Major Project (CO440)

This repository will compile the work done so far by us for fulfilment of CO440: Major Project

Papers we'll be studying for Literature Review

• No Free Lunch in Data Privacy
• Capacity Bounded DP
• Computational Differential Privacy
• Price of DP for Online Learning
• Bounding User Contributions

Other Resources

• Differential Privacy (C Dwork) (2011)
• The algorithmic foundations of differential privacy
• Deep Learning with Differential Privacy (2016)
• Differential Privacy - Simply Explained (Video)
• Differential Privacy - Lecture 1 (Video)
• The Definition of Differential Privacy - Cynthia Dwork (Video)
• Differential Privacy and Applications

Feature Selection using Differential Privacy

• Differentially Private Feature Selection for Data Mining
• Differentially Private Feature Selection
• Correlated Differential Privacy: Feature Selection in Machine Learning
• Using Feature Selection to Improve the Utility of Differentially Private Data Publishing
• Differentially private feature selection under MapReduce framework

Assumptions of Differential Privacy

• No Free Lunch in Data Privacy

Relaxed versions of Differential Privacy

• Capacity Bounded Differential Privacy, NeuRIPS 2019
• Computational Differential Privacy

Exploratory areas

• Imperfect Randomness CRYPTO 2015
• Multiparty Computation NIPS 2015
• Rank Aggregation
• Equilibrium Computation
• Matrix Mechanism VLDB 2015
• Batch / Linear / Range Query Optimisation TODS 2015
• Real-time Aggregate Monitoring TKDE 2014
• Control and Network Systems CDC 2016
• Record Matching / Linkage EDBT 2010
• Graph Structures RoEduNet 2013
• Random Matrix Approach JACM 2013 PODS 2010
• Spectral Graph Analysis PAKDD 2013
• Johnson-Lindenstrauss Transform FOCS 2012

Only representative papers for preliminary reading have been added here. Feel free to explore.