Pengwei Zhan

Orcid: 0000-0003-3724-4431

According to our database1, Pengwei Zhan authored at least 11 papers between 2021 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Unsupervised Clustering with Contrastive Learning for Rumor Tracking on Social Media.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Improving the Quality of Textual Adversarial Examples with Dynamic N-gram Based Attack.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

Similarizing the Influence of Words with Contrastive Learning to Defend Word-level Adversarial Text Attack.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Contrastive Learning with Adversarial Examples for Alleviating Pathology of Language Model.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Crafting Textual Adversarial Examples through Second-Order Enhanced Word Saliency.
Proceedings of the International Joint Conference on Neural Networks, 2022

SP Attack: Single-Perspective Attack for Generating Adversarial Omnidirectional Images.
Proceedings of the IEEE International Conference on Acoustics, 2022

SITD: Insider Threat Detection Using Siamese Architecture on Imbalanced Data.
Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

PARSE: An Efficient Search Method for Black-box Adversarial Text Attacks.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Mitigating the Inconsistency Between Word Saliency and Model Confidence with Pathological Contrastive Training.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Website fingerprinting on early QUIC traffic.
Comput. Networks, 2021

Multimodal Fusion with Co-Attention Networks for Fake News Detection.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021


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