Results 321 to 330 of about 626,798 (385)

ShieldFL: Mitigating Model Poisoning Attacks in Privacy-Preserving Federated Learning

IEEE Transactions on Information Forensics and Security, 2022
Privacy-Preserving Federated Learning (PPFL) is an emerging secure distributed learning paradigm that aggregates user-trained local gradients into a federated model through a cryptographic protocol.
Zhuo Ma, Jianfeng Ma, Yinbin Miao, Yingjiu Li, R. Deng   +4 more
semanticscholar   +1 more source

Privacy-Enhanced Federated Learning Against Poisoning Adversaries

IEEE Transactions on Information Forensics and Security, 2021
Federated learning (FL), as a distributed machine learning setting, has received considerable attention in recent years. To alleviate privacy concerns, FL essentially promises that multiple parties jointly train the model by exchanging gradients rather ...
Xiaoyuan Liu, Hongwei Li, Guowen Xu, Zongqi Chen, Xiaoming Huang, Rongxing Lu   +5 more
semanticscholar   +1 more source

Data Poisoning Attacks Against Federated Learning Systems

European Symposium on Research in Computer Security, 2020
Federated learning (FL) is an emerging paradigm for distributed training of large-scale deep neural networks in which participants’ data remains on their own devices with only model updates being shared with a central server.
Vale Tolpegin, Stacey Truex, M. E. Gursoy, Ling Liu   +3 more
semanticscholar   +1 more source

Carbon Monoxide Poisoning: Pathogenesis, Management, and Future Directions of Therapy

American Journal of Respiratory and Critical Care Medicine, 2017
Jason J Rose, Ling Wang, Qinzi Xu
exaly   +2 more sources

PoisonGAN: Generative Poisoning Attacks Against Federated Learning in Edge Computing Systems

IEEE Internet of Things Journal, 2021
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 ...
Jiale Zhang, Bing Chen, Xiang Cheng, H. Binh, Shui Yu   +4 more
semanticscholar   +1 more source

Poisonings

Pediatric Clinics of North America, 1985
While the three demonstration programs failed to document a major impact on prevention of poisoning, they do provide a rationale for selected strategies that may have wide application. Future efforts and successes in poison prevention will involve both the primary care physician and the poison center, using primary and passive interventions.
P, Steele, D A, Spyker
openaire   +2 more sources

Poisoning

Hospital Medicine, 2004
Paediatric poisoning is common; most occurrences are accidental and harmless. The accurate assessment of lethality, appropriate supportive care and avoidance of unnecessary and dangerous decontamination techniques prevent harmful intervention.
Premala, Nadarajah, Mark J, Hayden
openaire   +2 more sources

Mechanism of Ce-Modified Birnessite-MnO2 in Promoting SO2 Poisoning Resistance for Low-Temperature NH3-SCR

, 2021
A desirable catalyst for efficiently controlling NOx emissions often demands excellent SO2 poisoning resistance.
Xuejin Fang, Yongjun Liu, Yan Cheng, Wanglai Cen   +3 more
semanticscholar   +1 more source

A New Backdoor Attack in CNNS by Training Set Corruption Without Label Poisoning

International Conference on Information Photonics, 2019
Backdoor attacks against CNNs represent a new threat against deep learning systems, due to the possibility of corrupting the training set so to induce an incorrect behaviour at test time. To avoid that the trainer recognises the presence of the corrupted
M. Barni, Kassem Kallas, B. Tondi
semanticscholar   +1 more source

Poisoning

Critical Care Clinics, 1988
Knowledge of the toxicologic nature of ingested substances provides a proper framework for general and specific therapies best suited to meet the needs of the patient. Monitoring and direct observation provided in the PICU can aid proper therapy for many intoxicants.
C M, Steinhart, A L, Pearson-Shaver
openaire   +2 more sources