Privacy Engineering
If you like applying Privacy Engineering, every challenge here gives you a chance to practice it on a real industry brief.
- CodeSeniorNew
Assess Secure Cross-Bank Fraud Computation for a Four-Bank Consortium
Using the de-identified situation in the consortium case file and the two synthetic per-bank datasets (the bank suspicious-account lists and the merchant fraud-marker tallies), …
- Secure Computation
- Mpc
- Cryptography
Open coursework - CodeIntermediateNew
Implement Federated Learning for a Government Statistics Office
Use Flower as the FL framework. Simulate 8 municipalities each with a partition of a synthetic wage dataset (provided, 1M rows, EU-Labour-Force-Survey schema). Train a gradient-…
- Federated Learning
- Differential Privacy
- Python Programming
Privacy-Enhancing Technologies - AnalysisBeginnerNew
GDPR Article 25 Privacy-By-Design Review for a HealthTech API
Review the API specification (OpenAPI 3, provided, 42 endpoints). For each endpoint: identify data categories handled (special-category health data, identifiers, traffic data), …
- GDPR
- Privacy By Design
- API Design
Privacy-Enhancing Technologies - CodeIntermediateNew
Add Differential Privacy to a Mental-Health App's Analytics Dashboard
Wrap the analytics module in `analytics_module.py` (provided) with a differential-privacy layer built on OpenDP. Implement epsilon-delta accounting: add Laplace noise to counts …
- Differential Privacy
- Privacy Budget
- Python Programming
Open coursework Practice your coursework on real scenarios.
Every challenge is shaped from real-world context — not generic exercises. The work mirrors what your degree prepares you for.
Why Ewance
- DesignIntermediateNew
Threat-Model and Hardening Proposal for a Whistleblower Intake
Using the current-stack dossier and the CTO mandate brief, build a threat model of the existing intake using the LINDDUN privacy-threat framework (linkability, identifiability, …
- Anonymous Communication
- Threat Modeling
- Tor
Open coursework
How it works
From brief to credential, in six steps.
Step 01
Browse challenges aligned to your studies.
Step 02
Accept the one that fits your goals.
Step 03
Work through it with AI Copilot guidance.
Step 04
Submit for structured evaluation.
Step 05
Earn a verified credential.
Step 06
Add it to LinkedIn with one click.
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