Privacy-Preserving Convolutional Bi-LSTM Network for Robust Analysis of Encrypted Time-Series Medical Images
M Kolhar, SM Aldossary - Ai, 2023 - mdpi.com
Deep learning (DL) algorithms can improve healthcare applications. DL has improved
medical imaging diagnosis, therapy, and illness management. The use of deep learning …
medical imaging diagnosis, therapy, and illness management. The use of deep learning …
[PDF][PDF] Pqc meets ml or ai: Exploring the synergy of machine learning and post-quantum cryptography
Artificial Intelligence and Machine Learning are widely integrated into real-world
applications, facing security and privacy risks. The emergence of quantum computers poses …
applications, facing security and privacy risks. The emergence of quantum computers poses …
QuripfeNet: Quantum-Resistant IPFE-Based Neural Network
In order to protect the sensitive information in many applications involving neural networks,
several privacy-preserving neural networks that operate on encrypted data have been …
several privacy-preserving neural networks that operate on encrypted data have been …
Privacy-Preserving Machine Learning Using Functional Encryption: Opportunities and Challenges
With the advent of functional encryption (FE), new possibilities for the computation of
encrypted data have arisen. FE enables data owners to grant third-party access to perform …
encrypted data have arisen. FE enables data owners to grant third-party access to perform …
[PDF][PDF] Post-Quantum Security for Trustworthy Artificial Intelligence: An Emerging Frontier
Recent advancements in artificial intelligence (AI) have established it as a vital tool across
critical sectors such as healthcare, finance, and defense. However, significant security and …
critical sectors such as healthcare, finance, and defense. However, significant security and …