Search Results for author:
Found 2 papers, 1 papers with code
Mitigating backdoor attacks in LSTM-based Text Classification Systems by Backdoor Keyword Identification
In this paper, through analyzing the changes in inner LSTM neurons, we proposed a defense method called Backdoor Keyword Identification (BKI) to mitigate backdoor attacks which the adversary performs against LSTM-based text classification by data poisoning.
A backdoor attack against LSTM-based text classification systems
When the backdoor is injected, the model will misclassify any text samples that contains a specific trigger sentence into the target category determined by the adversary.
Cryptography and Security
Cannot find the paper you are looking for? You can
Submit a new open access paper.
