Search Results - vishnu+boddeti

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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   |   Updated: 6/30/2026   |   Inventor(s): Vishnu Boddeti, Amina Bassit
Keywords(s):  
Category(s): Computer Software
NEURAL NETWORKS WITH HOMOMORPHIC ENCRYPTION
VAlue proposition Deployment of neural inference over encrypted data—using Fully Homomorphic Encryption (FHE) or Secure Multiparty Computation (MPC)—enables privacy-preserving computation crucial for sensitive applications in healthcare, biometrics, finance, and national security. However, encrypted neural inference has significant physical...
Published: 6/30/2026   |   Updated: 6/30/2026   |   Inventor(s): Vishnu Boddeti, Wei Ao
Keywords(s):  
Category(s): Computer Software
SECURE BIOMETRIC RECOGNITION USING EFFICIENT NEURAL NETWORKS
Value proposition Face Recognition (FR) has become integral to identity management in many practical applications, from unlocking personal devices to facilitating law enforcement and accessing financial services. These systems process sensitive biometric data that, if compromised, can lead to privacy invasions, identity theft, and unauthorized surveillance....
Published: 3/31/2026   |   Updated: 8/19/2025   |   Inventor(s): Vishnu Boddeti, Wei Ao
Keywords(s):  
Category(s): Computer Software, Informatics, Data Processing/Analysis
AUTOMATED STRUCTURAL DAMAGE DETECTION AND LOCALIZATION USING MECHANICS-INFORMED DATA ANALYSIS
VAlue proposition Structural health monitoring ensures the safety and longevity of structures like buildings and bridges. As the volume and scale of structures and the impact of their failure continue to grow, there is a need for techniques that are scalable, inexpensive, can operate passively without human intervention, and are customized for each...
Published: 3/2/2026   |   Updated: 8/19/2025   |   Inventor(s): Vishnu Boddeti, Nizar Lajnef, Xuyang Li, Mahdi Masmoudi
Keywords(s):  
Category(s): Test and Measurement
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   |   Updated: 7/3/2025   |   Inventor(s): Vishnu Boddeti, Amina Bassit
Keywords(s):  
Category(s): Computer Software, Informatics