Reconstructing Training Data with Informed Adversaries

Reconstructing Training Data with Informed Adversaries

13 January 2022

Giovanni Cherubin

Papers citing "Reconstructing Training Data with Informed Adversaries"

11 / 111 papers shown

Title
Unlocking High-Accuracy Differentially Private Image Classification through Scale Soham De Leonard Berrada Jamie Hayes Samuel L. Smith Borja Balle 28 217 0 28 Apr 2022
Extracting Targeted Training Data from ASR Models, and How to Mitigate It Ehsan Amid Om Thakkar A. Narayanan Rajiv Mathews Franccoise Beaufays 12 8 0 18 Apr 2022
Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks Dmitrii Usynin Daniel Rueckert Georgios Kaissis SILM AAML 20 17 0 01 Mar 2022
Bounding Training Data Reconstruction in Private (Deep) Learning Chuan Guo Brian Karrer Kamalika Chaudhuri L. V. D. van der Maaten 103 53 0 28 Jan 2022
Adversarial Machine Learning Threat Analysis and Remediation in Open Radio Access Network (O-RAN) Edan Habler Ron Bitton D. Avraham D. Mimran Eitan Klevansky Oleg Brodt Heiko Lehmann Yuval Elovici A. Shabtai AAML 31 12 0 16 Jan 2022
Correlation inference attacks against machine learning models Ana-Maria Creţu Florent Guépin Yves-Alexandre de Montjoye MIACV AAML 30 5 0 16 Dec 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 267 1,808 0 14 Dec 2020
When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning? Gavin Brown Mark Bun Vitaly Feldman Adam D. Smith Kunal Talwar 245 80 0 11 Dec 2020
Bayes Security: A Not So Average Metric K. Chatzikokolakis Giovanni Cherubin C. Palamidessi Carmela Troncoso 11 14 0 06 Nov 2020
Individual Privacy Accounting via a Renyi Filter Vitaly Feldman Tijana Zrnic 46 86 0 25 Aug 2020
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,387 0 21 Nov 2016