Andrea Paudice

Safety, Robustness & Interpretability · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Safety, Robustness & Interpretability — 37 citations into it; #2,111 of 2,251 by trust here, #903 by citations
• Artificial Intelligence — 34 citations into it; #33,828 of 35,345 by trust here, #8,893 by citations
• Computer Networks and Communications — 24 citations into it
• Signal Processing — 19 citations into it
• Privacy & Security — 14 citations into it
• Information Systems — 12 citations into it

Whom Andrea Paudice trusts overall

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

1. Battista Biggio
2. Robert Tibshirani
3. Xiaojin Zhu
4. Shike Mei
5. Pavel Laskov
6. Blaine Nelson
7. Yoshua Bengio
8. Yann LeCun
9. Bernhard Schölkopf
10. Pang Wei Koh

Who trusts Andrea Paudice overall

1. Zhiyi Tian
2. Ki Hyun Tae
3. Ho Bae
4. Yuji Roh
5. Lei Cui
6. Vale Tolpegin
7. Jaehee Jang

Papers from Andrea Paudice's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection (2018) — 166 citations
• Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization (2017) — 689 citations