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

post

page

attachment

revision

nav_menu_item

custom_css

customize_changeset

oembed_cache

user_request

wp_block

wp_template

wp_template_part

wp_global_styles

wp_navigation

wp_font_family

wp_font_face

acf-taxonomy

acf-post-type

acf-field-group

acf-field

ai1ec_event

exactmetrics_note

National Hotline 2018 California State Report
Graphics & InfographicsPublications

The data in this report represents signals and cases from January 1, 2018 through December 31, 2018 and is accurate as of July 25, 2019. Cases of trafficking may be ongoing or new information may revealed to the National Hotline over time. Consequen...Read More

National Hotline 2019 Mississippi State Report
Graphics & InfographicsPublications

The data in this report represents signals and cases from January 1, 2019 through December 31, 2019 and is accurate as of July 30, 2020. Cases of trafficking may be ongoing or new information may revealed to the National Hotline over time. Consequen...Read More

Transformative Technology for Migrant Workers: Opportunities, Challenges, and Risks, 2018
Guidance

Low-wage migrant workers commonly encounter abuses of their labour rights during the migration process. These abuses can include deceptive practices by recruitment agencies, underpayment, poor and unsafe working conditions, and other exploitative pr...Read More

TAGS:
Global Guidelines on the Prevention of Forced Labour Through Lifelong Learning and Skills Development Approaches
GuidanceStandards & Codes of Conduct

Quality education and training lays the foundation for the economic and social development not only of individuals but of society as a whole. Yet, many lack opportunities to acquire relevant knowledge and skills that would allow them to earn a decen...Read More