Crafting adversarial input sequences for recurrent neural networks

Proceedings - IEEE Military Communications Conference MILCOM

Volumn , Issue , 2016, Pages 49-54

  Papernot, Nicolas ^a   McDaniel, Patrick ^a   Swami, Ananthram ^b   Harang, Richard ^b  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b U S ARMY RESEARCH LABORATORY   (United States)

Author keywords

Adaptation models; Biological neural networks; Computational modeling; Mathematical model; Neurons; Recurrent neural networks

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPLEX NETWORKS; DATA HANDLING; ELECTRONIC TRADING; LEARNING SYSTEMS; MATHEMATICAL MODELS; MILITARY COMMUNICATIONS; NEURAL NETWORKS; NEURONS;

ADAPTATION MODELS; AUTONOMOUS VEHICLES; BIOLOGICAL NEURAL NETWORKS; CLASSIFICATION TASKS; COMPUTATIONAL MODEL; COMPUTER VISION APPLICATIONS; MACHINE LEARNING MODELS; SECURITY PROBLEMS;

RECURRENT NEURAL NETWORKS;

EID: 85011845631     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MILCOM.2016.7795300     Document Type: Conference Paper

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