Sara Rampazzi

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it

Whom Sara Rampazzi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Nicholas Carlini

Papers from Sara Rampazzi's perspective

Ordered by how strongly the researchers Sara Rampazzi trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Explaining and Harnessing Adversarial Examples
3. ImageNet classification with deep convolutional neural networks
4. Towards Deep Learning Models Resistant to Adversarial Attacks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Spatial Transformer Networks
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. Towards Evaluating the Robustness of Neural Networks
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving (2019) — 667 citations