Privacy Preserving Machine Learning: Threats and Solutions

27 March 2018

Papers citing "Privacy Preserving Machine Learning: Threats and Solutions"

6 / 6 papers shown

Title
Guarding the Privacy of Label-Only Access to Neural Network Classifiers via iDP Verification Anan Kabaha Dana Drachsler-Cohen AAML 62 0 0 23 Feb 2025
On The Role of Prompt Construction In Enhancing Efficacy and Efficiency of LLM-Based Tabular Data Generation Banooqa H. Banday Kowshik Thopalli Tanzima Z. Islam Jayaraman J. Thiagarajan 93 0 0 06 Sep 2024
Noninterference Analysis of Reversible Systems: An Approach Based on Branching Bisimilarity Andrea Esposito A. Aldini Marco Bernardo Sabina Rossi 31 0 0 27 Nov 2023
Simulating Tariff Impact in Electrical Energy Consumption Profiles with Conditional Variational Autoencoders M. Brégère R. Bessa 49 14 0 10 Jun 2020
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 221 4,075 0 18 Oct 2016
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 70 1,977 0 25 Jul 2014