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Ancile

Published:2019 Issue: Volume: Page:
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Container-title:Proceedings of the 18th ACM Workshop on Privacy in the Electronic Society - WPES'19
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Author:

Bagdasaryan Eugene¹,Berlstein Griffin²,Waterman Jason²,Birrell Eleanor³,Foster Nate⁴,Schneider Fred B.⁴,Estrin Deborah¹

Affiliation:

1. Cornell Tech, Cornell University, New York, NY, USA

2. Vassar College, Poughkeepsie, NY, USA

3. Pomona College, Claremont, CA, USA

4. Cornell University, Ithaca, NY, USA

Funder

National Science Foundation

Publisher

ACM Press

Reference72 articles.

1. Martin Abadi, Andy Chu, Ian Goodfellow, H Brendan McMahan, Ilya Mironov, Kunal Talwar, and Li Zhang. 2016. Deep learning with differential privacy. In Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security. ACM, 308--318.

2. Yuvraj Agarwal and Malcolm Hall. 2013. Protect My Privacy: detecting and mitigating privacy leaks on iOS devices using crowdsourcing. In Proceeding of the 11th annual international conference on Mobile systems, applications, and services. ACM, 97--110.

3. Ittai Anati, Shay Gueron, Simon Johnson, and Vincent Scarlata. 2013. Innovative technology for CPU based attestation and sealing. In Proceedings of the 2nd international workshop on hardware and architectural support for security and privacy, Vol. 13. ACM New York, NY, USA.

4. Steven Arzt, Siegfried Rasthofer, Christian Fritz, Eric Bodden, Alexandre Bartel, Jacques Klein, Yves Le Traon, Damien Octeau, and Patrick McDaniel. 2014. Flowdroid: Precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for android apps. Acm Sigplan Notices, Vol. 49, 6 (2014), 259--269.

5. Android 2019. Documentation for app developers. https://developer.android.com/docs.

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