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A Comprehensive Survey on Poisoning Attacks and Countermeasures in Machine Learning
ACM Computing Surveys, 2022The prosperity of machine learning has been accompanied by increasing attacks on the training process. Among them, poisoning attacks have become an emerging threat during model training. Poisoning attacks have profound impacts on the target models, e.g.,
Zhiyi Tian, Lei Cui, Jie Liang, Shui Yu
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ShieldFL: Mitigating Model Poisoning Attacks in Privacy-Preserving Federated Learning
IEEE Transactions on Information Forensics and Security, 2022Privacy-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 +4 more
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Privacy-Enhanced Federated Learning Against Poisoning Adversaries
IEEE Transactions on Information Forensics and Security, 2021Federated 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 +5 more
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Data Poisoning Attacks Against Federated Learning Systems
European Symposium on Research in Computer Security, 2020Federated 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 +3 more
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PoisonGAN: Generative Poisoning Attacks Against Federated Learning in Edge Computing Systems
IEEE Internet of Things Journal, 2021Edge 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 +4 more
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The Indian Journal of Pediatrics, 1991
In summary, environmental emergencies account for a major portion of mortality and morbidity in children. Many of these injuries are preventable and hence programmes aimed at public education and preventative measures should yield gratifying results. When these measures have failed, prompt assessment and resuscitation offers the child the best chance ...
Niranjan Kissoon, Dharmapuri Vidyasagar
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In summary, environmental emergencies account for a major portion of mortality and morbidity in children. Many of these injuries are preventable and hence programmes aimed at public education and preventative measures should yield gratifying results. When these measures have failed, prompt assessment and resuscitation offers the child the best chance ...
Niranjan Kissoon, Dharmapuri Vidyasagar
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, 2021
A desirable catalyst for efficiently controlling NOx emissions often demands excellent SO2 poisoning resistance.
Xuejin Fang +3 more
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A desirable catalyst for efficiently controlling NOx emissions often demands excellent SO2 poisoning resistance.
Xuejin Fang +3 more
semanticscholar +1 more source
A New Backdoor Attack in CNNS by Training Set Corruption Without Label Poisoning
International Conference on Information Photonics, 2019Backdoor 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
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