[{"data":1,"prerenderedAt":66},["ShallowReactive",2],{"news-cybernetica-published-research-report-on-computation-protocols-using-secret-sharing":3},{"articles":4},[5],{"documentId":6,"title":7,"slug":8,"createdAt":9,"publishingDate":10,"description":10,"content":11,"quote":10,"postAuthor":10,"thumbnail":12,"relatedProducts":10,"industry":10,"relatedPosts":63,"metaData":64},"wo6loqqa67z8aw0pcyubvwma","Cybernetica published research report on computation protocols using secret sharing","cybernetica-published-research-report-on-computation-protocols-using-secret-sharing","2021-07-07T13:59:51.000Z",null,"Last week, the Cybernetica research reports series continued with a new report focusing on methods for secure multiparty computation. The report, authored by Sander Siim and Dan Bogdanov, explores practical approaches for implementing complex privacy-preserving computational protocols more efficiently. Their work builds on Cybernetica's long-term research and experience in privacy-preserving computation technology. \n\nUsing the method described in the report, computations described in an ordinary high-level programming language can be transformed directly into protocols that work on secret-shared data. This enables highly complex protocols to be built easily for computing platforms based on secret sharing. The proposed solution has been prototyped on [Sharemind](https:\u002F\u002Fcyber.ee\u002Fproducts\u002Fsharemind-mpc), a privacy-preserving database and application platform developed by Cybernetica.\n\nRead the full report: \n- [A general mechanism for implementing secure operations on secret shared data](https:\u002F\u002Fcyber.ee\u002Fuploads\u002FT_4_21_A_general_mechanism_for_implementing_secure_operations_on_secret_shared_data_f35841b317.pdf)\n",{"featuredImage":13},{"documentId":14,"url":15,"alternativeText":16,"width":17,"height":18,"formats":19,"mime":24},"yrh7sk8aa2i82xo51eytm7ua","\u002Fuploads\u002Ffotis_fotopoulos_Du_H_Ko_V44prg_unsplash_c4af5046d4.jpg","Computer screens",6000,4000,{"large":20,"small":29,"medium":36,"xlarge":42,"xsmall":49,"thumbnail":56},{"ext":21,"url":22,"hash":23,"mime":24,"name":25,"path":10,"size":26,"width":27,"height":28},".jpg","\u002Fuploads\u002Flarge_fotis_fotopoulos_Du_H_Ko_V44prg_unsplash_c4af5046d4.jpg","large_fotis_fotopoulos_Du_H_Ko_V44prg_unsplash_c4af5046d4","image\u002Fjpeg","large_fotis-fotopoulos-DuHKoV44prg-unsplash.jpg",60.12,1000,667,{"ext":21,"url":30,"hash":31,"mime":24,"name":32,"path":10,"size":33,"width":34,"height":35},"\u002Fuploads\u002Fsmall_fotis_fotopoulos_Du_H_Ko_V44prg_unsplash_c4af5046d4.jpg","small_fotis_fotopoulos_Du_H_Ko_V44prg_unsplash_c4af5046d4","small_fotis-fotopoulos-DuHKoV44prg-unsplash.jpg",22.7,500,333,{"ext":21,"url":37,"hash":38,"mime":24,"name":39,"path":10,"size":40,"width":41,"height":34},"\u002Fuploads\u002Fmedium_fotis_fotopoulos_Du_H_Ko_V44prg_unsplash_c4af5046d4.jpg","medium_fotis_fotopoulos_Du_H_Ko_V44prg_unsplash_c4af5046d4","medium_fotis-fotopoulos-DuHKoV44prg-unsplash.jpg",39.64,750,{"ext":21,"url":43,"hash":44,"mime":24,"name":45,"path":10,"size":46,"width":47,"height":48},"\u002Fuploads\u002Fxlarge_fotis_fotopoulos_Du_H_Ko_V44prg_unsplash_c4af5046d4.jpg","xlarge_fotis_fotopoulos_Du_H_Ko_V44prg_unsplash_c4af5046d4","xlarge_fotis-fotopoulos-DuHKoV44prg-unsplash.jpg",171.04,1920,1280,{"ext":21,"url":50,"hash":51,"mime":24,"name":52,"path":10,"size":53,"width":54,"height":55},"\u002Fuploads\u002Fxsmall_fotis_fotopoulos_Du_H_Ko_V44prg_unsplash_c4af5046d4.jpg","xsmall_fotis_fotopoulos_Du_H_Ko_V44prg_unsplash_c4af5046d4","xsmall_fotis-fotopoulos-DuHKoV44prg-unsplash.jpg",1.44,64,43,{"ext":21,"url":57,"hash":58,"mime":24,"name":59,"path":10,"size":60,"width":61,"height":62},"\u002Fuploads\u002Fthumbnail_fotis_fotopoulos_Du_H_Ko_V44prg_unsplash_c4af5046d4.jpg","thumbnail_fotis_fotopoulos_Du_H_Ko_V44prg_unsplash_c4af5046d4","thumbnail_fotis-fotopoulos-DuHKoV44prg-unsplash.jpg",8.03,234,156,[],{"metaTitle":65,"metaDescription":10,"shareImage":10},"Research report on computation protocols using secret sharing",1788355391222]