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FuzzGAN: A Generation-Based Fuzzing Framework for Testing Deep Neural Networks.

Ge HanZheng LiPeng TangChengyu HuShanqing Guo
Published in: HPCC/DSS/SmartCity/DependSys (2022)
Keyphrases
  • neural network
  • main contribution
  • neural network model
  • image sequences
  • theoretical framework
  • pattern recognition
  • artificial neural networks
  • fuzzy logic
  • lightweight
  • multiple layers