Latent Space-Based Backdoor Attacks Against Deep Neural Networks.
Adrian KristantoShuo WangCarsten RudolphPublished in: IJCNN (2022)
Keyphrases
- latent space
- neural network
- latent variables
- low dimensional
- gaussian process
- lower dimensional
- generative model
- dimensionality reduction
- matrix factorization
- pattern recognition
- feature space
- probabilistic latent semantic analysis
- gaussian process latent variable models
- manifold learning
- high dimensional
- gaussian processes
- probabilistic model
- parameter space
- transfer learning
- distance metric
- gaussian mixture
- high dimensional data
- recommender systems
- random variables
- latent dirichlet allocation
- collaborative filtering
- prior knowledge
- support vector
- machine learning