Closed innat closed 2 years ago
Thanks for your interest in NSL!
Yes, we do provide various adversarial attack methods (including FGSM, PGD, etc). See this file for more info: https://github.com/tensorflow/neural-structured-learning/blob/master/neural_structured_learning/lib/adversarial_neighbor.py
Connection between the "term" NSL and adversarial example: adversarial examples can be treated as "neighbors" of the original example with "edges" constructed dynamically. So in NSL repo, these adversarial examples are often referred as adversarial neighbors. Feel free to see here for more introductory info: https://www.tensorflow.org/neural_structured_learning
It's an awesome library, thanks for creating. I've some beginner queries: