Bayes Security: A Not So Average Metric

6 November 2020

Papers citing "Bayes Security: A Not So Average Metric"

8 / 8 papers shown

Title
Reconstructing Training Data with Informed Adversaries Borja Balle Giovanni Cherubin Jamie Hayes MIACV AAML 84 168 0 13 Jan 2022
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 486 1,917 0 14 Dec 2020
F-BLEAU: Fast Black-box Leakage Estimation Giovanni Cherubin K. Chatzikokolakis C. Palamidessi 56 34 0 04 Feb 2019
Utility-Optimized Local Differential Privacy Mechanisms for Distribution Estimation Takao Murakami Yusuke Kawamoto 25 91 0 30 Jul 2018
Bayes, not Naïve: Security Bounds on Website Fingerprinting Defenses Giovanni Cherubin 71 37 0 24 Feb 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 246 4,122 0 18 Oct 2016
k-fingerprinting: a Robust Scalable Website Fingerprinting Technique Jamie Hayes G. Danezis 50 384 0 02 Sep 2015
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 94 1,992 0 25 Jul 2014