On the (In)Security of LLM App Stores · Around

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R. Slavin, X. Wang, M. B. Hosseini, J. Hester, R. Krishnan, J. Bhatia, T. D. Breaux, and J. Niu, “Toward a framework for detecting privacy policy violations in android application code,” in Proceedings of the 38th International conference on software engineering , 2016, pp. 25–36
2016
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“Cuckoo sandbox,” https://github.com/cuckoosandbox/cuckoo , 2018
2018
Earlier work this paper cites.
X. Wang, X. Qin, M. B. Hosseini, R. Slavin, T. D. Breaux, and J. Niu, “Guileak: Tracing privacy policy claims on user input data for android applications,” in Proceedings of the 40th International Conference on Software Engineering , 2018, pp. 37–47
2018
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N. Patch, “Our list of dirty, naughty, obscene, and otherwise bad words,” https://github.com/LDNOOBW/List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words , 2020
2020
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N. Carlini, F. Tramer, E. Wallace, M. Jagielski, A. Herbert-Voss, K. Lee, A. Roberts, T. Brown, D. Song, U. Erlingsson et al. , “Extracting training data from large language models,” in 30th USENIX Security Symposium (USENIX Security 21) , 2021, pp. 2633–2650
2021
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D. Grad and O. Lexicon, “Orthrus toxic dictionary implementation,” https://github.com/Orthrus-Lexicon/Toxic , 2021
2021
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A. Chamoli, “text-toxicity-detector,” https://github.com/AbhishekChamoliDeveloper/text-toxicity-detector/tree/main/package , 2022
2022
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E. Perez, S. Huang, F. Song, T. Cai, R. Ring, J. Aslanides, A. Glaese, N. McAleese, and G. Irving, “Red teaming language models with language models,” arXiv preprint arXiv:2202.03286 , 2022
Original
2022
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pribot.org, “Polisis,” https://chromewebstore.google.com/detail/polisis/bkddolgokpghlbhhkflbbhhjghjdojck , 2022
2022
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P. Chao, A. Robey, E. Dobriban, H. Hassani, G. J. Pappas, and E. Wong, “Jailbreaking black box large language models in twenty queries,” arXiv preprint arXiv:2310.08419 , 2023
Original
2023
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Google, “Gemini,” https://gemini.google.com/ , 2023
2023
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U. Iqbal, T. Kohno, and F. Roesner, “Llm platform security: Applying a systematic evaluation framework to openai’s chatgpt plugins,” arXiv preprint arXiv:2309.10254 , 2023
Original
2023
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Z. Lin, Z. Wang, Y. Tong, Y. Wang, Y. Guo, Y. Wang, and J. Shang, “Toxicchat: Unveiling hidden challenges of toxicity detection in real-world user-ai conversation,” arXiv preprint arXiv:2310.17389 , 2023
Original
2023
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Microsoft, “Copilot,” https://copilot.microsoft.com/ , 2023
2023
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Y. Pan, L. Pan, W. Chen, P. Nakov, M.-Y. Kan, and W. Y. Wang, “On the risk of misinformation pollution with large language models,” arXiv preprint arXiv:2305.13661 , 2023
Original
2023
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Seadapp, “Free gpts scraper,” https://apify.com/seadapp/free-gpts-scraper , 2023
2023
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G. Tao, S. Cheng, Z. Zhang, J. Zhu, G. Shen, and X. Zhang, “Opening a pandora’s box: Things you should know in the era of custom gpts,” arXiv preprint arXiv:2401.00905 , 2023
Original
2023
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H. Zhang, Z. Guo, H. Zhu, B. Cao, L. Lin, J. Jia, J. Chen, and D. Wu, “On the safety of open-sourced large language models: Does alignment really prevent them from being misused?” arXiv preprint arXiv:2310.01581 , 2023
Original
2023
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“Automate your spam and abuse detection,” https://www.oopspam.com/ , 2024
2024
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“Ccslint: Automated linting of cascading stylesheets,” https://github.com/CSSLint/csslint , 2024
2024
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“Cppcheck: A tool for static c/c++ code analysis,” https://cppcheck.sourceforge.io/ , 2024
2024
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“cpplint - static code checker for c++,” https://github.com/cpplint/cpplint , 2024
2024
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“Find and fix problems in your javascript code,” https://eslint.org/ , 2024
2024
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“Htmlhint: Static code analysis tool you need for your html,” https://htmlhint.com/ , 2024
2024
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“Markup validation service,” https://validator.w3.org/ , 2024
2024
Earlier work this paper cites.
“A project of the annenberg public policy center,” https://www.factcheck.org/ , 2024
2024
Earlier work this paper cites.
“pyflakes 3.2.0,” https://pypi.org/project/pyflakes/ , 2024
2024
Earlier work this paper cites.

Similar

“pylint 3.2.5,” https://pypi.org/project/pylint/ , 2024
2024
Cited alongside, same era.
“Toxic conversations,” https://huggingface.co/datasets/SetFit/toxic_conversations , 2024
2024
Cited alongside, same era.
“Virustotal,” https://www.virustotal.com/gui/home , 2024
2024
Cited alongside, same era.
“The world’s most popular network protocol analyzer,” https://www.wireshark.org// , 2024
2024
Cited alongside, same era.
S. Antebi, N. Azulay, E. Habler, B. Ganon, A. Shabtai, and Y. Elovici, “Gpt in sheep’s clothing: The risk of customized gpts,” arXiv preprint arXiv:2401.09075 , 2024
Original
2024
Cited alongside, same era.
D. Barman, Z. Guo, and O. Conlan, “The dark side of language models: Exploring the potential of llms in multimedia disinformation generation and dissemination,” Machine Learning with Applications , p. 100545, 2024

Then

——, “Privacy policies,” https://openai.com/policies/privacy-policy , 2024
2024
Closest in time.
——, “Terms of use,” https://openai.com/policies/terms-of-use/ , 2024
2024
Closest in time.
——, “Usage policies,” https://openai.com/policies/usage-policies , 2024
2024
Closest in time.
PRNewswire, “Flowgpt, the open ecosystem ai platform, raises $10m,” https://www.prnewswire.com/news-releases/flowgpt-the-open-ecosystem-ai-platform-raises-10m-302070574.html , 2024
2024
Closest in time.
Quora, “Poe,” https://poe.com , 2024
2024
Closest in time.
——, “Poe terms of service,” https://poe.com/privacy , 2024
2024
Closest in time.

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