Lightning Talk: Using Data without Compromising Privacy

Lightning Talk: Using Data without Compromising Privacy

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  1 Using Data Without CompromisingPrivacy Gordon Haff Emerging Technology Evangelist @ghaff https://bitmason.blogspot.co m
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  @ghaff https://bitmason.blogspot.com 2 Zombies :Brains Machine Learning : Data
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  @ghaff https://bitmason.blogspot.com 3 Open datacan further accelerate the amount of available data in energy, telecoms, etc.
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  @ghaff https://bitmason.blogspot.com 4 But datacan be private and sensitive at the individual person or organization level
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  @ghaff https://bitmason.blogspot.com 5 “Traditional” anonymization? Removingpersonal data fields (e.g. names) Aggregation by “trusted” agency
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  @ghaff https://bitmason.blogspot.com 6 Differential Privacy Multi-PartyComputation Homomorphic Encryption
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  @ghaff https://bitmason.blogspot.com 7 Differential Privacy Widelyshare statistics over a set of data without revealing anything about individuals who may be in data Injects random data into a data set (in a mathematically rigorous way) to protect individual privacy https://www.accessnow.org/understanding- differential-privacy-matters-digital-rights/
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  @ghaff https://bitmason.blogspot.com 8 Multi-Party Computation “Sharingdata without sharing it” Allows collaborative analysis of multiple silo-ed datasets without trusting a central authority Essentially replacing a trusted third-party with a protocol by distributing shares of secrets
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  @ghaff https://bitmason.blogspot.com 9 Homomorphic Encryption Strongestvariant is FHE (arbitrary functions execute on encrypted data). Craig Gentry, 2009. Lets a third party perform complicated processing of data without being able to see it Lattice-based encryption schemes
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  @ghaff https://bitmason.blogspot.com 10 Further Reading https://research.redhat.com/quarterly/
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