Nicolas Christin
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This paper provides a large-scale characterization of Telegram bots, revealing that while they serve useful functions like crowdsourcing, they are also extensively used for malicious activities such as financial scams and illicit services.
This paper identifies and categorizes digital security and privacy questions asked to large language models using a dataset of user-LLM conversations, and evaluates the response quality and consistency of commercial and open-source models.
Papers
Security and Privacy Prompts in the Wild: What Users Ask LLMs and How LLMs Respond
Hobin Kim, Xiaoyuan Wu, Omer Akgul, Lujo Bauer +1 more
This paper identifies and categorizes digital security and privacy questions asked to large language models using a dataset of user-LLM conversations, and evaluates the response quality and consistenc…