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material ID: poisoneddata

Related Papers

Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis paper demonstrates a fatal vulnerability in natural language inference (NLI) and text classification systems. More concretely, we present a ‘backdoor poisoning’ attack on NLP models. Our poisoning attack utilizes …...

32109

Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractBackdoor attacks are a kind of emergent security threat in deep learning. After being injected with a backdoor, a deep neural model will behave normally on standard inputs but give …...

29960

Triggerless Backdoor Attack for NLP Tasks with Clean Labels

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractBackdoor attacks pose a new threat to NLP models. A standard strategy to construct poisoned data in backdoor attacks is to insert triggers (e.g., rare words) into selected sentences and …...

21195