Homomorphic Training of 30,000 Logistic Regression Models
- Flavio Bergamaschi
- Shai Halevi
- et al.
- 2019
- ACNS 2019
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Reaching Data Confidentiality and Model Accountability on the CalTrain
- Zhongshu Gu
- Hani Jamjoom
- et al.
- 2019
- DSN 2019
Towards deep neural network training on encrypted data
- Karthik Nandakumar
- Nalini K. Ratha
- et al.
- 2019
- CVPRW 2019
Promoting Distributed Trust in Machine Learning and Computational Simulation via a Blockchain Network
- Kibichii Bore
- Ravi Kiran Raman
- et al.
- 2019
- ICBC 2019
Ensuring Confidentiality in the Cloud of Things
- Patrick Eugster
- Seema Kumar
- et al.
- 2019
- IEEE Pervasive Computing
Challenges for combining smart contracts with trusted computing
- Marcus Brandenburger
- Christian Cachin
- 2018
- CCS/SysTEX 2018
Doing real work with FHE: The case of logistic regression
- Jack Crawford
- Craig Gentry
- et al.
- 2018
- CCS/WAHC 2018
An Algorithmic Method for Tampering-Proof and Privacy-Preserving Smart Metering
- Dongsheng Li
- Yingying Zhao
- et al.
- 2018
- INDIN 2018
Sub-linear Lattice-Based Zero-Knowledge Arguments for Arithmetic Circuits
- Carsten Baum
- Jonathan Bootle
- et al.
- 2018
- Crypto 2018
DeepLocker - Concealing Targeted Attacks with AI Locksmithing
- Dhilung Kirat
- Jiyong Jang
- et al.
- 2018
- Black Hat USA 2018