1. Fine-pruning: Defending against backdooring attacks on deep neural networks;liu;International Symposium on Research in Attacks Intrusions and Defenses,0
2. Composite Backdoor Attack for Deep Neural Network by Mixing Existing Benign Features
3. Universal litmus patterns: Revealing back-door attacks in cnns;kolouri;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,0
4. Supervised contrastive learning;khosla;ArXiv Preprint,2020