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影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
53.11
/100
前 7.1%
全站排名 #4,554
发表论文
6
篇
平均评分
5.9
年均产出
3.0
篇/年
Arun Ganesh
Researcher
@
Google
·
OpenReview
研究方向
differential privacy · combinatorial optimization
发表论文
6
合作网络
学术分析
2025
3 篇
ICLR
ICML
NeurIPS
已接收
未接收
评分
6.3
20
Near-Exact Privacy Amplification for Matrix Mechanisms
ICLR 2025
Poster
二作
6.1
9
It's My Data Too: Private ML for Datasets with Multi-User Training Examples
ICML 2025
Poster
一作
5.8
11
The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD
ICLR 2025
Poster
2024
3 篇
7.5
13
Privacy Amplification for Matrix Mechanisms
ICLR 2024
Spotlight
二作
5.7
23
Correlated Noise Provably Beats Independent Noise for Differentially Private Learning
ICLR 2024
Poster
4.0
20
The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD
NeurIPS 2024
Rejected
合作者 (15)
AT
Abhradeep Guha Thakurta
5 篇
CC
Christopher A. Choquette-Choo
5 篇
TS
Thomas Steinke
5 篇
AS
Adam Smith
3 篇
AT
Andreas Terzis
2 篇
BB
Borja Balle
2 篇
JH
Jamie Hayes
2 篇
MJ
Matthew Jagielski
2 篇
查看全部 15 位合作者