DNN Data Hiding for Transformer Encoder in ViT Models
Shuntaro Fukuoka, Shoko Imaizumi, and Minoru Kuribayashi,
“DNN Data Hiding for Transformer Encoder in ViT Models,”
Bull. Soc. Photogr. Imag. Japan, vol.34, no.2, pp.20-30, November 2024.
On the Security of Bitstream-level JPEG Encryption with Restart Markers
Mare Hirose, Shoko Imaizumi, and Hitoshi Kiya,
“On the Security of Bitstream-level JPEG Encryption with Restart Markers,”
inProc. of APSIPA Annual Summit and Conference, Macau, China, 5th November, 2024.
Enhancing Security Using Random Binary Weights in Privacy-Preserving Federated Learning
Hiroto Sawada, Shoko Imaizumi, and Hitoshi Kiya,
“Enhancing Security Using Random Binary Weights in Privacy-Preserving Federated Learning,”
inProc. of APSIPA Annual Summit and Conference, Macau, China, 5th November, 2024.
Privacy-Preserving ConvMixer Without Any Accuracy Degradation Using Compressible Encrypted Images
Haiwei Lin, Shoko Imaizumi, and Hitoshi Kiya,
“Privacy-Preserving ConvMixer Without Any Accuracy Degradation Using Compressible Encrypted Images,”
Information, vol.15, no.723, November 2024.
Encryption Method for JPEG Bitstreams for Partially Disclosing Visual Information
Mare Hirose, Shoko Imaizumi, and Hitoshi Kiya,
“Encryption Method for JPEG Bitstreams for Partially Disclosing Visual Information,”
Electronics, vol.13, no.2016, May 2024.
An Extended Method for Reversible Color Tone Control Using Data Hiding
Daichi Nakaya and Shoko Imaizumi,
“An Extended Method for Reversible Color Tone Control Using Data Hiding,”
Electronics, vol.13, no.1204, March 2024.
Security Enhancement for Reversible Data Hiding for Palette-Based Images
Noa Kikuchi and Shoko Imaizumi,
“Security Enhancement for Reversible Data Hiding for Palette-Based Images,”
Bull. Soc. Photogr. Imag. Japan, vol.34, no.1, pp.1-8, March 2024.