Results 21 to 30 of about 626,798 (385)
FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information [PDF]
IEEE Symposium on Security and Privacy, 2022 Federated learning is vulnerable to poisoning attacks in which malicious clients poison the global model via sending malicious model updates to the server.
Xiaoyu Cao +3 more
semanticscholar +1 more source
Неотложная медицинская помощь, 2023 The review is devoted to the role of psychological factors in the recovery of patients after spinal surgery (with spinal canal stenosis). The high epidemiological and economic significance of the back pain syndrome was noted.
A. Yu. Suroyegina +3 more
doaj +1 more source
Poisoning Attacks in Federated Learning: A Survey
IEEE Access, 2023 Federated learning faces many security and privacy issues. Among them, poisoning attacks can significantly impact global models, and malicious attackers can prevent global models from converging or even manipulating the prediction results of global ...
Geming Xia +3 more
semanticscholar +1 more source
Advanced Science, 2023 Cadmium (Cd) is a high‐risk pathogenic toxin for hepatic diseases. Excessive mitophagy is a hallmark in Cd‐induced hepatotoxicity. However, the underlying mechanism remains obscure.
Cong Liu +9 more
doaj +1 more source
Effects of commercial beverages on the neurobehavioral motility of Caenorhabditis elegans [PDF]
PeerJ, 2022 To study the effects of different types of commercially available drinks/beverages on neurobehavior using the model organism C. elegans, and critically review their potential health hazards.
Wenjing Zhang +10 more
doaj +2 more sources
Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning
AAAI Conference on Artificial Intelligence, 2023 Are Federated Learning (FL) systems free from backdoor poisoning with the arsenal of various defense strategies deployed? This is an intriguing problem with significant practical implications regarding the utility of FL services.
Xiaoting Lyu +6 more
semanticscholar +1 more source
FLCert: Provably Secure Federated Learning Against Poisoning Attacks [PDF]
IEEE Transactions on Information Forensics and Security, 2022 Due to its distributed nature, federated learning is vulnerable to poisoning attacks, in which malicious clients poison the training process via manipulating their local training data and/or local model updates sent to the cloud server, such that the ...
Xiaoyu Cao +3 more
semanticscholar +1 more source
Global, regional, and national mortality due to unintentional carbon monoxide poisoning, 2000-2021: results from the Global Burden of Disease Study 2021 [PDF]
, 2023 BACKGROUND: Unintentional carbon monoxide poisoning is a largely preventable cause of death that has received insufficient attention. We aimed to conduct a comprehensive global analysis of the demographic, temporal, and geographical patterns of fatal ...
GBD 2021 Carbon Monoxide Poisoning Collaborators, +1 more
core +1 more source
De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks [PDF]
IEEE Transactions on Information Forensics and Security, 2021 Machine learning techniques have been widely applied to various applications. However, they are potentially vulnerable to data poisoning attacks, where sophisticated attackers can disrupt the learning procedure by injecting a fraction of malicious ...
Jian Chen +4 more
semanticscholar +1 more source