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The 5 Core Environments for Data Anonymization - Coggle Diagram
The 5 Core Environments for Data Anonymization
Data Publishing and Sharing
Privacy-Preserving Data Analysis
Standard Machine Learning
Privacy-Preserving Machine Learning (PPML)
Edge Computing and IoT Privacy
Protection technology
k-anonymity, l-diversity and t-closeness
Federal Learning
Differentially-Private Stochastic Gradient Descent
Homomorphic Encryption / MPC
Differential privacy
TEE (Trusted Execution Environment)
Local differential privacy
Main types of attacks
Model Inversion
Property Inference
Membership Inference Attack
Colluding Attack
Aggregation Attack
Side-channel
Differencing Attack
Data Poisoning
Linkage Attack
Re-identification