Papers by Ki Yoon Yoo
Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling (2022.emnlp-main)
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| Challenge: | Recent advances in federated learning have demonstrated its promising capability to learn on decentralized datasets. |
| Approach: | They propose a technique that allows adversaries to poison the global model . they propose 'model poisoning' for backdoor attacks using word embeddings of NLP models . |
| Outcome: | The proposed technique improves the model poisoning performance in all experimental settings. |