Jun Wang

According to our database, Jun Wang authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SEEP: Training Dynamics Grounds Latent Representation Search for Mitigating Backdoor Poisoning Attacks.

Xuanli He, Qiongkai Xu, Jun Wang, Benjamin I. P. Rubinstein, Trevor Cohn

Trans. Assoc. Comput. Linguistics, 2024

Don't Throw Away Data: Better Sequence Knowledge Distillation.

Jun Wang, Eleftheria Briakou, Hamid Dadkhahi, Rishabh Agarwal, Colin Cherry, Trevor Cohn

CoRR, 2024

Backdoor Attack on Multilingual Machine Translation.

Jun Wang, Qiongkai Xu, Xuanli He, Benjamin I. P. Rubinstein, Trevor Cohn

CoRR, 2024

Backdoor Attacks on Multilingual Machine Translation.

Jun Wang, Qiongkai Xu, Xuanli He, Benjamin I. P. Rubinstein, Trevor Cohn

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

IMBERT: Making BERT Immune to Insertion-based Backdoor Attacks.

Xuanli He, Jun Wang, Benjamin I. P. Rubinstein, Trevor Cohn

CoRR, 2023

Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation.

Xuanli He, Qiongkai Xu, Jun Wang, Benjamin I. P. Rubinstein, Trevor Cohn

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Detecting Backdoors in Deep Text Classifiers.

You Guo, Jun Wang, Trevor Cohn

CoRR, 2022

Foiling Training-Time Attacks on Neural Machine Translation Systems.

Jun Wang, Xuanli He, Benjamin I. P. Rubinstein, Trevor Cohn

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Measuring and Mitigating Name Biases in Neural Machine Translation.

Jun Wang, Benjamin I. P. Rubinstein, Trevor Cohn

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

A Targeted Attack on Black-Box Neural Machine Translation with Parallel Data Poisoning.

Chang Xu, Jun Wang, Yuqing Tang, Francisco Guzmán, Benjamin I. P. Rubinstein, Trevor Cohn

Proceedings of the WWW '21: The Web Conference 2021, 2021

Mitigating Data Poisoning in Text Classification with Differential Privacy.

Chang Xu, Jun Wang, Francisco Guzmán, Benjamin I. P. Rubinstein, Trevor Cohn

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

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

Jun Wang, Chang Xu, Francisco Guzmán, Ahmed El-Kishky, Yuqing Tang, Benjamin I. P. Rubinstein, Trevor Cohn

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

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

Jun Wang, Chang Xu, Francisco Guzmán, Ahmed El-Kishky, Benjamin I. P. Rubinstein, Trevor Cohn

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Targeted Poisoning Attacks on Black-Box Neural Machine Translation.

Chang Xu, Jun Wang, Yuqing Tang, Francisco Guzmán, Benjamin I. P. Rubinstein, Trevor Cohn

CoRR, 2020