3 papers
cs.CR2026
CryptOracle: A Modular Framework to Characterize Fully Homomorphic Encryption
Cory Brynds, Parker McLeod, Lauren Caccamise +5
Privacy-preserving machine learning has become an important long-term pursuit in this era of artificial intelligence (AI). Fully Homomorphic Encryption (FHE) is a uniquely promisin…
cs.CR2026
Tilewise Domain-Separated Selective Encryption for Remote Sensing Imagery under Chosen-Plaintext Attacks
Jilei Sun, Dianhong Wu, Ying Su
Selective image encryption is common in remote sensing systems because it protects sensitive regions of interest (ROI) while limiting computational cost. However, many selective de…
cs.ET2025
Leveraging Photonic Interconnects for Scalable and Efficient Fully Homomorphic Encryption
Dewan Saiham, Di Wu, Sazadur Rahman
Fully Homomorphic Encryption (FHE) facilitates secure computations on encrypted data but imposes significant demands on memory bandwidth and computational power. While current FHE…