https://github.com/Daniel-Liu-c0deb0t/Adversarial-point-perturbations-on-3D-objects

New distributional and shape attacks on neural networks that process 3D point cloud data.
https://github.com/Daniel-Liu-c0deb0t/Adversarial-point-perturbations-on-3D-objects

3d-point-clouds adversarial-attacks algorithms deep-learning matplotlib numba numpy pointnet python tensorflow

Last synced: 13 days ago
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New distributional and shape attacks on neural networks that process 3D point cloud data.

• Host: GitHub
• URL: https://github.com/Daniel-Liu-c0deb0t/Adversarial-point-perturbations-on-3D-objects
• Owner: Daniel-Liu-c0deb0t
• Created: 2019-06-03T21:12:54.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2023-03-24T22:29:04.000Z (over 1 year ago)
• Last Synced: 2024-10-15T18:45:32.886Z (25 days ago)
• Topics: 3d-point-clouds, adversarial-attacks, algorithms, deep-learning, matplotlib, numba, numpy, pointnet, python, tensorflow
• Language: Python
• Homepage:
• Size: 10.7 MB
• Stars: 37
• Watchers: 4
• Forks: 7
• Open Issues: 5
• Metadata Files:
  • Readme: README.md

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