Differential Privacy
What is Differential Privacy?
A mathematical framework for sharing information about a dataset while protecting the privacy of individual records. Differential privacy adds calibrated noise to data or query results to prevent identification of individuals.
Terms that appear alongside differential privacy
Each of these is named in at least one of the same controls as differential privacy. The number is how many controls name both.
- gdpr 7 shared controls
- federated learning 6 shared controls
- encryption 5 shared controls
- pseudonymisation 5 shared controls
- data minimisation 5 shared controls
- nist 4 shared controls
- anonymisation 4 shared controls
- consent 4 shared controls
Frameworks that govern differential privacy
What the standards actually require on differential privacy
Requirements naming differential privacy across 6 standards, quoted from the control text.
Differential privacy provides mathematically bounded privacy guarantees (parameterised by epsilon and delta) by adding calibrated noise to query results or to released data, controlling the influence of any single record on the output.
ENISA-DPE-3.3 · Differential privacy →Prevent disclosure of personally identifiable information by adding non-deterministic noise to the results of mathematical operations before the results are reported.
NIST800-SI-19(6) · SI-19(6) De-identification | Differential Privacy →Section 2 of KOSA establishes the knowledge + inference standard for identifying minor users while balancing privacy and over-verification concerns.
KOSA-Age-Verification-Inference-Section2-Knowledge-Standard-Reasonable-Steps-Age-Inference-Methods-Privacy-Preserving · KOSA Age Verification + Inference + Section 2 Knowledge Standard + Reasonable Steps + Age Inference Methods + Privacy-Preserving + Cohort Estimation + Facial Age Estimation + ID-Based + Parental Confirmation + Avoid Over-Verification →HL7 FHIR Resilience + Privacy + SMART Health Cards. RATE LIMITING AND ANTI-ABUSE (FHIR-SEC-14) - API rate limiting + throttling + DDoS protection + abuse detection + IP/Subject + Token-based limits + sliding window + token bucket + sectoral best practices;
HL7-FHIR-Resilience-RateLimit-CORS-AntiAbuse-SmartHealth · HL7 FHIR Resilience - Rate Limiting + Anti-Abuse + CORS + SMART Health Cards + De-identification + Privacy →Security Dimension 8 Privacy per X.805 Clause 6.8: Privacy shields what could be inferred by watching activity on the network, for example websites visited by users + their geographic location + the IP addresses and DNS names assigned to devices inside a provi...
X805-Dim8-Privacy-Identification-Network-Activity-Personal-Information-Confidentiality · ITU-T X.805 Security Dimension 8 - Privacy + Identification of Network Activity + Personal Information Confidentiality + Subscriber Anonymity + Pseudonymity + Anti-Tracking + Location Privacy + Data Minimization + GDPR/CCPA Alignment →Section 34 of the Jamaica Data Protection Act 2020 establishes Privacy by Design + Privacy by Default + and Data Protection Impact Assessment (DPIA) requirements.
JM-DPA2020-Privacy-by-Design-Default-Sec34-Engineering-Data-Protection-Impact-Assessment-DPIA-Risk-Based · Jamaica DPA 2020 Privacy by Design + Privacy by Default + Section 34 + Data Protection Impact Assessment (DPIA) + Risk-Based + High-Risk Processing + Prior Consultation + Privacy Engineering →Questions people ask about differential privacy
What is Differential Privacy?
Why is Differential Privacy important for compliance?
Which compliance frameworks address Differential Privacy?
Where can I learn more about Differential Privacy?
See how Differential Privacy applies across compliance frameworks
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