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  <title><![CDATA[PhD Defense by Eric Crockett]]></title>
  <body><![CDATA[<p>Title: Simply Safe Lattice Cryptography<br />
Eric Crockett<br />
School of Computer Science<br />
College of Computing<br />
Georgia Institute of Technology<br />
<br />
Date:&nbsp;Wednesday, July, 26th, 2017<br />
Time: 12&nbsp;PM to 2 PM EST<br />
Location: Klaus 2100 (Georgia Tech)<br />
<br />
Committee:<br />
----------------<br />
Dr. Chris Peikert (Advisor, Computer Science and Engineering, University of Michigan)<br />
Dr. Sasha Boldreva (School of Computer Science, Georgia Tech)<br />
Dr. Craig Costello (Microsoft Research)<br />
Dr. J. Alex Halderman (Computer Science and Engineering, University of Michigan)<br />
Dr. Richard Lipton (School of Computer Science, Georgia Tech)<br />
<br />
Abstract:<br />
-------------</p>

<p>&nbsp;</p>

<p>Lattice cryptography has many compelling features, like security under worst-case hardness assumptions, apparent security against quantum attacks, efficiency and parallelism, and powerful constructions like fully homomorphic encryption. While standard constructions such as lattice-based key exchange are starting to be deployed in real-world scenarios, the most powerful lattice cryptosystems are still limited to research prototypes. This is due in part to the difficulty of <em>implementing</em>, <em>instantiating</em>, and <em>using </em>these schemes.</p>

<p>&nbsp;</p>

<p>In this work we present a collection of tools to facilitate broader use of lattice cryptography by improving accessibility and usability. The foundation of this work is &Lambda;∘&lambda;, a general-purpose software framework for lattice cryptography. The &Lambda;∘&lambda; library has several features which distinguish it from prior implementations, including <em>high-level abstractions</em> for lattice operations, <em>advanced functionality</em> needed for applications like homomorphic encryption, and <em>safe interfaces</em>.</p>

<p>&nbsp;</p>

<p>We also introduce ALCHEMY, a <em>domain-specific language</em> and <em>compiler </em>for homomorphic computations. In existing implementations of homomorphic encryption, users must manually represent a desired plaintext computation as a much more complex sequence of operations on ciphertexts. ALCHEMY automates most of the steps in this process, which dramatically reduces the expertise needed to use homomorphic encryption.</p>
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