Case records on identified 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 propose new methods to anonymize, publish, and explore data on identified victims of trafficking, implemented as a single pipeline producing three data artifacts: synthetic microdata modelled on sensitive case records and released in their place, mitigating the privacy risk that traffickers might link distinctive combinations of attributes in published records to known victims; aggregate data summarizing the precomputed frequencies of all short attribute combinations, mitigating the utility risk that synthetic data might misrepresent statistics needed for official reporting; and visual analytics interfaces for parallel exploration and evaluation of synthetic data representations and sensitive data aggregates, mitigating the accessibility risk that privacy mechanisms or analysis tools might not be understandable or usable by all stakeholders. Central to our mitigation of these risks is the notion of k-synthetic data, which we generate through a distributed machine learning pipeline. k-synthetic data preserves privacy by ensuring that longer combinations of attributes are not rare in the sensitive dataset and thus potentially identifying; it preserves utility by ensuring that shorter combinations of attributes are both present and frequent in the sensitive dataset; and it improves accessibility by being easy to explain and apply. We present our work as a design study motivated by the goal of creating a new privacy-preserving data platform for the Counter-Trafficking Data Collaborative (CTDC), transforming how the world’s largest database of identified victims is made available for global collaboration against human trafficking.

Design of a Privacy-Preserving Data Platform for Collaboration Against Human Trafficking - Microsoft, May 2020 DOWNLOAD














Responsible finance in the cocoa supply chain in Côte d’Ivoire. The leverage role of the financial sector in eliminating child labour.
Good Practices

This brief is based on a study conducted as part of the ACCEL Africa Project, a regional project implemented by the ILO, funded by the Government of the Netherlands, and focusing on the issue of child labour in selected supply chains in six countrie...Read More

Regional Overview: Combating the Sexual Exploitation of Children in South Asia

This report maps sexual exploitation of children in travel and tourism (SECTT), online child sexual exploitation (OCSE), trafficking of children for sexual purposes, sexual exploitation of children through prostitution, child early and forced marria...Read More

Responsible Recruitment – Addressing Gaps in Protections for Migrant Workers

This report is the second of two reports developed by IHRB in cooperation with Equidem Research & Consulting. Building on "Responsible Recruitment: Remediating Worker-Paid Recruitment Fees", this publication offers practical guidance to businesse...Read More

Child Rights and Security Checklist
GuidanceGood Practices

The checklist identifies 14 criteria for companies and governments to assess the extent to which their security frameworks are attentive to and protective of children’s rights. The check- list indicates whether each criterion is applicable to compa...Read More

TAGS: Global