  Case records on victims of human trafficking are highly sensitive, yet the
ability to share such data is critical to evidence-based practice and policy
development across government, business, and civil society. We present new
methods to anonymize, publish, and explore such data, implemented as a pipeline
generating three artifacts: (1) synthetic data mitigating the privacy risk that
published attribute combinations might be linked to known individuals or
groups; (2) aggregate data mitigating the utility risk that synthetic data
might misrepresent statistics needed for official reporting; and (3) visual
analytics interfaces to both datasets mitigating the accessibility risk that
privacy mechanisms or analysis tools might not be understandable and usable by
all stakeholders. We present our work as a design study motivated by the goal
of transforming how the world's largest database of identified victims is made
available for global collaboration against human trafficking.
