抖音：2022年隐私计算法律适用规则报告（64页）.pdf

1、20222022?1?2?3?070909101111131414151717192023242425270107(二)?1.?2.?3.?(三)?1.2.?3.?(四)?1.?2.?2929303133333436383839415541434345454749505052?7?8?9?10?11?12?13?14?15?16?17?18?19?20?21?32?33?23?24?25?26?27?28?29?30?31?32?33?34?35?36?37?38?39?40?41?42?43?44?45?46?47?48?49?50?51?52?53?ID?54?31255?56?57?58

2、?https:/ McMahan&Daniel Ramage,Federated Learning:Collaborative Machine Learning without Centralized Training Data,Google AI Blog,April 6,20172.Chen Zhang,et al.,A Survey on Federated Learning,Knowledge-Based Systems,Volume 216,20213.Chuan Zhao,et al.,Secure Multi-Party Computation:Theory,Practice a

3、nd Applications,Information Sciences,Volume 476,20194.Craig Gentry,Fully Homomorphic Encryption Using Ideal Lattices(PDF),ACM Symposium on Theory of Computing(STOC),May 20095.Damgard I,et al.,Adaptively Secure Multi-Party Computation from LWE(via Equivocal FHE),Public-Key CryptographyPKC 2016,20166.

4、F.Chen,et al.,PRINCESS:Privacy-protecting Rare disease International Network Collaboration via Encryption through Software Guard Extensions,Bioinformatics,Vol.33,Issue 6,March 15,20177.Gerald Spindler,Philipp Schmechel,Personal Data and Encryption in the European General Data Protection Regulation,J

5、IPITEC,20168.Gentry C&Halevi S,Fully Homomorphic Encryption without Squashing Using Depth-3 Arithmetic Circuits,2011 IEEE 52nd Annual Symposium on Foundations of Computer Science,20119.GlobalPlatform,GlobalPlatform Technology-TEE System Architecture-Version 1.2,November 201810.?https:/ico.org.uk/for

6、-organisations/guide-to-data-protection/guide-to-the-general-data-protection-regulation-gdpr/principles/purpose-limitation/?60?11.?https:/ico.org.uk/for-organisations/guide-to-data-protection/guide-to-the-general-data-protection-regulation-gdpr/principles/data