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LLMs show promise in transforming software development, with a growing interest in integrating them into more intelligent apps.
The protection of information in computer systems
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Radiatus: a shared-nothing server-side web architecture. In Proceedings of the Seventh ACM Symposium on Cloud Computing . 237–250
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KeyBERT: Minimal keyword extraction with BERT
Maarten Grootendorst. 2020 · 2020
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Towards Security Threats of Deep Learning Systems: A Survey
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Extracting training data from large language models. In 30th USENIX Security Symposium (USENIX Security 21) . 2633–2650
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Evaluating large language models trained on code
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The MITRE Corporation. 2021 · 2021
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DRMI: A Dataset Reduction Technology based on Mutual Information for Black-box Attacks. In Proceedings of the 30th USENIX Security Symposium (USENIX) (Vancouver, B.C., Canada)
Yingzhe He, Guozhu Meng, Kai Chen, Jinwen He, and Xingbo Hu. 2021 · 2021
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Linux Privilege Escalation
Gus Khawaja. 2021 · 2021
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Pycg: Practical call graph generation in python. In 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE) . IEEE, 1646–1657
Vitalis Salis, Thodoris Sotiropoulos, Panos Louridas, Diomidis Spinellis, and Dimitris Mitropoulos. 2021 · 2021
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URLExtract
Jan Lipovský. 2022 · 2022
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Asleep at the keyboard? assessing the security of github copilot’s code contributions. In 2022 IEEE Symposium on Security and Privacy (SP) . IEEE, 754–768
Hammond Pearce, Baleegh Ahmad, Benjamin Tan, Brendan Dolan-Gavitt, and Ramesh Karri. 2022 · 2022
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Ignore previous prompt: Attack techniques for language models
Fábio Perez and Ian Ribeiro. 2022 · 2022
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selenium
SeleniumHQ. 2022 · 2022
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CVE-2023-37273
2023 · 2023
Cited alongside, same era.
A survey on evaluation of large language models
Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Kaijie Zhu, Hao Chen, Linyi Yang, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, et al · 2023
Cited alongside, same era.
Liying Cheng, Xingxuan Li, and Lidong Bing. 2023 · 2023
Cited alongside, same era.
pandas-llm
Dashy Dash. 2023 · 2023
Cited alongside, same era.
Jailbreaker: Automated jailbreak across multiple large language model chatbots
Gelei Deng, Yi Liu, Yuekang Li, Kailong Wang, Ying Zhang, Zefeng Li, Haoyu Wang, Tianwei Zhang, and Yang Liu. 2023 · 2023
Cited alongside, same era.
Prompt Injection attack against LLM-integrated Applications
Yi Liu, Gelei Deng, Yuekang Li, Kailong Wang, Tianwei Zhang, Yepang Liu, Haoyu Wang, Yan Zheng, and Yang Liu. 2023a · 2023
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llama_index
LlamaIndex. 2023 · 2023
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langflow
Logspace. 2023 · 2023
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The clever trick that turns ChatGPT into its evil twin
Will Oremus. 2023 · 2023
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Rodrigo Pedro, Daniel Castro, Paulo Carreira, and Nuno Santos. 2023 · 2023
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Reddit Discussion: Calculating the Hash of a Word "on the fly"
Reddit. 2023 · 2023
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David Glukhov, Ilia Shumailov, Yarin Gal, Nicolas Papernot, and Vardan Papyan. 2023 · 2023
Cited alongside, same era.
Auto-GPT
Significant Gravitas. 2023 · 2023
Cited alongside, same era.
Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, and Mario Fritz. 2023 · 2023
Cited alongside, same era.
griptape
griptape ai. 2023 · 2023
Cited alongside, same era.
MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
Sirui Hong, Mingchen Zhuge, Jonathan Chen, Xiawu Zheng, Yuheng Cheng, Ceyao Zhang, Jinlin Wang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, Chenyu Ran, Lingfeng Xiao, Chenglin Wu, and Jürgen Schmidhuber. 2023 · 2023
Cited alongside, same era.
What is phishing?
IBM. 2023 · 2023
Cited alongside, same era.
Exploiting programmatic behavior of llms: Dual-use through standard security attacks
Daniel Kang, Xuechen Li, Ion Stoica, Carlos Guestrin, Matei Zaharia, and Tatsunori Hashimoto. 2023 · 2023
Cited alongside, same era.
Closest in time.
Xinyue Shen, Zeyuan Chen, Michael Backes, Yun Shen, and Yang Zhang. 2023 · 2023
Closest in time.
pandas-ai
Gabriele Venturi. 2023 · 2023
Closest in time.
Codet5+: Open code large language models for code understanding and generation
Yue Wang, Hung Le, Akhilesh Deepak Gotmare, Nghi DQ Bui, Junnan Li, and Steven CH Hoi. 2023 · 2023
Closest in time.
Jailbroken: How does llm safety training fail?
Alexander Wei, Nika Haghtalab, and Jacob Steinhardt. 2023a · 2023
Closest in time.
Automated program repair in the era of large pre-trained language models. In Proceedings of the 45th International Conference on Software Engineering (ICSE 2023). Association for Computing Machinery
Chunqiu Steven Xia, Yuxiang Wei, and Lingming Zhang. 2023 · 2023
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GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts
Jiahao Yu, Xingwei Lin, and Xinyu Xing. 2023 · 2023
Closest in time.
Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models
Shuai Zhao, Jinming Wen, Luu Anh Tuan, Junbo Zhao, and Jie Fu. 2023 · 2023
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Universal and transferable adversarial attacks on aligned language models
Andy Zou, Zifan Wang, J Zico Kolter, and Matt Fredrikson. 2023 · 2023
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LLMSmith
2024 · 2024
Closest in time.
AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks
Yifan Zeng, Yiran Wu, Xiao Zhang, Huazheng Wang, and Qingyun Wu. 2024 · 2024
Closest in time.