ReGVD

Author:

Nguyen Van-Anh1,Nguyen Dai Quoc2,Nguyen Van3,Le Trung3,Tran Quan Hung4,Phung Dinh3

Affiliation:

1. VNU - University of Science, Vietnam

2. Oracle Labs, Australia

3. Monash University, Australia

4. Adobe Research

Publisher

ACM

Reference29 articles.

1. Xavier Bresson and Thomas Laurent . 2017. Residual gated graph convnets. arXiv preprint arXiv:1711.07553 ( 2017 ). Xavier Bresson and Thomas Laurent. 2017. Residual gated graph convnets. arXiv preprint arXiv:1711.07553 (2017).

2. Kyunghyun Cho Bart van Merriënboer Caglar Gulcehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk and Yoshua Bengio. 2014. Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. In EMNLP. 1724--1734. Kyunghyun Cho Bart van Merriënboer Caglar Gulcehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk and Yoshua Bengio. 2014. Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. In EMNLP. 1724--1734.

3. Kevin Clark , Minh-Thang Luong , Quoc V Le , and Christopher D Manning . 2020 . Electra: Pre-training text encoders as discriminators rather than generators. arXiv preprint arXiv:2003.10555 (2020). Kevin Clark, Minh-Thang Luong, Quoc V Le, and Christopher D Manning. 2020. Electra: Pre-training text encoders as discriminators rather than generators. arXiv preprint arXiv:2003.10555 (2020).

4. Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2018 . Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018). Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018).

5. CodeBERT: A Pre-Trained Model for Programming and Natural Languages

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1. SCL-CVD: Supervised contrastive learning for code vulnerability detection via GraphCodeBERT;Computers & Security;2024-10

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3. DFEPT: Data Flow Embedding for Enhancing Pre-Trained Model Based Vulnerability Detection;Proceedings of the 15th Asia-Pacific Symposium on Internetware;2024-07-24

4. Vul-Mixer: Efficient and Effective Machine Learning–Assisted Software Vulnerability Detection;Electronics;2024-06-28

5. Enhancing Code Vulnerability Detection via Vulnerability-Preserving Data Augmentation;Proceedings of the 25th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems;2024-06-20

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