Cryptographic AI is an emerging field that combines the principles of cryptography and artificial intelligence to develop secure and privacy-preserving AI systems. It focuses on the development of AI algorithms and models that can operate on encrypted data without the need for decryption, thereby ensuring the confidentiality and integrity of sensitive information. This approach enables the processing and analysis of data while maintaining its privacy, which is particularly crucial in domains such as healthcare, finance, and government, where data security is of utmost importance. Cryptographic AI encompasses various techniques, including homomorphic encryption, secure multi-party computation, and differential privacy, which allow computations to be performed on encrypted data. These techniques enable AI models to learn from and make predictions on encrypted data, ensuring that the underlying information remains protected throughout the process. Additionally, cryptographic AI aims to address the challenges associated with the security and robustness of AI systems themselves, such as protecting against adversarial attacks and ensuring the integrity of AI models. By combining the strengths of cryptography and AI, cryptographic AI has the potential to revolutionize the way sensitive data is handled and analyzed, enabling secure and privacy-preserving AI applications across various domains.
encrypted data, homomorphic encryption, secure multi-party computation, differential privacy, adversarial attacks
CITATION : "Robert Anderson. 'Cryptographic AI.' Design+Encyclopedia. https://design-encyclopedia.com/?E=431659 (Accessed on December 21, 2024)"
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