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Reusing off-the-shelf code snippets from online repositories is a common practice, which significantly enhances the productivity of software developers.
Codesearchnet challenge: Evaluating the state of semantic code search
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Measuring nominal scale agreement among many raters
Joseph L Fleiss. 1971 · 1971
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Indexing by latent semantic analysis
Scott C. Deerwester, Susan T. Dumais, Thomas K. Landauer, George W. Furnas, and Richard A. Harshman. 1990 · 1990
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Source code exploration with google
Denys Poshyvanyk, Maksym Petrenko, Andrian Marcus, Xinrong Xie, and Dapeng Liu. 2006 · 2006
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Backdoors in neural models of source code
Goutham Ramakrishnan and Aws Albarghouthi. 2020 · 2006
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Example-centric programming: integrating web search into the development environment
Joel Brandt, Mira Dontcheva, Marcos Weskamp, and Scott R. Klemmer. 2010 · 2010
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Portfolio: finding relevant functions and their usage
Collin McMillan, Mark Grechanik, Denys Poshyvanyk, Qing Xie, and Chen Fu. 2011 · 2011
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Spotting working code examples
Iman Keivanloo, Juergen Rilling, and Ying Zou. 2014 · 2014
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Thesaurus-based automatic query expansion for interface-driven code search
Otávio Augusto Lazzarini Lemos, Adriano Carvalho de Paula, Felipe Capodifoglio Zanichelli, and Cristina Videira Lopes. 2014 · 2014
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Active code search: incorporating user feedback to improve code search relevance
Shaowei Wang, David Lo, and Lingxiao Jiang. 2014 · 2014
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
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Query expansion based on crowd knowledge for code search
Liming Nie, He Jiang, Zhilei Ren, Zeyi Sun, and Xiaochen Li. 2016 · 2016
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Badnets: Identifying vulnerabilities in the machine learning model supply chain
Tianyu Gu, Brendan Dolan-Gavitt, and Siddharth Garg. 2017 · 2017
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code2seq: Generating sequences from structured representations of code
Uri Alon, Shaked Brody, Omer Levy, and Eran Yahav. 2018 · 2018
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Detecting backdoor attacks on deep neural networks by activation clustering
Bryant Chen, Wilka Carvalho, Nathalie Baracaldo, Heiko Ludwig, Benjamin Edwards, Taesung Lee, Ian M. Molloy, and Biplav Srivastava. 2018 · 2018
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Deep code search
Xiaodong Gu, Hongyu Zhang, and Sunghun Kim. 2018 · 2018
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Deep code comment generation
Xing Hu, Ge Li, Xin Xia, David Lo, and Zhi Jin. 2018 · 2018
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Facoy: a code-to-code search engine
Kisub Kim, Dongsun Kim, Tegawendé F. Bissyandé, Eunjong Choi, Li Li, Jacques Klein, and Yves Le Traon. 2018 · 2018
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Trojaning attack on neural networks
Yingqi Liu, Shiqing Ma, Yousra Aafer, Wen-Chuan Lee, Juan Zhai, Weihang Wang, and Xiangyu Zhang. 2018 · 2018
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Spectral signatures in backdoor attacks
Brandon Tran, Jerry Li, and Aleksander Madry. 2018 · 2018
Blind backdoors in deep learning models
Eugene Bagdasaryan and Vitaly Shmatikov. 2021 · 2021
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Badnl: Backdoor attacks against NLP models with semantic-preserving improvements
Xiaoyi Chen, Ahmed Salem, Dingfan Chen, Michael Backes, Shiqing Ma, Qingni Shen, Zhonghai Wu, and Yang Zhang. 2021 · 2021
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Graphcodebert: Pre-training code representations with data flow
Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, and Ming Zhou. 2021 · 2021
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Turn the combination lock: Learnable textual backdoor attacks via word substitution
Fanchao Qi, Yuan Yao, Sophia Xu, Zhiyuan Liu, and Maosong Sun. 2021 · 2021
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You autocomplete me: Poisoning vulnerabilities in neural code completion
Roei Schuster, Congzheng Song, Eran Tromer, and Vitaly Shmatikov. 2021 · 2021
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Cited alongside, same era.
Code2vec: Learning distributed representations of code
Uri Alon, Meital Zilberstein, Omer Levy, and Eran Yahav. 2019 · 2019
Cited alongside, same era.
TECCD: A tree embedding approach for code clone detection
Yi Gao, Zan Wang, Shuang Liu, Lin Yang, Wei Sang, and Yuanfang Cai. 2019 · 2019
Cited alongside, same era.
Multi-modal attention network learning for semantic source code retrieval
Yao Wan, Jingdong Shu, Yulei Sui, Guandong Xu, Zhou Zhao, Jian Wu, and Philip S. Yu. 2019 · 2019
Cited alongside, same era.
Functional code clone detection with syntax and semantics fusion learning
Chunrong Fang, Zixi Liu, Yangyang Shi, Jeff Huang, and Qingkai Shi. 2020 · 2020
Cited alongside, same era.
Codebert: A pre-trained model for programming and natural languages
Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, and Ming Zhou. 2020 · 2020
Cited alongside, same era.
Weight poisoning attacks on pretrained models
Keita Kurita, Paul Michel, and Graham Neubig. 2020 · 2020
Cited alongside, same era.
Explanation-guided backdoor poisoning attacks against malware classifiers
Giorgio Severi, Jim Meyer, Scott E. Coull, and Alina Oprea. 2021 · 2021
Later among the works it cites.
Codet5: Identifier-aware unified pre-trained encoder-decoder models for code understanding and generation
Yue Wang, Weishi Wang, Shafiq R. Joty, and Steven C. H. Hoi. 2021 · 2021
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Unixcoder: Unified cross-modal pre-training for code representation
Daya Guo, Shuai Lu, Nan Duan, Yanlin Wang, Ming Zhou, and Jian Yin. 2022 · 2022
Later among the works it cites.
Hidden trigger backdoor attack on NLP models via linguistic style manipulation
Xudong Pan, Mi Zhang, Beina Sheng, Jiaming Zhu, and Min Yang. 2022 · 2022
Later among the works it cites.
Model orthogonalization: Class distance hardening in neural networks for better security
Guanhong Tao, Yingqi Liu, Guangyu Shen, Qiuling Xu, Shengwei An, Zhuo Zhang, and Xiangyu Zhang. 2022 · 2022
Later among the works it cites.
You see what i want you to see: Poisoning vulnerabilities in neural code search
Yao Wan, Shijie Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Dezhong Yao, Hai Jin, and Lichao Sun. 2022 · 2022
Later among the works it cites.
BitBucket
Inc. Atlassian. 2010 · 2023
Closest in time.
Graphsearchnet: Enhancing gnns via capturing global dependencies for semantic code search
Shangqing Liu, Xiaofei Xie, Jingkai Siow, Lei Ma, Guozhu Meng, and Yang Liu. 2023 · 2023
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Piccolo: Exposing complex backdoors in NLP transformer models
Yingqi Liu, Guangyu Shen, Guanhong Tao, Shengwei An, Shiqing Ma, and Xiangyu Zhang. 2022 · 2042
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