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National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

natural images

biblio

Visible to the public Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection

Submitted by grigby1 on Fri, 06/19/2020 - 11:49am
  • machine learning
  • Training
  • Sensitivity
  • Scalability
  • Resiliency
  • resilience
  • pubcrawl
  • Policy-Governed Secure Collaboration
  • policy-based governance
  • Perturbation methods
  • noninvasive universal perturbation attack
  • Neural networks
  • natural scenes
  • natural images
  • MobileNet
  • adversarial examples
  • learning (artificial intelligence)
  • layer directed discriminative noise
  • false trust
  • false positive rate
  • dominant layers
  • distortion
  • discriminative noise injection strategy
  • deep neural networks
  • deep learning
  • convolutional neural nets
  • computer vision tasks
  • computer vision
  • computer architecture
  • adversarial images
biblio

Visible to the public Image steganography using texture features and GANs

Submitted by aekwall on Mon, 03/30/2020 - 11:40am
  • complex texture regions
  • varisized images
  • truncated layer
  • texture-based loss
  • texture features
  • texture feature
  • stego images
  • stego image distortions
  • natural images
  • invisible perturbations
  • Image Steganography
  • hidden writing
  • encoder-decoder framework
  • cover images
  • convolutional network
  • feature extraction
  • Adversarial training
  • adversarial discriminator
  • Steganography
  • secret information
  • mean squared error
  • image texture
  • deep neural networks
  • QR codes
  • QR code
  • cyber physical systems
  • Cryptography
  • pubcrawl
  • Resiliency

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