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pro vyhledávání: '"Poddar, Rishabh"'
Autor:
Poddar, Rishabh, Kalra, Sukrit, Yanai, Avishay, Deng, Ryan, Popa, Raluca Ada, Hellerstein, Joseph M.
Many organizations stand to benefit from pooling their data together in order to draw mutually beneficial insights -- e.g., for fraud detection across banks, better medical studies across hospitals, etc. However, such organizations are often prevente
Externí odkaz:
http://arxiv.org/abs/2010.13752
Autor:
Law, Andrew, Leung, Chester, Poddar, Rishabh, Popa, Raluca Ada, Shi, Chenyu, Sima, Octavian, Yu, Chaofan, Zhang, Xingmeng, Zheng, Wenting
In recent years, gradient boosted decision tree learning has proven to be an effective method of training robust models. Moreover, collaborative learning among multiple parties has the potential to greatly benefit all parties involved, but organizati
Externí odkaz:
http://arxiv.org/abs/2010.02524
Recent years have seen an increased interest towards strong security primitives for encrypted databases (such as oblivious protocols), that hide the access patterns of query execution, and reveal only the volume of results. However, recent work has s
Externí odkaz:
http://arxiv.org/abs/2008.06627
Video-analytics-as-a-service is becoming an important offering for cloud providers. A key concern in such services is privacy of the videos being analyzed. While trusted execution environments (TEEs) are promising options for preventing the direct le
Externí odkaz:
http://arxiv.org/abs/2006.09628
Akademický článek
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Publikováno v:
Proceedings of the VLDB Endowment; July 2019, Vol. 12 Issue: 11 p1664-1678, 15p
Publikováno v:
2015 7th International Conference on Communication Systems & Networks (COMSNETS); 2015, p1-8, 8p
Autor:
Mann, Vijay, Gupta, Akanksha, Dutta, Partha, Vishnoi, Anilkumar, Bhattacharya, Parantapa, Poddar, Rishabh, Iyer, Aakash
Publikováno v:
NETWORKING 2012; 2012, p190-204, 15p