Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information

21 September 2022

Papers citing "Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information"

6 / 6 papers shown

Title
Quantifying Privacy Leakage in Split Inference via Fisher-Approximated Shannon Information Analysis Ruijun Deng Zhihui Lu Qiang Duan FedML 46 0 0 14 Apr 2025
Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Sai Qian Zhang Ziyun Li Chuan Guo Saeed Mahloujifar Deeksha Dangwal Edward Suh B. D. Salvo Chiao Liu DiffM 90 0 0 11 Dec 2024
SparseLock: Securing Neural Network Models in Deep Learning Accelerators Nivedita Shrivastava S. Sarangi AAML 38 1 0 05 Nov 2023
Approximating ReLU on a Reduced Ring for Efficient MPC-based Private Inference Kiwan Maeng G. E. Suh 30 2 0 09 Sep 2023
Bounding Training Data Reconstruction in Private (Deep) Learning Chuan Guo Brian Karrer Kamalika Chaudhuri L. V. D. van der Maaten 115 53 0 28 Jan 2022
Label Leakage and Protection in Two-party Split Learning Oscar Li Jiankai Sun Xin Yang Weihao Gao Hongyi Zhang Junyuan Xie Virginia Smith Chong-Jun Wang FedML 134 139 0 17 Feb 2021