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On the Robustness of CountSketch to Adaptive Inputs

On the Robustness of CountSketch to Adaptive Inputs

28 February 2022
E. Cohen
Xin Lyu
Jelani Nelson
Tamas Sarlos
M. Shechner
Uri Stemmer
    AAML
ArXivPDFHTML

Papers citing "On the Robustness of CountSketch to Adaptive Inputs"

4 / 4 papers shown
Title
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
1
0
01 Nov 2023
Improved Utility Analysis of Private CountSketch
Improved Utility Analysis of Private CountSketch
Rasmus Pagh
M. Thorup
FedML
34
20
0
17 May 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
1