Ruobin Gong

24 papers A* 3A 1Journal 12Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Refreshment Stirred, Not Shaken (II): Invariant-Preserving Deployments of Differential Privacy for the US Decennial Census.
CoRR
James Bailie, Ruobin Gong, Xiao-Li Meng
2025 J jnl
A Refreshment Stirred, Not Shaken (III): Can Swapping Be Differentially Private?
CoRR
James Bailie, Ruobin Gong, Xiao-Li Meng
2025 A conf
Differentially Private Range Queries with Correlated Input Perturbation.
AISTATS
Prathamesh Dharangutte, Jie Gao, Ruobin Gong, Guanyang Wang
2025 — conf
Elicitation for sets of probabilities and distributions.
ISIPTA
Mark J. Schervish, Teddy Seidenfeld, Ruobin Gong, Joseph B. Kadane, Rafael Bassi Stern
2025 J jnl
The Five Safes as a Privacy Context.
CoRR
James Bailie, Ruobin Gong
2025 J jnl
When no Price is Right.
Rev. Symb. Log.
Mark J. Schervish, Teddy Seidenfeld, Joseph B. Kadane, Ruobin Gong, Rafael Bassi Stern
2024 J jnl
Differentially Private Range Queries with Correlated Input Perturbation.
CoRR
Prathamesh Dharangutte, Jie Gao, Ruobin Gong, Guanyang Wang
2024 J jnl
Foreword for the Collection of Papers from the Workshop on the Analysis of Census Noisy Measurement Files and Differential Privacy.
J. Priv. Confidentiality
Jörg Drechsler, Ruobin Gong, Weijie Su, Linjun Zhang
2024 J jnl
General inferential limits under differential and Pufferfish privacy.
Int. J. Approx. Reason.
James Bailie, Ruobin Gong
2023 — conf
Differential privacy: general inferential limits via intervals of measures.
ISIPTA
James Bailie, Ruobin Gong
2023 — conf
Dynamic precise and imprecise probability kinematics.
ISIPTA
Michele Caprio, Ruobin Gong
2023 A* conf
Integer Subspace Differential Privacy.
AAAI
Prathamesh Dharangutte, Jie Gao, Ruobin Gong, Fang-Yi Yu
2022 A* conf
Data Augmentation MCMC for Bayesian Inference from Privatized Data.
NeurIPS
Nianqiao Ju, Jordan Awan, Ruobin Gong, Vinayak Rao
2022 J jnl
Exact Inference with Approximate Computation for Differentially Private Data via Perturbations.
J. Priv. Confidentiality
Ruobin Gong
2022 J jnl
Integer Subspace Differential Privacy.
CoRR
Prathamesh Dharangutte, Jie Gao, Ruobin Gong, Fang-Yi Yu
2022 J jnl
Learning and total evidence with imprecise probabilities.
Int. J. Approx. Reason.
Ruobin Gong, Joseph B. Kadane, Mark J. Schervish, Teddy Seidenfeld, Rafael Bassi Stern
2022 A* conf
Subspace Differential Privacy.
AAAI
Jie Gao, Ruobin Gong, Fang-Yi Yu
2021 J jnl
Subspace Differential Privacy.
CoRR
Jie Gao, Ruobin Gong, Fang-Yi Yu
2021 — conf
Total Evidence and Learning with Imprecise Probabilities.
ISIPTA
Ruobin Gong, Joseph B. Kadane, Mark J. Schervish, Teddy Seidenfeld
2020 — conf
Congenial Differential Privacy under Mandated Disclosure.
FODS
Ruobin Gong, Xiao-Li Meng
2020 J jnl
Congenial Differential Privacy under Mandated Disclosure.
CoRR
Ruobin Gong, Xiao-Li Meng
2019 — conf
Simultaneous Inference under the Vacuous Orientation Assumption.
ISIPTA
Ruobin Gong
2017 — conf
A 3D Tube-Object Centerline Extraction Algorithm Based on Steady Fluid Dynamics.
ICIG (3)
Dongjin Huang, Ruobin Gong, Hejuan Li, Wen Tang, Youdong Ding
2016 — conf
Position based balloon angioplasty.
VRCAI
Pengbin Tang, Dongjin Huang, Yin Wang, Ruobin Gong, Wen Tang, Youdong Ding