adversarial image synthesis
Adversarial image synthesis is the computational process of creating images that are specially designed to deceive and mislead artificial intelligence systems, often by inserting imperceptible perturbations to manipulate the system's perception and classification of the image.
Requires login.
Related Concepts (1)
Similar Concepts
- adversarial anomaly detection
- adversarial attacks
- adversarial autoencoders
- adversarial deep learning
- adversarial feature learning
- adversarial image classification
- adversarial input synthesis
- adversarial machine learning
- adversarial perturbations
- adversarial reinforcement learning
- adversarial text generation
- adversarial training
- generative adversarial networks
- generative adversarial networks (gans)
- image synthesis