FairGuard: A Fairness Attack and Defense Framework in Federated Learning
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2024.3520134
Abstract: Algorithmic fairness, emphasizing that machine learning algorithms should not discriminate against specific demographic groups, has recently gained increasing attention in the context of federated learning. Existing algorithmic fairness algorithms in federated learning primarily focus on… read more here.
Keywords: defense framework; algorithmic fairness; federated learning; fairness ... 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
Mitigating while accessing: A lightweight defense framework against link flooding attacks in SDN
Sign Up to like & getrecommendations! Published in 2024 at "China Communications"
DOI: 10.23919/jcc.fa.2024-0209.202411
Abstract: Link flooding attack (LFA) is a type of covert distributed denial of service (DDoS) attack. The attack mechanism of LFAs is to flood critical links within the network to cut off the target area from… read more here.
Keywords: defense; defense framework; attack; link flooding ... See more keywords