Robust Pervasive Detection for Adversarial Samples of Artificial Intelligence in IoT Environments.
Shen WangZhuobiao QiaoPublished in: IEEE Access (2019)
Keyphrases
- artificial intelligence
- data sets
- computing environments
- partial occlusion
- real world
- reliable detection
- detection accuracy
- computer science
- management system
- training samples
- false alarms
- ambient intelligence
- detection method
- detection algorithm
- multi agent
- expert systems
- artificially intelligent
- landmark detection
- smart environments
- object recognition
- intelligent systems
- digital images
- false positives
- computational intelligence
- computationally efficient
- context aware
- detection rate
- mobile devices
- software engineering
- mobile computing
- natural language processing
- intelligent environments
- noisy environments
- cluttered background
- machine learning