PoisonGAN: Generative Poisoning Attacks Against Federated Learning in Edge Computing Systems
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2020.3023126
Abstract: Edge computing is a key-enabling technology that meets continuously increasing requirements for the intelligent Internet-of-Things (IoT) applications. To cope with the increasing privacy leakages of machine learning while benefiting from unbalanced data distributions, federated learning… read more here.
Keywords: poisoning attack; federated learning; generative poisoning; attack ... See more keywords
ADFL: A Poisoning Attack Defense Framework for Horizontal Federated Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3156645
Abstract: Recently, federated learning has received widespread attention, which will promote the implementation of artificial intelligence technology in various fields. Privacy-preserving technologies are applied to users’ local models to protect users’ privacy. Such operations make the… read more here.
Keywords: horizontal federated; attack defense; federated learning; poisoning attack ... See more keywords
LOKI: A Practical Data Poisoning Attack Framework Against Next Item Recommendations
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2022.3181270
Abstract: Due to the openness of the online platform, recommendation systems are vulnerable to data poisoning attacks, where malicious samples are injected into the training set of the recommendation system to manipulate its recommendation results. Existing… read more here.
Keywords: system; recommendation; recommendation systems; poisoning attack ... See more keywords