A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
Exploring Design and Governance Challenges in the Development of Privacy-Preserving Computation
[article]
2021
pre-print
Homomorphic encryption, secure multi-party computation, and differential privacy are part of an emerging class of Privacy Enhancing Technologies which share a common promise: to preserve privacy whilst also obtaining the benefits of computational analysis. Due to their relative novelty, complexity, and opacity, these technologies provoke a variety of novel questions for design and governance. We interviewed researchers, developers, industry leaders, policymakers, and designers involved in their
doi:10.1145/3411764.3445677
arXiv:2101.08048v1
fatcat:kggifqe6drdxngsry46o6kmwgy