Generative Adversarial Networks for Intrusion Detection Systems: A Comprehensive Survey of Applications, Challenges, and Research Directions. [PDF]
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Advances in protein ubiquitination modification and immune evasion of breast cancer. [PDF]
Front Cell Dev BiolWu Y, Jin J, Cheng X, Fu Z, Xie H.
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STAT3 signaling in cancer: mechanisms and targeting therapeutic. [PDF]
Front ImmunolBai Y, Zhang Z, Zhang J.
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OntoSecAI: Ontology-driven security automation for AI-enabled systems. [PDF]
PLoS OneUllah U, Haleem M, Ullah A.
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A review of soluble mediator and cytokine networks linking combination immunotherapy, tumor microenvironment remodeling and skeletal muscle dysfunction. [PDF]
Front ImmunolWu J +8 more
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Online-Tuned Fuzzy Pre-Filtering with an Attention BiLSTM for Misbehavior Detection in Vehicular Named Data Networking. [PDF]
Sensors (Basel)Aldahlan B.
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Adversarial Feature Selection Against Evasion Attacks [PDF]
IEEE Transactions on Cybernetics, 2016 Pattern recognition and machine learning techniques have been increasingly adopted in adversarial settings such as spam, intrusion and malware detection, although their security against well-crafted attacks that aim to evade detection by manipulating data at test time has not yet been thoroughly assessed.
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Evasion Attack in Show and Tell Model
2020 22nd International Conference on Advanced Communication Technology (ICACT), 2020Recently, deep learning technology has been applied to various fields with high performance and various services. Image recognition is also used in various fields with high performance by incorporating deep learning technology. However, deep learning technology is vulnerable to evasion attacks that cause the model to be misclassified by modulating the ...
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