438 citations · 535 across the 10 of their papers we have counts for
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cs.LG2022
Improving Radioactive Material Localization by Leveraging Cyber-Security Model Optimizations
Ryan Sheatsley, Matthew Durbin, Azaree Lintereur +1
One of the principal uses of physical-space sensors in public safety applications is the detection of unsafe conditions (e.g., release of poisonous gases, weapons in airports, tain…
cs.LG2018
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning
Nicolas Papernot, Patrick McDaniel
Deep neural networks (DNNs) enable innovative applications of machine learning like image recognition, machine translation, or malware detection. However, deep learning is often cr…
cs.LG2017★ 83 cited
Extending Defensive Distillation
Nicolas Papernot, Patrick McDaniel
Machine learning is vulnerable to adversarial examples: inputs carefully modified to force misclassification. Designing defenses against such inputs remains largely an open problem…