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2021 IEEE Symposium on Security and Privacy (SP) ,
1
Is Private Learning Possible with Instance Encoding?:
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2021 IEEE Symposium on Security and Privacy (SP) ,
2
Adversary Instantiation: Lower Bounds for Differentially Pr..:
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Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms ,
3
Amplification by shuffling : from local to central diffe..:
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Companion Proceedings of The 2019 World Wide Web Conference ,
4
Privacy-preserving Data Mining in Industry:
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Proceedings of the forty-sixth annual ACM symposium on Theory of computing ,
5
Analyze gauss : optimal bounds for privacy-preserving pr..:
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Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data ,
6
GUPT : privacy preserving data analysis made easy:
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Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining ,
7
Discovering frequent patterns in sensitive data:
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Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining ,
8
Privacy-preserving Data Mining in Industry:
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