The test results from three distinct types of neural networks demonstrate that the uncertainty principle plays a crucial role even in more complex network architectures. (IMAGE)

Science China Press

The test results from three distinct types of neural networks demonstrate that the uncertainty principle plays a crucial role even in more complex network architectures.

Caption

Subfigures (A), (C), (E), (G), (I), and (K) display the test accuracy and the robust accuracy, with the latter assessed on images perturbed by the Projected Gradient Descent (PDG) attack method. Subfigures (B), (D), (F), (H), (J), and (L) reveal the trade-off relationship between accuracy and robustness.

Credit

©Science China Press

Usage Restrictions

Use with credit.

License

Original content

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.