Adversarial Attack and Robustness Improvement on Code Summarization-Reference-Cited by-同舟云学术

Adversarial Attack and Robustness Improvement on Code Summarization

Published:2024-06-18 Issue: Volume: Page:17-27
ISSN:
Container-title:Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering
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Author:

Ding Xi¹^ORCID,Huang Yuan²^ORCID,Chen Xiangping³^ORCID,Bian Jing¹^ORCID

Affiliation:

1. School of Computer Science and Engineering, Sun Yat-Sen University, China

2. School of Software Engineering, Sun Yat-Sen University, China

3. School of Journalism and Communication, Sun Yat-Sen University, China

Funder

Natural Science Foundation of Guangdong Province

the National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3661167.3661173

Reference48 articles.

1. A Transformer-based Approach for Source Code Summarization

2. Miltiadis Allamanis, Hao Peng, and Charles Sutton. 2016. A Convolutional Attention Network for Extreme Summarization of Source Code. In Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016(JMLR Workshop and Conference Proceedings, Vol. 48), Maria-Florina Balcan and Kilian Q. Weinberger (Eds.). JMLR.org, 2091–2100.

3. Generating Natural Language Adversarial Examples

4. Satanjeev Banerjee and Alon Lavie. 2005. METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments. In Proceedings of the Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and/or Summarization@ACL 2005, Ann Arbor, Michigan, USA, June 29, 2005, Jade Goldstein, Alon Lavie, Chin-Yew Lin, and Clare R. Voss (Eds.). Association for Computational Linguistics, 65–72.

5. Yonatan Belinkov and Yonatan Bisk. 2018. Synthetic and Natural Noise Both Break Neural Machine Translation. In 6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings. OpenReview.net.