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  <title><![CDATA[PhD Defense by Yibin Yang]]></title>
  <body><![CDATA[<p><strong>Title:&nbsp;</strong>Efficient Zero-Knowledge Proofs for Real-World Programs</p><p><strong>Date:&nbsp;</strong>Wednesday, June 4, 2025</p><p><strong>Time:&nbsp;</strong>8:30am - 10:00am (ET)</p><p><strong>Locations:&nbsp;</strong>Coda C0915 “Atlantic”</p><p><strong>Zoom:&nbsp;</strong><a href="https://gatech.zoom.us/j/99605750255">https://gatech.zoom.us/j/99605750255</a> (Meeting ID: 996 0575 0255)</p><p>&nbsp;</p><p>Yibin Yang</p><p>Ph.D. Candidate in the School of Cybersecurity and Privacy</p><p>Georgia Institute of Technology</p><p>&nbsp;</p><p><strong>Dissertation Defense Committee:</strong></p><p>Prof. Vladimir Kolesnikov (Advisor, School of Cybersecurity and Privacy, Georgia Institute of Technology)</p><p>Prof. Alexandra Boldyreva (School of Cybersecurity and Privacy, Georgia Institute of Technology)</p><p>Prof. Carmit Hazay (Faculty of Engineering, Bar-Ilan University)</p><p>Prof. Joseph Jaeger (School of Cybersecurity and Privacy, Georgia Institute of Technology)</p><p>Prof. Taesoo Kim (School of Cybersecurity and Privacy, Georgia Institute of Technology)</p><p>&nbsp;</p><p><strong>Abstract:</strong></p><p>Zero-knowledge proofs (ZKPs) enable one party to prove the validity of a statement without revealing anything beyond its truth. While foundational in cryptography, existing ZKP systems often target circuit representations, leading to significant inefficiencies when applied to real-world programs written in high-level languages.&nbsp;</p><p>&nbsp;</p><p>This dissertation addresses these challenges by designing new cryptographic systems and algorithms that make ZKPs more practical and scalable. It presents:&nbsp;</p><ul><li><strong>ZK toolchains</strong> that execute off-the-shelf C programs efficiently in ZK; </li><li><strong>Constant-overhead ZK memory</strong> that reduces read-write costs to a minimal number of cryptographic operations; </li><li><strong>Advanced ZK branching techniques</strong> that enable scalable ZKPs for non-batched and batched disjunctions; </li><li><strong>A tight ZK CPU protocol</strong> that integrates memory and branching techniques for efficient CPU-step emulation inside ZK.&nbsp;</li></ul><p>&nbsp;</p><p>Together, these contributions pave the way for a new generation of high-performance ZKP toolchains that can scale to real-world applications.</p><p>&nbsp;</p>]]></body>
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