Aug 8, 2023 · Backdoor attacks aim to inject backdoors to victim machine learning models during training time, such that the backdoored model maintains ...
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Backdoor attacks aim to inject backdoors to victim machine learning models during training time, such that the backdoored model maintains the prediction ...
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Aug 8, 2023 · In this article, from a malicious model provider perspective, we propose a black-box backdoor attack, named B3, where neither the rare victim ...
This paper proposes the first class of dynamic backdooring techniques against deep neural networks (DNN), namely Random Backdoor, Backdoor Generating ...
May 4, 2022 · A number of black box attacks involve model extraction (see the next section) to create a local model, sometimes known as a substitute or ...
Missing: B3: Backdoor
Backdoor attacks inject poisoned samples into the training data, resulting in the misclassification of the poisoned input during a model's deployment.
Nov 16, 2021 · Black-box backdoor attack on deep learning models through neural payload injection,” in 43rd IEEE/ACM International Conference on Software ...
B3: Backdoor Attacks against Black-box Machine Learning Models · Xueluan Gong ... Secur. 2023. TLDR. A black-box backdoor attack, named B3, is proposed, where ...
B3: Backdoor attacks against black-box machine learning models. ... against deep learning models. IEEE ... attacks on black-box models. Test model. Generate ...
Apr 8, 2024 · B3: Backdoor Attacks against Black-box Machine Learning Models · ACM Transactions on Privacy and Security (IF 2.3) Pub Date : 2023-08-08 ,DOI ...