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1
Introduction
2
Takeaways
3
Homomorphic Encryption
4
Rhythmatic Circuits
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Bad Performance
6
Image Processing
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Image Sharpening
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Symbolic Execution
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Bulk Manipulation
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Multivalued Expressions
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SymbolicExecution
12
Water
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Open Source
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Julia Dynamic Features
15
Using Crucible
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Architecture
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Questions
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What we learned
19
No free lunches
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Large circuits
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Limitations
22
Grackle
Description:
Explore the world of Homomorphic Encryption (HE) in this 39-minute conference talk from Strange Loop. Dive into Ramparts, a compiler that translates Julia code into a form suitable for HE computation, enabling secure data processing without decryption. Learn how this innovative approach allows programmers and data scientists to leverage HE without compromising their familiar tools. Discover the challenges of HE's unique computation model and how Ramparts addresses them. Examine practical applications in image processing, including image sharpening techniques. Understand the role of symbolic execution, bulk manipulation, and multivalued expressions in this context. Gain insights into the architecture, limitations, and lessons learned from developing Ramparts. Explore the potential of open-source tools and Julia's dynamic features in advancing secure computation.

Your Secrets Are Safe with Julia - A Compiler for Secure Computation

Strange Loop Conference
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