Empirical analysis of 444 iOS apps using dynamic traffic interception found 282 leaking LLM API keys across ten providers, with only 28% remediation after three months.
InPro- ceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering(San Francisco, CA, USA) (ESEC/FSE 2023)
3 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
AI coding agent adoption in OSS projects raises code complexity modestly but produces no causal reduction in newcomer participation per DiD estimates on matched GitHub projects.
HYDRA is a hybrid model that uses heuristics plus deep embeddings and a VAE to predict latent zero-day vulnerabilities in patched functions from Chrome, Android, and ImageMagick.
citing papers explorer
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Mind your key: An Empirical Study of LLM API Credential Leakage in iOS Apps
Empirical analysis of 444 iOS apps using dynamic traffic interception found 282 leaking LLM API keys across ten providers, with only 28% remediation after three months.
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Decoupling Code Complexity from Newcomer Participation: A Causal Study of AI Coding Agent Adoption in OSS
AI coding agent adoption in OSS projects raises code complexity modestly but produces no causal reduction in newcomer participation per DiD estimates on matched GitHub projects.