Differential Privacy in CCS, S&P, NDSS, USENIX, Infocom from 2015-2019 (some of them are from 2020)
Analyzing Subgraph Statistics from Extended Local Views with Decentralized Differential Privacy
Different is Good: Detecting the Use of Uninitialized Variables through Differential Replay
Differentially Private Nonparametric Hypothesis Testing
Securely Sampling Biased Coins with Applications to Differential Privacy
Utility-aware synthesis of differentially private and attack-resilient location traces
CALM: Consistent Adaptive Local Marginal for Marginal Release under Local Differential Privacy
MVG Mechanism: Differential Privacy under Matrix-Valued Query
Tight on Budget? Tight Bounds for r-Fold Approximate Differential Privacy
Toward Detecting Violations of Differential Privacy
Secure Computation with Differentially Private Access Patterns
DP-Finder: Finding Differential Privacy Violations by Sampling and Optimization
Generating Synthetic Decentralized Social Graphs with Local Differential Privacy
Stacco: Differentially Analyzing Side-Channel Traces for Detecting SSL/TLS Vulnerabilities in Secure Enclaves
PeGaSus: Data-Adaptive Differentially Private Stream Processing
Composing Differential Privacy and Secure Computation: A case study on scaling private record linkage
Advanced Probabilistic Couplings for Differential Privacy
Deep Learning with Differential Privacy
Differential Privacy as a Mutual Information Constraint
Differentially Private Bayesian Programming
DPSense: Differentially Private Crowdsourced Spectrum Sensing
A EpicRec: Towards Practical Differentially Private Framework for Personalized Recommendation
Heavy Hitter Estimation over Set-Valued Data with Local Differential Privacy
SFADiff: Automated Evasion Attacks and Fingerprinting Using Blackbox Differential Automata Learning
Utility-Optimized Local Differential Privacy Mechanisms for Distribution Estimation.
Evaluating Differentially Private Machine Learning in Practice
Locally Differentially Private Protocols for Frequency Estimation.
BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model
SoK: Differential Privacy as a Causal Property
The Value of Collaboration in Convex Machine Learning with Differential Privacy
Towards Effective Differential Privacy Communication for Users’ Data Sharing Decision and Comprehension
A Programming Framework for Differential Privacy with Accuracy Concentration Bounds
PrivKV: Key-Value Data Collection with Local Differential Privacy
Differentially Private Model Publishing for Deep Learning
Towards Practical Differentially Private Convex Optimization
Certified Robustness to Adversarial Examples with Differential Privacy
Locally Differentially Private Frequent Itemset Mining
Adversarial Classification Under Differential Privacy
Locally Differentially Private Frequency Estimation with Consistency
Secure Sublinear Time Differentially Private Median Computation
Differentially-Private Deep Learning from an optimization Perspective.
Calibrate: Frequency Estimation and Heavy Hitter Identification with Local Differential Privacy via Incorporating Prior Knowledge
PHDP: Preserving Persistent Homology in Differentially Private Graph Publications
Differentially-Private Two-Party Egocentric Betweenness Centrality.
PrivSet: Set-Valued Data Analyses with Locale Differential Privacy.
InPrivate Digging: Enabling Tree-based Distributed Data Mining with Differential Privacy.
Towards practical personalized recommendation with multi-level differential privacy controls.
Cost of differential privacy in demand reporting for smart grid economic dispatch.
RescueDP: Real-time spatio-temporal crowd-sourced data publishing with differential privacy.