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Erschienen in:
2023 | OriginalPaper | Buchkapitel
11. Security and Privacy Concerns in ChatGPT
verfasst von : Ken Huang, Fan Zhang, Yale Li, Sean Wright, Vasan Kidambi, Vishwas Manral
Erschienen in: Beyond AI
Verlag: Springer Nature Switzerland
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Abstract
This chapter provides a comprehensive analysis of the security and privacy concerns in AI models, specifically ChatGPT. It explores potential security threats such as cyberattacks, deep fake creation, model poisoning, API, and prompt injection attacks. Privacy issues, including data leakage, misuse, and unauthorized access, are investigated. User perspectives, including public trust issues, privacy demands, and the need for balancing security with innovation, are also assessed. The chapter concludes by proposing mitigation strategies for these concerns. These involve safeguards against security risks, mitigation measures for deepfakes and model poison attacks, and steps to counter API and prompt injection attacks. Furthermore, it suggests techniques for addressing privacy concerns and strategies to prevent data leakage and unauthorized access.