Hugging Peers

Rubinstein, Benjamin

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8 papers 2021–2024

As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation

Wang, Jun, Xu, Chang, Guzm\'an, Francisco, El-Kishky, Ahmed, Rubinstein, Benjamin, Cohn, Trevor
2021-01 Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoning

Wang, Jun, Xu, Chang, Guzm\'an, Francisco, El-Kishky, Ahmed, Tang, Yuqing, Rubinstein, Benjamin
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Cohn, Trevor
2021-01 Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

Mitigating Data Poisoning in Text Classification with Differential Privacy

Xu, Chang, Wang, Jun, Guzm\'an, Francisco, Rubinstein, Benjamin, Cohn, Trevor
2021-01 Findings of the Association for Computational Linguistics: EMNLP 2021

Measuring and Mitigating Name Biases in Neural Machine Translation

Wang, Jun, Rubinstein, Benjamin, Cohn, Trevor
2022-01 Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Foiling Training-Time Attacks on Neural Machine Translation Systems

Wang, Jun, He, Xuanli, Rubinstein, Benjamin, Cohn, Trevor
2022-01 Findings of the Association for Computational Linguistics: EMNLP 2022

Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation

He, Xuanli, Xu, Qiongkai, Wang, Jun, Rubinstein, Benjamin, Cohn, Trevor
2023-01 Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

IMBERT: Making BERT Immune to Insertion-based Backdoor Attacks

He, Xuanli, Wang, Jun, Rubinstein, Benjamin, Cohn, Trevor
2023-01 Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing (TrustNLP 2023)

Backdoor Attacks on Multilingual Machine Translation

Wang, Jun, Xu, Qiongkai, He, Xuanli, Rubinstein, Benjamin, Cohn, Trevor
2024-01 Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)