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Security practitioners maintain vulnerability reports (e.g., GitHub Advisory) to help developers mitigate security risks.
Analysis of variance (ANOVA)
Lars St, Svante Wold, et al. 1989 · 1989
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Checking app behavior against app descriptions
Alessandra Gorla, Ilaria Tavecchia, Florian Gross, and Andreas Zeller. 2014 · 2014
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T test as a parametric statistic
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Reliable third-party library detection in Android and its security applications
Michael Backes, Sven Bugiel, and Erik Derr. 2016 · 2016
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Security threats classification in blockchains
Jamal Hayat Mosakheil. 2018 · 2018
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Fast lexically constrained decoding with dynamic beam allocation for neural machine translation
Matt Post and David Vilar. 2018 · 2018
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A no-regret generalization of hierarchical softmax to extreme multi-label classification
Marek Wydmuch, Kalina Jasinska, Mikhail Kuznetsov, Róbert Busa-Fekete, and Krzysztof Dembczynski. 2018 · 2018
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Detecting third-party libraries in Android applications with high precision and recall
Yuan Zhang, Jiarun Dai, Xiaohan Zhang, Sirong Huang, Zhemin Yang, Min Yang, and Hao Chen. 2018 · 2018
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Towards the detection of inconsistencies in public security vulnerability reports
Ying Dong, Wenbo Guo, Yueqi Chen, Xinyu Xing, Yuqing Zhang, and Gang Wang. 2019 · 2019
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Libid: reliable identification of obfuscated third-party android libraries
Jiexin Zhang, Alastair R Beresford, and Stephan A Kollmann. 2019 · 2019
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Automated identification of libraries from vulnerability data
Yang Chen, Andrew E Santosa, Asankhaya Sharma, and David Lo. 2020 · 2020
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Bonsai: diverse and shallow trees for extreme multi-label classification
Sujay Khandagale, Han Xiao, and Rohit Babbar. 2020 · 2020
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Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al. 2020 · 2020
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Generation-augmented retrieval for open-domain question answering
Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, and Weizhu Chen. 2020 · 2020
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An empirical study of usages, updates and risks of third-party libraries in java projects
Ying Wang, Bihuan Chen, Kaifeng Huang, Bowen Shi, Congying Xu, Xin Peng, Yijian Wu, and Yang Liu. 2020 · 2020
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Cleaning the nvd: Comprehensive quality assessment, improvements, and analyses
Afsah Anwar, Ahmed Abusnaina, Songqing Chen, Frank Li, and David Mohaisen. 2021 · 2021
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Emerging trends: A gentle introduction to fine-tuning
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Generalized zero-shot extreme multi-label learning
Nilesh Gupta, Sakina Bohra, Yashoteja Prabhu, Saurabh Purohit, and Manik Varma. 2021 · 2021
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OVANA: An approach to analyze and improve the information quality of vulnerability databases
Philipp Kuehn, Markus Bayer, Marc Wendelborn, and Christian Reuter. 2021 · 2021
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Retrieval-augmented generation for code summarization via hybrid GNN
Shangqing Liu, Yu Chen, Xiaofei Xie, Jingkai Siow, and Yang Liu. 2021 · 2021
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LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries
Wei Tang, Yanlin Wang, Hongyu Zhang, Shi Han, Ping Luo, and Dongmei Zhang. 2022 · 2022
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Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality
Wei-Lin Chiang, Zhuohan Li, Zi Lin, Ying Sheng, Zhanghao Wu, Hao Zhang, Lianmin Zheng, Siyuan Zhuang, Yonghao Zhuang, Joseph E Gonzalez, et al. 2023 · 2023
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Survey of hallucination in natural language generation
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Large language models are few-shot testers: Exploring llm-based general bug reproduction
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Guanqun Yang, Shay Dineen, Zhipeng Lin, and Xueqing Liu. 2021 · 2021
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Atvhunter: Reliable version detection of third-party libraries for vulnerability identification in android applications
Xian Zhan, Lingling Fan, Sen Chen, Feng We, Tianming Liu, Xiapu Luo, and Yang Liu. 2021 · 2021
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Recent advances in retrieval-augmented text generation
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A survey for in-context learning
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Automated identification of libraries from vulnerability data: Can we do better?
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HierarchyNet: Learning to Summarize Source Code with Heterogeneous Representations
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Chronos: Time-aware zero-shot identification of libraries from vulnerability reports
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Self-refine: Iterative refinement with self-feedback
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Look-ahead bias: What it means, how it works
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A comprehensive survey of hallucination mitigation techniques in large language models
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