concept:privacy-threat-modeling
Privacy Threat Modeling
Privacy Threat Modeling in the context of production machine-learning systems.
Lessons
Formal explanations, examples, simulations, and checkpoints.
Governance, fairness, privacy & security
Privacy minimization, retention, federated learning, DP
Use privacy minimization, retention, federated learning, dp to move the responsible ml production brief toward a defensible release.
Governance, fairness, privacy & securityPoisoning, evasion, extraction, and LLM threats
Use poisoning, evasion, extraction, and llm threats to move the responsible ml production brief toward a defensible release.
Governance, fairness, privacy & securityRed teams, human oversight, audit, and response
Use red teams, human oversight, audit, and response to move the responsible ml production brief toward a defensible release.
Courses & assignments
Dependency-authoritative learning units.
Casebook
Reported facts and course reconstructions.