An integrated evolution-aware meta-learning framework with adversarial morphological augmentation for zero-day threat detections. [PDF]
Front Artif IntellLanka K, Shaik K.
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Evaluation of Explainable Artificial Intelligence in IoT Intrusion Detection Systems Under DeepFool Adversarial Conditions. [PDF]
Sensors (Basel)Munilla J, Khammas RM.
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Localized Query Attack Toward Transformer-Based Visible Object Detectors. [PDF]
Sensors (Basel)Wang Y, Li A, Yang Z, Liu X.
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Evaluating the Adversarial Robustness and Clinical Safety of Quantized Hierarchical Transformers for Edge-Based Malaria Microscopy. [PDF]
Sensors (Basel)Hasan U, Alghamdi TG, Nayeem MA.
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When collaboration fails: persuasion driven adversarial influence in multi agent large language model debate. [PDF]
Sci RepKraidia I +4 more
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AI in Dermato-Oncology: Diagnostic Performance and Prompt-Injection Vulnerability of Vision-Language Models in Dermoscopic Skin Cancer Assessment. [PDF]
Cancers (Basel)Güler I +5 more
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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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Enhanced cybersecurity threat detection using novel tri-metaheuristic loss functions in generative adversarial networks with adaptive attention preservation for network traffic augmentation. [PDF]
Sci RepKhalil HM, Elrefaiy A, Elbaz M, Loey M.
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