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Sahar Sadrizadeh

2 accepted papers

2023

Targeted Adversarial Attacks Against Neural Machine Translation

Sahar Sadrizadeh, AmirHossein Dabiri Aghdam, Ljiljana Dolamic, Pascal Frossard
ICASSP 2023accepted

Neural Machine Translation (NMT) systems are used in various applications. However, it has been shown that they are vulnerable to very small perturbations of their inputs, known as adversarial attacks. In this paper, we propose a new targeted adversarial attack against NMT models. In particular, our…

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2022

Block-Sparse Adversarial Attack to Fool Transformer-Based Text Classifiers

Sahar Sadrizadeh, Ljiljana Dolamic, Pascal Frossard
ICASSP 2022accepted

Recently, it has been shown that, in spite of the significant performance of deep neural networks in different fields, those are vulnerable to adversarial examples. In this pa-per, we propose a gradient-based adversarial attack against transformer-based text classifiers. The adversarial perturbation…

Cited by 0Source ↗Scholar ↗