APA (7th ed.) Citation

Saeki, S., Kawahara, M., & Aman, H. (2026). Privacy-Preserving Product-Quantized Approximate Nearest Neighbor Search Framework for Large-scale Datasets via A Hybrid of Fully Homomorphic Encryption and Trusted Execution Environment.

Chicago Style (17th ed.) Citation

Saeki, Shozo, Minoru Kawahara, and Hirohisa Aman. Privacy-Preserving Product-Quantized Approximate Nearest Neighbor Search Framework for Large-scale Datasets via A Hybrid of Fully Homomorphic Encryption and Trusted Execution Environment. 2026.

MLA (9th ed.) Citation

Saeki, Shozo, et al. Privacy-Preserving Product-Quantized Approximate Nearest Neighbor Search Framework for Large-scale Datasets via A Hybrid of Fully Homomorphic Encryption and Trusted Execution Environment. 2026.