Adversarial Attacks

• Robustness May Be at Odds with Accuracy

See the sections in Language Models on:

• Attacks on and Defences for (L)LMs
• Watermarking of (Large) Language Models

Resources 📚

• 10.4 Adversarial Examples Interpretable Machine Learning from Interpretable Machine Learning: A Guide for Making Black Box Models Explainable by Christoph Molnar
• Adversarial Attacks on Neural Networks Exploring the Fast Gradient Sign Method
• Adversarial attacks with FGSM (Fast Gradient Sign Method) - PyImageSearch

See also:

• Why I attack