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A Framework for Adversarially Robust Streaming Algorithms

A Framework for Adversarially Robust Streaming Algorithms

31 March 2020
Omri Ben-Eliezer
Rajesh Jayaram
David P. Woodruff
E. Yogev
    AAML
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Papers citing "A Framework for Adversarially Robust Streaming Algorithms"

26 / 26 papers shown
Title
Performative Drift Resistant Classification Using Generative Domain Adversarial Networks
Performative Drift Resistant Classification Using Generative Domain Adversarial Networks
Maciej Makowski
Brandon Gower-Winter
Georg Krempl
21
0
0
01 Apr 2025
Privacy-Preserving Hamming Distance Computation with Property-Preserving Hashing
Privacy-Preserving Hamming Distance Computation with Property-Preserving Hashing
Dongfang Zhao
47
0
0
22 Mar 2025
Fast White-Box Adversarial Streaming Without a Random Oracle
Fast White-Box Adversarial Streaming Without a Random Oracle
Ying Feng
Aayush Jain
David P. Woodruff
AAML
33
0
0
10 Jun 2024
Robust Streaming, Sampling, and a Perspective on Online Learning
Robust Streaming, Sampling, and a Perspective on Online Learning
Evan Dogariu
Jiatong Yu
6
0
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
10
0
0
01 Nov 2023
Cuckoo Hashing in Cryptography: Optimal Parameters, Robustness and
  Applications
Cuckoo Hashing in Cryptography: Optimal Parameters, Robustness and Applications
Kevin Yeo
26
18
0
20 Jun 2023
Provable Robustness for Streaming Models with a Sliding Window
Provable Robustness for Streaming Models with a Sliding Window
Aounon Kumar
Vinu Sankar Sadasivan
S. Feizi
OOD
AAML
AI4TS
11
1
0
28 Mar 2023
Streaming Algorithms for Learning with Experts: Deterministic Versus
  Robust
Streaming Algorithms for Learning with Experts: Deterministic Versus Robust
David P. Woodruff
Fred Zhang
Samson Zhou
16
6
0
03 Mar 2023
Relaxed Models for Adversarial Streaming: The Advice Model and the
  Bounded Interruptions Model
Relaxed Models for Adversarial Streaming: The Advice Model and the Bounded Interruptions Model
Menachem Sadigurschi
M. Shechner
Uri Stemmer
AAML
10
0
0
22 Jan 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
11
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
30
10
0
14 Sep 2022
Online Lewis Weight Sampling
Online Lewis Weight Sampling
David P. Woodruff
T. Yasuda
13
21
0
17 Jul 2022
Online Prediction in Sub-linear Space
Online Prediction in Sub-linear Space
Binghui Peng
Fred Zhang
11
16
0
16 Jul 2022
Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of
  CountSketch to Adaptive Inputs
Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs
Edith Cohen
Jelani Nelson
Tamás Sarlós
Uri Stemmer
AAML
10
8
0
03 Jul 2022
Uniform Approximations for Randomized Hadamard Transforms with
  Applications
Uniform Approximations for Randomized Hadamard Transforms with Applications
Yeshwanth Cherapanamjeri
Jelani Nelson
17
11
0
03 Mar 2022
On the Robustness of CountSketch to Adaptive Inputs
On the Robustness of CountSketch to Adaptive Inputs
E. Cohen
Xin Lyu
Jelani Nelson
Tamás Sarlós
M. Shechner
Uri Stemmer
AAML
9
22
0
28 Feb 2022
Bounded Space Differentially Private Quantiles
Bounded Space Differentially Private Quantiles
Daniel Alabi
Omri Ben-Eliezer
Anamay Chaturvedi
16
18
0
10 Jan 2022
The Complexity of Dynamic Least-Squares Regression
The Complexity of Dynamic Least-Squares Regression
Shunhua Jiang
Binghui Peng
Omri Weinstein
15
4
0
01 Jan 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
29
50
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
11
29
0
30 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
17
38
0
28 Jun 2021
Property-Preserving Hash Functions from Standard Assumptions
Property-Preserving Hash Functions from Standard Assumptions
Nils Fleischhacker
Kasper Green Larsen
Mark Simkin
15
5
0
11 Jun 2021
Sublinear Least-Squares Value Iteration via Locality Sensitive Hashing
Sublinear Least-Squares Value Iteration via Locality Sensitive Hashing
Anshumali Shrivastava
Zhao-quan Song
Zhaozhuo Xu
8
22
0
18 May 2021
Adversarial Laws of Large Numbers and Optimal Regret in Online
  Classification
Adversarial Laws of Large Numbers and Optimal Regret in Online Classification
N. Alon
Omri Ben-Eliezer
Y. Dagan
Shay Moran
M. Naor
E. Yogev
73
51
0
22 Jan 2021
Adversarially Robust Streaming Algorithms via Differential Privacy
Adversarially Robust Streaming Algorithms via Differential Privacy
Avinatan Hassidim
Haim Kaplan
Yishay Mansour
Yossi Matias
Uri Stemmer
6
64
0
13 Apr 2020
The Adversarial Robustness of Sampling
The Adversarial Robustness of Sampling
Omri Ben-Eliezer
E. Yogev
TTA
AAML
6
45
0
26 Jun 2019
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