NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks.
Yandong LiLijun LiLiqiang WangTong ZhangBoqing GongPublished in: ICML (2019)
Keyphrases
- black box
- neural network
- learning algorithm
- learning process
- machine learning
- unsupervised learning
- artificial intelligence
- multi agent
- artificial neural networks
- high level
- supervised learning
- computational intelligence
- case study
- software systems
- neural nets
- rule extraction
- cerebellar model articulation controller