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MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation
Speaker:
Sam Kumar
, UC Berkeley
Date: Wednesday, September 29, 2021
Time: 4:00 PM to 5:00 PM Note: all times are in the Eastern Time Zone
Public: Yes
Location: https://mit.zoom.us/j/97527284254
Event Type: Seminar
Room Description:
Host: Srinivas Devadas
Contact: Kyle L Hogan, klhogan@csail.mit.edu
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Speaker URL: None
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Reminders to:
seminars@csail.mit.edu, samkumar@cs.berkeley.edu
Reminder Subject:
TALK: MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation
Abstract:
Secure Computation (SC) is a family of cryptographic primitives for computing on encrypted data in single-party and multi-party settings. SC is being increasingly adopted by industry for a variety of applications. A significant obstacle to using SC for practical applications is the memory overhead of the underlying cryptography. We develop MAGE, an execution engine for SC that efficiently runs SC computations that do not fit in memory. We observe that, due to their intended security guarantees, SC schemes are inherently oblivious—their memory access patterns are independent of the input data. Using this property, MAGE calculates the memory access pattern ahead of time and uses it to produce a memory management plan. This formulation of memory management, which we call memory programming, is a generalization of paging that allows MAGE to provide a highly efficient virtual memory abstraction for SC. MAGE outperforms the OS virtual memory system by up to an order of magnitude, and in many cases, runs SC computations that do not fit in memory at nearly the same speed as if the underlying machines had unbounded physical memory to fit the entire computation.
A paper describing this research appeared at OSDI 2021, where it received a Jay Lepreau Best Paper Award. The paper is available at https://people.eecs.berkeley.edu/~samkumar/papers/mage_osdi2021.pdf.
Bio:
Sam is a fifth-year PhD student at UC Berkeley, advised by David Culler and Raluca Ada Popa. He is interested broadly in systems, networking, and security. Sam's research focuses on using system design to manage the overhead of using cryptography. He is supported by an NSF GRFP fellowship. More information is available at his website: https://people.eecs.berkeley.edu/~samkumar/.
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Meeting ID: 975 2728 4254
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Research Areas:
Security & Cryptography
Impact Areas:
Cybersecurity
Created by Kyle L Hogan at Thursday, September 23, 2021 at 12:34 PM.