​
Login / Signup
Xin Yang
Publication Activity (10 Years)
Years Active: 2016-2023
Publications (10 Years): 32
Top Topics
Semidefinite
Differentially Private
Language Processing
Linear Regression
Top Venues
CoRR
Electron. Colloquium Comput. Complex.
COLT
AISTATS
</>
Publications
</>
Jiankai Sun
,
Xin Yang
,
Yuanshun Yao
,
Junyuan Xie
,
Di Wu
,
Chong Wang
DPAUC: Differentially Private AUC Computation in Federated Learning.
AAAI
(2023)
Mimee Xu
,
Jiankai Sun
,
Xin Yang
,
Kevin Yao
,
Chong Wang
Netflix and Forget: Efficient and Exact Machine Unlearning from Bi-linear Recommendations.
CoRR
(2023)
Shangyu Xie
,
Xin Yang
,
Yuanshun Yao
,
Tianyi Liu
,
Taiqing Wang
,
Jiankai Sun
Label Inference Attack against Split Learning under Regression Setting.
CoRR
(2023)
Jiankai Sun
,
Xin Yang
,
Yuanshun Yao
,
Chong Wang
Label Leakage and Protection from Forward Embedding in Vertical Federated Learning.
CoRR
(2022)
Xin Yang
,
Jiankai Sun
,
Yuanshun Yao
,
Junyuan Xie
,
Chong Wang
Differentially Private Label Protection in Split Learning.
CoRR
(2022)
Ruihan Wu
,
Xin Yang
,
Yuanshun Yao
,
Jiankai Sun
,
Tianyi Liu
,
Kilian Q. Weinberger
,
Chong Wang
Differentially Private Multi-Party Data Release for Linear Regression.
CoRR
(2022)
Ruihan Wu
,
Xin Yang
,
Yuanshun Yao
,
Jiankai Sun
,
Tianyi Liu
,
Kilian Q. Weinberger
,
Chong Wang
Differentially private multi-party data release for linear regression.
UAI
(2022)
Jiankai Sun
,
Xin Yang
,
Yuanshun Yao
,
Junyuan Xie
,
Di Wu
,
Chong Wang
Differentially Private AUC Computation in Vertical Federated Learning.
CoRR
(2022)
Oscar Li
,
Jiankai Sun
,
Xin Yang
,
Weihao Gao
,
Hongyi Zhang
,
Junyuan Xie
,
Virginia Smith
,
Chong Wang
Label Leakage and Protection in Two-party Split Learning.
ICLR
(2022)
Jiankai Sun
,
Xin Yang
,
Yuanshun Yao
,
Junyuan Xie
,
Di Wu
,
Chong Wang
DPAUC: Differentially Private AUC Computation in Federated Learning.
CoRR
(2022)
Zhao Song
,
Xin Yang
,
Yuanyuan Yang
,
Tianyi Zhou
Faster Algorithm for Structured John Ellipsoid Computation.
CoRR
(2022)
Zhao Song
,
Xin Yang
,
Yuanyuan Yang
,
Lichen Zhang
Sketching Meets Differential Privacy: Fast Algorithm for Dynamic Kronecker Projection Maintenance.
CoRR
(2022)
Oscar Li
,
Jiankai Sun
,
Xin Yang
,
Weihao Gao
,
Hongyi Zhang
,
Junyuan Xie
,
Virginia Smith
,
Chong Wang
Label Leakage and Protection in Two-party Split Learning.
CoRR
(2021)
Baihe Huang
,
Xiaoxiao Li
,
Zhao Song
,
Xin Yang
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Analysis.
ICML
(2021)
Jiankai Sun
,
Xin Yang
,
Yuanshun Yao
,
Aonan Zhang
,
Weihao Gao
,
Junyuan Xie
,
Chong Wang
Vertical Federated Learning without Revealing Intersection Membership.
CoRR
(2021)
Baihe Huang
,
Xiaoxiao Li
,
Zhao Song
,
Xin Yang
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Convergence Analysis.
CoRR
(2021)
Yingyu Liang
,
Zhao Song
,
Mengdi Wang
,
Lin F. Yang
,
Xin Yang
Sketching Transformed Matrices with Applications to Natural Language Processing.
CoRR
(2020)
Yingyu Liang
,
Zhao Song
,
Mengdi Wang
,
Lin Yang
,
Xin Yang
Sketching Transformed Matrices with Applications to Natural Language Processing.
AISTATS
(2020)
Paul Beame
,
Shayan Oveis Gharan
,
Xin Yang
On the Bias of Reed-Muller Codes over Odd Prime Fields.
SIAM J. Discret. Math.
34 (2) (2020)
Michael B. Cohen
,
Ben Cousins
,
Yin Tat Lee
,
Xin Yang
A near-optimal algorithm for approximating the John Ellipsoid.
COLT
(2019)
Zhao Song
,
Xin Yang
Quadratic Suffices for Over-parametrization via Matrix Chernoff Bound.
CoRR
(2019)
Huaian Diao
,
Zhao Song
,
David P. Woodruff
,
Xin Yang
Total Least Squares Regression in Input Sparsity Time.
CoRR
(2019)
Michael B. Cohen
,
Ben Cousins
,
Yin Tat Lee
,
Xin Yang
A near-optimal algorithm for approximating the John Ellipsoid.
CoRR
(2019)
Huaian Diao
,
Zhao Song
,
David P. Woodruff
,
Xin Yang
Total Least Squares Regression in Input Sparsity Time.
NeurIPS
(2019)
Paul Beame
,
Shayan Oveis Gharan
,
Xin Yang
On the Bias of Reed-Muller Codes over Odd Prime Fields.
CoRR
(2018)
Paul Beame
,
Shayan Oveis Gharan
,
Xin Yang
Time-Space Tradeoffs for Learning Finite Functions from Random Evaluations, with Applications to Polynomials.
Electron. Colloquium Comput. Complex.
25 (2018)
Paul Beame
,
Shayan Oveis Gharan
,
Xin Yang
Time-Space Tradeoffs for Learning Finite Functions from Random Evaluations, with Applications to Polynomials.
COLT
(2018)
Paul Beame
,
Shayan Oveis Gharan
,
Xin Yang
Time-Space Tradeoffs for Learning from Small Test Spaces: Learning Low Degree Polynomial Functions.
CoRR
(2017)
Rebecca Hoberg
,
Harishchandra Ramadas
,
Thomas Rothvoss
,
Xin Yang
Number Balancing is as Hard as Minkowski's Theorem and Shortest Vector.
IPCO
(2017)
Paul Beame
,
Shayan Oveis Gharan
,
Xin Yang
Time-Space Tradeoffs for Learning from Small Test Spaces: Learning Low Degree Polynomial Functions.
Electron. Colloquium Comput. Complex.
24 (2017)
Danyang Zhuo
,
Qiao Zhang
,
Xin Yang
,
Vincent Liu
Canaries in the Network.
HotNets
(2016)
Rebecca Hoberg
,
Harishchandra Ramadas
,
Thomas Rothvoss
,
Xin Yang
Number Balancing is as hard as Minkowski's Theorem and Shortest Vector.
CoRR
(2016)