2024
DataFreeShield: Defending Adversarial Attacks without Training Data
ICML 2024poster
Recent advances in adversarial robustness rely on an abundant set of training data, where using external or additional datasets has become a common setting. However, in real life, the training data is often kept private for security and privacy issues, while only the pretrained weight is available t…