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DPGen: Automated Program Synthesis for Differential Privacy
Mapping Intimacies
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10.1145/3460120.3484781
◽
2021
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Author(s):
Yuxin Wang
◽
Zeyu Ding
◽
Yingtai Xiao
◽
Daniel Kifer
◽
Danfeng Zhang
Keyword(s):
Differential Privacy
◽
Program Synthesis
Download Full-text
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References
Proportional Differential Privacy (PDP): A new Approach for Differentially Private Histogram Release based on Buckets Densities
2020 9th IFIP International Conference on Performance Evaluation and Modeling in Wireless Networks (PEMWN)
◽
10.23919/pemwn50727.2020.9293079
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2020
◽
Author(s):
Mohammed AISSAOUI
Keyword(s):
Differential Privacy
◽
New Approach
Download Full-text
Iterative Macro-Operators Revisited: Applying Program Synthesis to Learning in Planning
10.21236/ada363524
◽
1999
◽
Author(s):
Ute Schmid
Keyword(s):
Program Synthesis
Download Full-text
Differential Privacy for Distributed Consensus with Partial Observations
2020 IEEE 16th International Conference on Control & Automation (ICCA)
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10.1109/icca51439.2020.9264381
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2020
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Author(s):
Ye Pu
Keyword(s):
Differential Privacy
◽
Distributed Consensus
◽
Partial Observations
Download Full-text
LightDP: towards automating differential privacy proofs
Proceedings of the 44th ACM SIGPLAN Symposium on Principles of Programming Languages - POPL 2017
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10.1145/3009837.3009884
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2017
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Cited By ~ 19
Author(s):
Danfeng Zhang
◽
Daniel Kifer
Keyword(s):
Differential Privacy
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On Sparse Linear Regression in the Local Differential Privacy Model
IEEE Transactions on Information Theory
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10.1109/tit.2020.3040406
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2020
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pp. 1-1
Author(s):
Di Wang
◽
Jinhui Xu
Keyword(s):
Linear Regression
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Differential Privacy
◽
Privacy Model
Download Full-text
Super-convergence and Differential Privacy: Training faster with better privacy guarantees
2021 55th Annual Conference on Information Sciences and Systems (CISS)
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10.1109/ciss50987.2021.9400274
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2021
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Author(s):
Osvald Frisk
◽
Friedrich Dormann
◽
Christian Marius Lillelund
◽
Christian Fischer Pedersen
Keyword(s):
Differential Privacy
◽
Super Convergence
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Accelerating search-based program synthesis using learned probabilistic models
ACM SIGPLAN Notices
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10.1145/3296979.3192410
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2018
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Vol 53
(4)
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pp. 436-449
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Cited By ~ 3
Author(s):
Woosuk Lee
◽
Kihong Heo
◽
Rajeev Alur
◽
Mayur Naik
Keyword(s):
Probabilistic Models
◽
Program Synthesis
Download Full-text
Intermittently differential privacy in smart meters via rechargeable batteries
Electric Power Systems Research
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10.1016/j.epsr.2021.107410
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2021
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Vol 199
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pp. 107410
Author(s):
Xing Liu
◽
Huiwei Wang
◽
Guo Chen
◽
Bo Zhou
◽
Aqeel ur Rehman
Keyword(s):
Differential Privacy
◽
Rechargeable Batteries
◽
Smart Meters
Download Full-text
Reconciling enumerative and deductive program synthesis
Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation
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10.1145/3385412.3386027
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2020
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Cited By ~ 2
Author(s):
Kangjing Huang
◽
Xiaokang Qiu
◽
Peiyuan Shen
◽
Yanjun Wang
Keyword(s):
Program Synthesis
◽
Deductive Program Synthesis
Download Full-text
Local Differential Privacy for Multi-Agent Distributed Optimal Power Flow
2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)
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10.1109/isgt-europe47291.2020.9248851
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2020
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Author(s):
Roel Dobbe
◽
Ye Pu
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Jingge Zhu
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Kannan Ramchandran
◽
Claire Tomlin
Keyword(s):
Power Flow
◽
Optimal Power Flow
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Differential Privacy
◽
Optimal Power
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Multi Agent
◽
Distributed Optimal Power Flow
Download Full-text
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