Manifold Projection for Adversarial Defense on Face Recognition.
Jianli ZhouChao LiangJun ChenPublished in: ECCV (30) (2020)
Keyphrases
- face recognition
- appearance based face recognition
- linear subspace
- manifold learning
- intrinsic manifold
- face images
- projection operator
- low dimensional
- locality preserving projections
- principal component analysis
- locality preserving
- recognition rate
- discriminant analysis
- linear discriminant analysis
- network security
- high dimensional
- recognition accuracy
- intrusion detection
- multi agent
- feature extraction
- robust face recognition
- subspace learning
- local binary pattern
- projection method
- human faces
- advanced research projects agency
- computer vision
- face recognition algorithms
- face recognition systems
- facial expressions
- pose variations
- face detection
- sparse representation
- geodesic distance
- parameter space
- face databases
- image set
- semi supervised
- lower dimensional
- dimensionality reduction
- fisher information
- facial images
- geometric structure
- ddos attacks
- subspace methods
- riemannian manifolds
- face verification