Search Results - amina+bassit

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CONCEALING ALGORITHM LOGIC IN SECURE HOMOMORPHIC COMPUTATION

VAlue proposition This technology, PrivaCT, offers a significant value proposition in the realm of data privacy and security. By leveraging fully homomorphic encryption (FHE), PrivaCT enables computations to be performed on encrypted data without the need for decryption, thereby preserving data confidentiality. What sets PrivaCT apart is its innovative...
Published: 6/30/2026   |   Inventor(s): Vishnu Boddeti, Amina Bassit
Keywords(s):   Category(s): Computer Software

SECURE RETRIEVAL-BASED LANGUAGE GENERATION

Value proposition Security in large language models (LLMs) is crucial due to the potential for data breaches, malicious attacks, and the generation of harmful or biased content. LLMs are trained on vast datasets containing sensitive information, making them prime targets for attacks. These attacks can lead to data leaks, privacy violations, and reputational...
Published: 3/31/2026   |   Inventor(s): Vishnu Boddeti, Amina Bassit
Keywords(s):   Category(s): Computer Software, Informatics