Can we trust AI? towards practical implementation and theoretical analysis in trustworthy machine learning
Deep learning or deep neural networks (DNNs) have achieved extraordinary performance in many application domains such as image classification, object detection and recognition, natural language processing and medical image analysis. It has been well accepted that DNNs are vulnerable to adversarial a...
| Published: |
|
|---|---|
| Online Access: | http://hdl.handle.net/2047/D20413930 |