1. Generative models for effective ML on private, decentralized datasets;Augenstein,2019
2. How to backdoor federated learning;Bagdasaryan,2020
3. Analyzing federated learning through an adversarial lens;Bhagoji,2019
4. Poisoning attacks against support vector machines;Biggio,2012
5. Strong data augmentation sanitizes poisoning and backdoor attacks without an accuracy tradeoff;Borgnia,2021