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dc.contributor.authorSun, Ling
dc.contributor.authorPreneel, Bart
dc.contributor.authorWang, Wei
dc.contributor.authorWang, Meiqin
dc.date.accessioned2022-11-17T16:16:26Z
dc.date.available2022-08-28T02:37:03Z
dc.date.available2022-11-17T16:16:26Z
dc.date.issued2022
dc.identifier.isbn978-3-031-07081-5
dc.identifier.issn0302-9743
dc.identifier.otherWOS:000832384400005
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40317.2
dc.sourceWOS
dc.titleA Greater GIFT: Strengthening GIFT Against Statistical Cryptanalysis
dc.typeProceedings paper
dc.contributor.imecauthorPreneel, Bart
dc.identifier.doi10.1007/978-3-031-07082-2_5
dc.identifier.eisbn978-3-031-07082-2
dc.source.numberofpages30
dc.source.peerreviewyes
dc.source.beginpage115
dc.source.endpage144
dc.source.conference41st Annual International Conference on the Theory and Applications of Cryptographic Techniques (Eurocrypt)
dc.source.conferencedateMAY 30-JUN 03, 2022
dc.source.conferencelocationTrondheim
dc.source.journalna
dc.source.volume13277
imec.availabilityPublished - imec
dc.description.wosFundingTextThe authors would like to thank the anonymous reviewers for their valuable comments and suggestions to improve the quality of the paper. The research leading to these results has received funding from the National Natural Science Foundation of China (Grant No. 62002201, Grant No. 62032014), the National Key Research and Development Program of China (Grant No. 2018YFA0704702), and the Major Basic Research Project of Natural Science Foundation of Shandong Province, China (Grant No. ZR202010220025). Bart Preneel was supported by CyberSecurity Research Flanders with reference number VR20192203.


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