Exploring the Security Boundary of Data Reconstruction via Neuron
Exclusivity Analysis

Exploring the Security Boundary of Data Reconstruction via Neuron Exclusivity Analysis

26 October 2020

Papers citing "Exploring the Security Boundary of Data Reconstruction via Neuron Exclusivity Analysis"

15 / 15 papers shown

Title
Quantifying Privacy Leakage in Split Inference via Fisher-Approximated Shannon Information Analysis Ruijun Deng Zhihui Lu Qiang Duan FedML 159 0 0 14 Apr 2025
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis Jiancheng Yang Rui Shi Bingbing Ni VLM 81 303 0 28 Oct 2020
Inverting Gradients -- How easy is it to break privacy in federated learning? Jonas Geiping Hartmut Bauermeister Hannah Dröge Michael Moeller FedML 96 1,223 0 31 Mar 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 210 6,229 0 10 Dec 2019
Reverse-Engineering Deep ReLU Networks David Rolnick Konrad Paul Kording 62 103 0 02 Oct 2019
Federated Machine Learning: Concept and Applications Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 70 2,311 0 13 Feb 2019
Exploiting Unintended Feature Leakage in Collaborative Learning Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov FedML 138 1,471 0 10 May 2018
Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC) Noel Codella D. Gutman M. E. Celebi Brian Helba Michael Marchetti ... Aadi Kalloo Konstantinos Liopyris N. Mishra Harald Kittler Allan Halpern 81 2,072 0 13 Oct 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 169 2,878 0 14 Mar 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning Briland Hitaj G. Ateniese Fernando Perez-Cruz FedML 111 1,401 0 24 Feb 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 230 4,103 0 18 Oct 2016
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 293 4,636 0 18 Oct 2016
Stealing Machine Learning Models via Prediction APIs Florian Tramèr Fan Zhang Ari Juels Michael K. Reiter Thomas Ristenpart SILM MLAU 102 1,803 0 09 Sep 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 191 6,109 0 01 Jul 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 421 18,334 0 27 May 2016

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