Privacy-Friendly Adaptation of Vision Transformers for Communication and Latency-Efficient Private Inference.

@inproceedings{pang-2026-privacyfriendly, author = {Zhi Pang and Bo Feng and Meng Luo and Chenhao Liu and Shuwang Xu and Kai Zhao and Yadi Wu and Bo Zeng}, editor = {Hakim Hacid and Yoelle Maarek and Francesco Bonchi and Ido Guy and Emine Yilmaz}, title = {{Privacy-Friendly Adaptation of Vision Transformers for Communication and Latency-Efficient Private Inference}}, booktitle = {{Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026}}, pages = {2695--2706}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3774904.3792211}, doi = {https://doi.org/10.1145/3774904.3792211} }