193 citations · 319 across the 3 of their papers we have counts for
3 papers
cs.CR2016★ 193 cited
Towards the Science of Security and Privacy in Machine Learning
Nicolas Papernot, Patrick McDaniel, Arunesh Sinha +1
Advances in machine learning (ML) in recent years have enabled a dizzying array of applications such as data analytics, autonomous systems, and security diagnostics. ML is now perv…
cs.CR2016★ 58 cited
On the Effectiveness of Defensive Distillation
Nicolas Papernot, Patrick McDaniel
We report experimental results indicating that defensive distillation successfully mitigates adversarial samples crafted using the fast gradient sign method, in addition to those c…
cs.SE2014★ 68 cited
I know what leaked in your pocket: uncovering privacy leaks on Android Apps with Static Taint Analysis
Li Li, Alexandre Bartel, Jacques Klein +6
Android applications may leak privacy data carelessly or maliciously. In this work we perform inter-component data-flow analysis to detect privacy leaks between components of Andro…