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Undergraduate ypec-2024

UG22 – 5 ‘P’s (PromptSecurify: Personalized Privacy for Powerful Prompts)

 Generative AI has the potential to revolutionize various industries by generating text, data, or other forms of media based on user-provided prompts. However, ensuring data security and privacy remains a challenge, especially when dealing with sensitive personal information. This project explores the combination of prompt engineering and cryptography as a solution to optimize and personalize prompts while maintaining user privacy.       We propose an intermediary prompt engineering application, which can be embedded as a browser extension or a chatbot, that stores encrypted personal details and processes prompt engineering. This method allows users to grant our product temporary access to their data, and optimize the prompts for the underlying AI model, ensuring a personalized and secure experience. Using our product, individuals or businesses who are not proficient in prompt engineering, yet concerned about user privacy, can enjoy seamless, continuous, and personalized services employing generative AI.       However, challenges and limitations exist, including the potential information leak to generative AI in the stage of prompt engineering and final submission, as well as similarity to existing context options in terms of user experience. Future research should focus on prompt engineering at the local level or utilizing homomorphic encryption of data to further enhance data security and privacy.

67 replies on “UG22 – 5 ‘P’s (PromptSecurify: Personalized Privacy for Powerful Prompts)”

quite an comprehensive project with due deliberations on all aspects(opportunities and threats)

excellent work

people will be comfortable reacting to promts ,if they are ensured ,safety of their personal data. this is a good project

good attempt ..homomorphic encryption and local level prompt engg to be used for enhanced security, sounds interesting. this may also help to enhance performance specially if same types are encrypted and then decrypted..

Innovative security features will make adoption of Gen AI tools n programs much safer and better.

Looks doable, Users of Gen AI will always welcome an added layer of personal data security.

Looks good, especially the homomorphic encryption part. You’ll however have to worry about key management for the encryption schema, and the crypto libraries that you’d be providing to the users
All the very best for your endeavour

Interesting. Personal data security is important while using the Generative AI. Your project is in right direction. Best wishes.

Thoroughly enjoyed reading it,very interesting and conceptually very strong.The use of cryptography here is to the point and pragmatic.keep up the good work

Sounds very promising in the revolutionary field of AI providing limitless scope for development and application in all areas. Data compromise mitigation is the key to progress and instill user confidence.
All the very best.

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