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Adversarially Robust Streaming Algorithms via Differential Privacy

Adversarially Robust Streaming Algorithms via Differential Privacy

13 April 2020
Avinatan Hassidim
Haim Kaplan
Yishay Mansour
Yossi Matias
Uri Stemmer
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Papers citing "Adversarially Robust Streaming Algorithms via Differential Privacy"

14 / 14 papers shown
Title
Hot PATE: Private Aggregation of Distributions for Diverse Task
Hot PATE: Private Aggregation of Distributions for Diverse Task
Edith Cohen
Benjamin Cohen-Wang
Xin Lyu
Jelani Nelson
Tamas Sarlos
Uri Stemmer
44
3
0
04 Dec 2023
Adversarially Robust Distributed Count Tracking via Partial Differential
  Privacy
Adversarially Robust Distributed Count Tracking via Partial Differential Privacy
Zhongzheng Xiong
Xiaoyi Zhu
Zengfeng Huang
20
0
0
01 Nov 2023
Unbounded Differentially Private Quantile and Maximum Estimation
Unbounded Differentially Private Quantile and Maximum Estimation
D. Durfee
41
6
0
02 May 2023
Near Optimal Memory-Regret Tradeoff for Online Learning
Near Optimal Memory-Regret Tradeoff for Online Learning
Binghui Peng
A. Rubinstein
CLL
28
10
0
03 Mar 2023
Adore: Differentially Oblivious Relational Database Operators
Adore: Differentially Oblivious Relational Database Operators
Lianke Qin
Rajesh Jayaram
E. Shi
Zhao-quan Song
Danyang Zhuo
Shumo Chu
30
14
0
10 Dec 2022
Adversarial Correctness and Privacy for Probabilistic Data Structures
Adversarial Correctness and Privacy for Probabilistic Data Structures
M. Filic
Kenneth G. Paterson
Anupama Unnikrishnan
Fernando Virdia
35
10
0
14 Sep 2022
Uniform Approximations for Randomized Hadamard Transforms with
  Applications
Uniform Approximations for Randomized Hadamard Transforms with Applications
Yeshwanth Cherapanamjeri
Jelani Nelson
33
11
0
03 Mar 2022
The Price of Differential Privacy under Continual Observation
The Price of Differential Privacy under Continual Observation
Palak Jain
Sofya Raskhodnikova
Satchit Sivakumar
Adam D. Smith
31
51
0
01 Dec 2021
A Framework for Adversarial Streaming via Differential Privacy and
  Difference Estimators
A Framework for Adversarial Streaming via Differential Privacy and Difference Estimators
Idan Attias
E. Cohen
M. Shechner
Uri Stemmer
26
29
0
30 Jul 2021
Smoothed Differential Privacy
Smoothed Differential Privacy
Ao Liu
Yu-Xiang Wang
Lirong Xia
27
0
0
04 Jul 2021
Adversarial Robustness of Streaming Algorithms through Importance
  Sampling
Adversarial Robustness of Streaming Algorithms through Importance Sampling
Vladimir Braverman
Avinatan Hassidim
Yossi Matias
Mariano Schain
Sandeep Silwal
Samson Zhou
AAML
OOD
24
38
0
28 Jun 2021
Adaptive Machine Unlearning
Adaptive Machine Unlearning
Varun Gupta
Christopher Jung
Seth Neel
Aaron Roth
Saeed Sharifi-Malvajerdi
Chris Waites
MU
11
174
0
08 Jun 2021
The Sparse Vector Technique, Revisited
The Sparse Vector Technique, Revisited
Haim Kaplan
Yishay Mansour
Uri Stemmer
35
17
0
02 Oct 2020
A Framework for Adversarially Robust Streaming Algorithms
A Framework for Adversarially Robust Streaming Algorithms
Omri Ben-Eliezer
Rajesh Jayaram
David P. Woodruff
E. Yogev
AAML
35
91
0
31 Mar 2020
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