine Learning, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shufei Zhang +6 more
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Robustness for Adversarial Risk Analysis
2016Adversarial Risk Analysis is an emergent paradigm for supporting a decision maker who faces adversaries in problems in which the consequences are random and depend on the actions of all participating agents. In this chapter, we outline a framework for robust analysis methods in Adversarial Risk Analysis. Our discussion focuses on security applications.
D Rios Insua +3 more
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