2023 TOP Differential Privacy Review

2023 年度的顶会已经出炉，在此把关于 Differential Privacy 的部分筛选出来，以供后续学习，整理内容已同步在 Github。

人工智能

会议

AAAI

paper	authors	code
Differentially Private Nonlinear Causal Discovery from Numerical Data	Hao Zhang	url
DPAUC: Differentially Private AUC Computation in Federated Learning	Jiankai Sun	url
XRand: Differentially Private Defense against Explanation-Guided Attacks	Truc Nguyen	none
Differentially Private Learning with Per-Sample Adaptive Clipping	Tianyu Xia	none
Differentially Private Heatmaps	Badih Ghazi	none
Integer Subspace Differential Privacy	Prathamesh Dharangutte	none
Two Views of Constrained Differential Privacy: Belief Revision and Update	Likang Liu	none
Differentially Private Fair Division	Pasin Manurangsi	none
Differentially Private Condorcet Voting	Zhechen Li	none

NeurlPS

paper	authors	code
DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning	Wenxuan Bao	url
Gaussian Differential Privacy on Riemannian Manifolds	Yangdi Jiang	url
Functional Renyi Differential Privacy for Generative Modeling	Dihong Jiang	url
Differentially Private Image Classification by Learning Priors from Random Processes	Xinyu Tang	url
Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger	Zhiqi Bu	url
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection	Eli Chien	url
Unleashing the Power of Randomization in Auditing Differentially Private ML	Krishna Pillutla	url
Dynamic Personalized Federated Learning with Adaptive Differential Privacy	Xiyuan Yang	url
Differentially Private Statistical Inference through \(\beta\)-Divergence One Posterior Sampling	Jack E. Jewson	url
Faster Differentially Private Convex Optimization via Second-Order Methods	Arun Ganesh	none
On Differentially Private Sampling from Gaussian and Product Distributions	Badih Ghazi	none
Black-Box Differential Privacy for Interactive ML	Haim Kaplan	none
Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models	Haonan Duan	none
Adversarially Robust Distributed Count Tracking via Partial Differential Privacy	Zhongzheng Xiong	none
Breaking the Communication-Privacy-Accuracy Tradeoff with f-Differential Privacy	Richeng Jin	none
k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy	Chenglin Fan	none
On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence	Achraf Azize	none
Offline Reinforcement Learning with Differential Privacy	Dan Qiao	none
Optimal Unbiased Randomizers for Regression with Label Differential Privacy	Ashwinkumar Badanidiyuru Varadaraja	none
Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy	Bonwoo Lee	none
Optimal privacy guarantees for a relaxed threat model: Addressing sub-optimal adversaries in differentially private machine learning	Georgios Kaissis	none
Differentially Private Approximate Near Neighbor Counting in High Dimensions	Alexandr Andoni	none
Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations	Edward Raff	none
Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy	Anastasiia Koloskova	none
Counting Distinct Elements Under Person-Level Differential Privacy	Thomas Steinke	none
Practical Differentially Private Hyperparameter Tuning with Subsampling	Antti Koskela	none
On Computing Pairwise Statistics with Local Differential Privacy	Badih Ghazi	none
Nearly Tight Bounds For Differentially Private Multiway Cut	Mina Dalirrooyfard	none
Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency	Xiyang Liu	none
User-Level Differential Privacy With Few Examples Per User	Badih Ghazi	none
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners	Rachel Redberg	none
Smooth Flipping Probability for Differential Private Sign Random Projection Methods	Ping Li	none
Sparsity-Preserving Differentially Private Training of Large Embedding Models	Badih Ghazi	none
Counting Distinct Elements in the Turnstile Model with Differential Privacy under Continual Observation	Palak Jain	none
GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces	Josephine Lamp	none

ACL

paper	authors	code
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe	Xiang Yue	url
A Customized Text Sanitization Mechanism with Differential Privacy	Sai Chen	url
DP-BART for Privatized Text Rewriting under Local Differential Privacy	Timour Igamberdiev	url
Federated Learning of Gboard Language Models with Differential Privacy	Zheng Xu	none

CVPR

paper	authors	code
Learning to Generate Image Embeddings with User-Level Differential Privacy	Zheng Xu	url
Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic Data	Huancheng Chen	none
Make Landscape Flatter in Differentially Private Federated Learning	Yifan Shi	none

ICML

paper	authors	code
The Saddle-Point Method in Differential Privacy	Wael Alghamdi	url
Differentially Private Distributed Bayesian Linear Regression with MCMC	Baris Alparslan	url
Differentially Private Optimization on Large Model at Small Cost	Zhiqi Bu	url
Streaming Submodular Maximization with Differential Privacy	Anamay Chaturvedi	url
Differentially Private Hierarchical Clustering with Provable Approximation Guarantees	Jacob Imola	url
The Test of Tests: A Framework for Differentially Private Hypothesis Testing	Zeki Kazan	url
Multi-Task Differential Privacy Under Distribution Skew	Walid Krichene	url
Differential Privacy has Bounded Impact on Fairness in Classification	Paul Mangold	url
Differentially Private Sharpness-Aware Training	Jinseong Park	url
Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models	Phillip Rust	url
Bayesian Estimation of Differential Privacy	Santiago Zanella-Beguelin	url
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards	Yulian Wu	none
Fully-Adaptive Composition in Differential Privacy	Justin Whitehouse	none
Concurrent Shuffle Differential Privacy Under Continual Observation	Jay Tenenbaum	none
Sketching Meets Differential Privacy: Fast Algorithm for Dynamic Kronecker Projection Maintenance	Zhao Song	none
DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning	Tomoya Murata	none
Online Local Differential Private Quantile Inference via Self-normalization	Yi Liu	none
The Price of Differential Privacy under Continual Observation	Palak Jain	none
Federated Linear Contextual Bandits with User-level Differential Privacy	Ruiquan Huang	none
Constant Matters: Fine-grained Error Bound on Differentially Private Continual Observation	Hendrik Fichtenberger	none
Beyond Uniform Lipschitz Condition in Differentially Private Optimization	Rudrajit Das	none
Differentially Private Stochastic Convex Optimization under a Quantile Loss Function	Du Chen	none
Label differential privacy and private training data release	Robert Istvan Busa-Fekete	none
Faster Rates of Convergence to Stationary Points in Differentially Private Optimization	Raman Arora	none

IJCAI

paper	authors	code
Fast and Differentially Private Fair Clustering	Junyoung Byun	none
Differentially Private Partial Set Cover with Applications to Facility Location	George Z. Li	none
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning	Canzhe Zhao	none
Model Conversion via Differentially Private Data-Free Distillation	Bochao Liu	none

期刊

AI

未查阅到相关文献。

TPAMI

paper	authors	code
Differentially Private Graph Neural Networks for Whole-Graph Classification	Tamara T. Mueller	url

IJCV

未查阅到相关文献。

JMLR

paper	authors	code
Generalized Linear Models in Non-interactive Local Differential Privacy with Public Data	Di Wang	none

数据库／数据挖掘／内容检索

会议

SIGMOD

paper	authors	code
Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation	Xiaochen Zhu	url

SIGKDD

paper	authors	code
How to DP-fy ML: A Practical Tutorial to Machine Learning with Differential Privacy	Natalia Ponomareva	none
PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation	Ruixuan Liu	none
Communication Efficient and Differentially Private Logistic Regression under the Distributed Setting	Ergute Bao	none

ICDE

paper	authors	code
Dynamic Private Task Assignment under Differential Privacy	Leilei Du	none
PrivNUD: Effective Range Query Processing under Local Differential Privacy	Ning Wang	none
Differential Privacy for Protecting Private Patterns in Data Streams	He Gu	none

SIGIR

无相关文献。

VLDB

无相关文献。

期刊

TODS

paper	authors	code
Efficient Bi-objective SQL Optimization for Enclaved Cloud Databases with Differentially Private Padding	Yaxing Chen

TOIS

无相关文献。

TKDE

paper	authors	code
Collecting Geospatial Data Under Local Differential Privacy With Improving Frequency Estimation	Daeyoung Hong	url
Global Combination and Clustering Based Differential Privacy Mixed Data Publishing	Lanxiang Chen	none
DP2-Pub: Differentially Private High-Dimensional Data Publication With Invariant Post Randomization	Honglu Jiang	none
Multi-Party Sequential Data Publishing Under Differential Privacy	Peng Tang	none
Local Differentially Private Fuzzy Counting in Stream Data Using Probabilistic Data Structures	Dinusha Vatsalan	none
DDRM: A Continual Frequency Estimation Mechanism With Local Differential Privacy	Qiao Xue	none
Collecting Preference Rankings Under Local Differential Privacy	Xiang Cheng	none
Differentially Private Demand Side Management for Incentivized Dynamic Pricing in Smart Grid	Muneeb Ul Hassan	none
Publishing Graphs Under Node Differential Privacy	Xun Jian	none
Private and Utility Enhanced Recommendations With Local Differential Privacy and Gaussian Mixture Model	Jeyamohan Neera	none
Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy	Chuan Ma	none
A Robust Game-Theoretical Federated Learning Framework With Joint Differential Privacy	Lefeng Zhang	none
Applications of Differential Privacy in Social Network Analysis: A Survey	Honglu Jiang	none

VLDBJ

paper	authors	code
Local dampening: differential privacy for non-numeric queries via local sensitivity	Victor A. E. Farias	none