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   <dim:field mdschema="dc" element="contributor" qualifier="advisor">Vaikuntanathan, Vinod</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="advisor">Kalai, Yael</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author">Yang, Lisa L.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2022-02-07T15:21:45Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="issued">2021-09</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="submitted">2021-09-21T19:54:13.671Z</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/140059</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract">In this work, we construct an updatable and unambiguous delegation scheme based on the decisional assumption on bilinear groups introduced by Kalai, Paneth and Yang [STOC 2019]. Using this delegation scheme, we show PPAD-hardness (and hence the hardness of computing Nash equilibria) based on the quasi-polynomial hardness of this bilinear group assumption and any hard language that is decidable in quasi-polynomial time and polynomial space.&#xd;
&#xd;
The delegation scheme is for super-polynomial time deterministic computations and is publicly verifiable and non-interactive in the common reference string (CRS) model. It is updatable meaning that given a proof for the statement that a Turing machine reaches some configuration C in T steps, it is efficient to update it into a proof for the statement that the machine reaches the next configuration C' in T+1 steps. It is unambiguous meaning that it is hard to produce two different proofs for the same statement.</dim:field>
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   <dim:field mdschema="dc" element="publisher">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights">In Copyright - Educational Use Permitted</dim:field>
   <dim:field mdschema="dc" element="rights">Copyright MIT</dim:field>
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   <dim:field mdschema="dc" element="title">Delegation with Updatable Unambiguous Proofs and PPAD-Hardness</dim:field>
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   <dim:field mdschema="thesis" element="degree" qualifier="name">Master of Science in Electrical Engineering and Computer Science</dim:field>
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   	&lt;Title>Delegation with Updatable Unambiguous Proofs and PPAD-Hardness&lt;/Title>
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   	&lt;PublicationDate>2021-09&lt;/PublicationDate>
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        	&lt;DisplayName>Yang, Lisa L.&lt;/DisplayName>
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            &lt;DisplayName>Massachusetts Institute of Technology&lt;/DisplayName>
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   	&lt;Abstract>In this work, we construct an updatable and unambiguous delegation scheme based on the decisional assumption on bilinear groups introduced by Kalai, Paneth and Yang [STOC 2019]. Using this delegation scheme, we show PPAD-hardness (and hence the hardness of computing Nash equilibria) based on the quasi-polynomial hardness of this bilinear group assumption and any hard language that is decidable in quasi-polynomial time and polynomial space.&#xd;
&#xd;
The delegation scheme is for super-polynomial time deterministic computations and is publicly verifiable and non-interactive in the common reference string (CRS) model. It is updatable meaning that given a proof for the statement that a Turing machine reaches some configuration C in T steps, it is efficient to update it into a proof for the statement that the machine reaches the next configuration C&amp;apos; in T+1 steps. It is unambiguous meaning that it is hard to produce two different proofs for the same statement.&lt;/Abstract>
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