يعرض 1 - 12 نتائج من 12 نتيجة بحث عن '"du Pin Calmon, Flavio"', وقت الاستعلام: 0.45s تنقيح النتائج
  1. 1
    Academic Journal
  2. 2
    Academic Journal

    المساهمون: National Science Foundation, Singapore Ministry of Education AcRF Tier 1

    المصدر: IEEE Transactions on Information Forensics and Security ; volume 13, issue 4, page 1058-1071 ; ISSN 1556-6013 1556-6021

  3. 3
    Conference

    المساهمون: Cloud, Jason, Du Pin Calmon, Flavio, Zeng, Weifei, Pau, Giovanni, Zeger, Linda M., Mã©dard, Muriel

    وصف الملف: ELETTRONICO

    Relation: info:eu-repo/semantics/altIdentifier/isbn/9781467361873; info:eu-repo/semantics/altIdentifier/wos/WOS:000330585400272; ispartofbook:IEEE Vehicular Technology Conference; 2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013; firstpage:1; lastpage:5; numberofpages:5; journal:IEEE VTS . VEHICULAR TECHNOLOGY CONFERENCE; http://hdl.handle.net/11585/619274; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84893262609

  4. 4
    Conference
  5. 5
    Conference
  6. 6
    Academic Journal

    وصف الملف: text

    Relation: https://mural.maynoothuniversity.ie/6759/1/KD-Brute-force-security.pdf; Christiansen, Mark M. and Duffy, Ken R. and du Pin Calmon, Flavio and Medard, Muriel (2015) Multi-user guesswork and brute force security. IEEE Transactions on Information Theory, 61 (12). pp. 6876-6886. ISSN 0018-9448

  7. 7
    Academic Journal
  8. 8
    Academic Journal
  9. 9
    Conference

    المصدر: 2013 Asilomar Conference on Signals, Systems & Computers; 2013, p51-55, 5p

  10. 10
    Conference

    المصدر: 2013 IEEE International Symposium on Information Theory; 2013, p1257-1261, 5p

  11. 11
    Dissertation/ Thesis

    المؤلفون: Zhong, Aoxiao

    المساهمون: Li, Quanzheng Q, Li, Na N, du Pin Calmon, Flavio F

    وصف الملف: application/pdf

    Relation: Zhong, Aoxiao. 2024. Towards Practical Applications of Machine Learning in Healthcare with Federated Learning. Doctoral dissertation, Harvard University Graduate School of Arts and Sciences.; https://nrs.harvard.edu/URN-3:HUL.INSTREPOS:37379078; orcid:0000-0002-7584-5476

  12. 12
    Dissertation/ Thesis

    المؤلفون: Agrawal, Rohit

    المساهمون: Vadhan, Salil P, Barak, Boaz, du Pin Calmon, Flavio, Dwork, Cynthia

    مصطلحات موضوعية: Computer science

    وصف الملف: application/pdf

    Relation: Agrawal, Rohit. 2020. Deriving Indistinguishability from Unpredictability: Tools and Applications in Pseudorandomness. Doctoral dissertation, Harvard University Graduate School of Arts and Sciences.; https://nrs.harvard.edu/URN-3:HUL.INSTREPOS:37368849; orcid:0000-0001-5563-7402