Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1908.03566
Cited By
v1
v2 (latest)
That which we call private
8 August 2019
Ulfar Erlingsson
Ilya Mironov
A. Raghunathan
Shuang Song
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"That which we call private"
13 / 13 papers shown
Title
Near Exact Privacy Amplification for Matrix Mechanisms
Christopher A. Choquette-Choo
Arun Ganesh
Saminul Haque
Thomas Steinke
Abhradeep Thakurta
143
10
0
08 Oct 2024
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning
A. Salem
Giovanni Cherubin
David Evans
Boris Köpf
Andrew Paverd
Anshuman Suri
Shruti Tople
Santiago Zanella Béguelin
134
40
0
21 Dec 2022
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano
Chuan Guo
Alexandre Sablayrolles
Maziar Sanjabi
FedML
62
17
0
24 Oct 2022
Bayesian Estimation of Differential Privacy
Santiago Zanella Béguelin
Lukas Wutschitz
Shruti Tople
A. Salem
Victor Rühle
Andrew Paverd
Mohammad Naseri
Boris Köpf
Daniel Jones
76
40
0
10 Jun 2022
Bounding Membership Inference
Anvith Thudi
Ilia Shumailov
Franziska Boenisch
Nicolas Papernot
71
18
0
24 Feb 2022
Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams
S. Denisov
H. B. McMahan
J. Rush
Adam D. Smith
Abhradeep Thakurta
FedML
101
66
0
16 Feb 2022
Enhanced Membership Inference Attacks against Machine Learning Models
Jiayuan Ye
Aadyaa Maddi
S. K. Murakonda
Vincent Bindschaedler
Reza Shokri
MIALM
MIACV
110
256
0
18 Nov 2021
LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis
Fan Wu
Yunhui Long
Ce Zhang
Yue Liu
AAML
89
100
0
14 Aug 2021
Antipodes of Label Differential Privacy: PATE and ALIBI
Mani Malek
Ilya Mironov
Karthik Prasad
I. Shilov
Florian Tramèr
71
66
0
07 Jun 2021
D3p -- A Python Package for Differentially-Private Probabilistic Programming
Lukas Prediger
Niki Loppi
Samuel Kaski
Antti Honkela
76
6
0
22 Mar 2021
On the Privacy Risks of Algorithmic Fairness
Hong Chang
Reza Shokri
FaML
195
113
0
07 Nov 2020
Investigating Membership Inference Attacks under Data Dependencies
Thomas Humphries
Simon Oya
Lindsey Tulloch
Matthew Rafuse
I. Goldberg
Urs Hengartner
Florian Kerschbaum
MIACV
MIALM
100
36
0
23 Oct 2020
Encode, Shuffle, Analyze Privacy Revisited: Formalizations and Empirical Evaluation
Ulfar Erlingsson
Vitaly Feldman
Ilya Mironov
A. Raghunathan
Shuang Song
Kunal Talwar
Abhradeep Thakurta
72
84
0
10 Jan 2020
1