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Tactical-Grade Wearables and Authentication Biometrics. [PDF]
Sensors (Basel)Agiomavritis F, Karanasiou I.
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Enhancing tumor deepfake detection in MRI scans using adversarial feature fusion ensembles. [PDF]
Sci RepAli A +5 more
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Markov Chain Wave Generative Adversarial Network for Bee Bioacoustic Signal Synthesis. [PDF]
Sensors (Basel)Samarappuli K +3 more
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Evaluating gait system vulnerabilities through PPO and GAN-generated adversarial attacks. [PDF]
Sci RepSaoudi EM, Jaafari J, Jai Andaloussi S.
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2023
This NIST AI report develops a taxonomy of concepts and defines terminology in the field of adversarial machine learning (AML). The taxonomy is built on survey of the AML literature and is arranged in a conceptual hierarchy that includes key types of ML methods and lifecycle stage of attack, attacker goals and objectives, and attacker capabilities and ...
Alina Oprea, Apostol Vassilev
+4 more sources
This NIST AI report develops a taxonomy of concepts and defines terminology in the field of adversarial machine learning (AML). The taxonomy is built on survey of the AML literature and is arranged in a conceptual hierarchy that includes key types of ML methods and lifecycle stage of attack, attacker goals and objectives, and attacker capabilities and ...
Alina Oprea, Apostol Vassilev
+4 more sources
This NIST AI report develops a taxonomy of concepts and defines terminology in the field of adversarial machine learning (AML). The taxonomy is built on survey of the AML literature and is arranged in a conceptual hierarchy that includes key types of ML methods and lifecycle stage of attack, attacker goals and objectives, and attacker capabilities and ...
Apostol Vassilev +3 more
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Apostol Vassilev +3 more
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