Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?

7 June 2022

Papers citing "Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?"

7 / 7 papers shown

Title
Deep Distance Map Regression Network with Shape-aware Loss for Imbalanced Medical Image Segmentation Huiyu Li Xiabi Liu Said Boumaraf Xiaopeng Gong Donghai Liao Xiaohong Ma 3DV MedIm 109 9 0 17 Jan 2025
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification Ujjwal Baid S. Ghodasara S. Mohan Michel Bilello Evan Calabrese ... M. Weber A. Mahajan Bjoern Menze Adam Flanders Spyridon Bakas 129 631 0 05 Jul 2021
Membership Inference Attacks on Machine Learning: A Survey Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 109 431 0 14 Mar 2021
Inverting Gradients -- How easy is it to break privacy in federated learning? Jonas Geiping Hartmut Bauermeister Hannah Dröge Michael Moeller FedML 96 1,222 0 31 Mar 2020
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks Yuheng Zhang R. Jia Hengzhi Pei Wenxiao Wang Yue Liu D. Song AAML 95 418 0 17 Nov 2019
The Liver Tumor Segmentation Benchmark (LiTS) Patrick Bilic P. Christ Hongwei Bran Li Eugene Vorontsov Avi Ben-Cohen ... L. Soler Bram van Ginneken H. Greenspan Leo Joskowicz Bjoern Menze 100 1,017 0 13 Jan 2019
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning Briland Hitaj G. Ateniese Fernando Perez-Cruz FedML 111 1,399 0 24 Feb 2017