2023
EMNLP
EMNLP 2023
No offence, Bert - I insult only humans! Multilingual sentence-level attack on toxicity detection networks
Abstract
AbstractWe introduce a simple yet efficient sentence-level attack on black-box toxicity detector models. By adding several positive words or sentences to the end of a hateful message, we are able to change the prediction of a neural network and pass the toxicity detection system check. This approach is shown to be working on seven languages from three different language families. We also describe the defence mechanism against the aforementioned attack and discuss its limitations.
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Interdisciplinary Bridge
— Artificial Intelligence and Machine Learning and Natural Language Processing and Security & Privacy
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Keyword Pioneer
— sentence-level attack
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio