The study investigates the susceptibility of few-shot learning (FSL) to backdoor attacks. Initial evaluation showed that existing backdoor attack methods were ineffective in FSL scenarios due to overfitting and easy…
Continue readingThe article focuses on the rise of Machine Learning as a Service (MLaaS) and its potential vulnerability to backdoor attacks due to advancements in Artificial Intelligence (AI). The paper introduces…
Continue readingThe article, ‘Efficient Trigger Word Insertion’, focuses on the threats posed by backdoor attacks on deep neural network models in the field of Natural Language Processing (NLP). The authors propose…
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