66 citations · 108 across the 12 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.CR2018★ 13 cited
VerIDeep: Verifying Integrity of Deep Neural Networks through Sensitive-Sample Fingerprinting
Zecheng He, Tianwei Zhang, Ruby B. Lee
Deep learning has become popular, and numerous cloud-based services are provided to help customers develop and deploy deep learning applications. Meanwhile, various attack techniqu…
cs.CR2018★ 66 cited
Privacy-preserving Machine Learning through Data Obfuscation
Tianwei Zhang, Zecheng He, Ruby B. Lee
As machine learning becomes a practice and commodity, numerous cloud-based services and frameworks are provided to help customers develop and deploy machine learning applications.…
cs.CR2018★ 1 cited
Power-Grid Controller Anomaly Detection with Enhanced Temporal Deep Learning
Zecheng He, Aswin Raghavan, Guangyuan Hu +2
Controllers of security-critical cyber-physical systems, like the power grid, are a very important class of computer systems. Attacks against the control code of a power-grid syste…