Lambda-randomization: multi-dimensional randomized response made easy
Authors: Nicolas Ruiz | Published: 2026-03-05
差分プライバシー
Towards Privacy-Preserving LLM Inference via Collaborative Obfuscation (Technical Report)
Authors: Yu Lin, Qizhi Zhang, Wenqiang Ruan, Daode Zhang, Jue Hong, Ye Wu, Hanning Xia, Yunlong Mao, Sheng Zhong | Published: 2026-03-02
Privacy-Preserving Mechanisms Enable Cheap Verifiable Inference of LLMs
Authors: Arka Pal, Louai Zahran, William Gvozdjak, Akilesh Potti, Micah Goldblum | Published: 2026-02-19
Differentially Private Retrieval-Augmented Generation
Authors: Tingting Tang, James Flemings, Yongqin Wang, Murali Annavaram | Published: 2026-02-16
Cachemir: Fully Homomorphic Encrypted Inference of Generative Large Language Model with KV Cache
Authors: Ye Yu, Yifan Zhou, Yi Chen, Pedro Soto, Wenjie Xiong, Meng Li | Published: 2026-02-12
Towards Explainable Federated Learning: Understanding the Impact of Differential Privacy
Authors: Júlio Oliveira, Rodrigo Ferreira, André Riker, Glaucio H. S. Carvalho, Eirini Eleni Tsilopoulou | Published: 2026-02-10
Guaranteeing Privacy in Hybrid Quantum Learning through Theoretical Mechanisms
Authors: Hoang M. Ngo, Tre' R. Jeter, Incheol Shin, Wanli Xing, Tamer Kahveci, My T. Thai | Published: 2026-02-02
LoRA and Privacy: When Random Projections Help (and When They Don’t)
Authors: Yaxi Hu, Johanna Düngler, Bernhard Schölkopf, Amartya Sanyal | Published: 2026-01-29
Data-Free Privacy-Preserving for LLMs via Model Inversion and Selective Unlearning
Authors: Xinjie Zhou, Zhihui Yang, Lechao Cheng, Sai Wu, Gang Chen | Published: 2026-01-22
PAC-Private Responses with Adversarial Composition
Authors: Xiaochen Zhu, Mayuri Sridhar, Srinivas Devadas | Published: 2026-01-20