Huang Xiao

Safety, Robustness & Interpretability · with Eckert · 2012–2015

A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

• Safety, Robustness & Interpretability — 49 citations into it; #514 of 2,251 by trust here, #547 by citations
• Artificial Intelligence — 43 citations into it; #7,465 of 35,345 by trust here, #6,720 by citations
• Computer Networks and Communications — 30 citations into it; #5,674 of 9,886 by trust here, #1,826 by citations
• Signal Processing — 26 citations into it; #4,478 of 7,572 by trust here, #2,990 by citations
• Privacy & Security — 22 citations into it
• Information Systems — 20 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Statistical Learning Theory — 6 citations into it; #800 of 1,038 by trust here, #602 by citations

Whom Huang Xiao trusts overall

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

1. Battista Biggio
2. Blaine Nelson
3. Pavel Laskov
4. Marius Kloft
5. Amir Globerson
6. Marco Barreno
7. J. Doug Tygar
8. Giorgio Fumera
9. Davide Maiorca
10. Charles Smutz

Who trusts Huang Xiao overall

1. Battista Biggio
2. Jacob Steinhardt
3. Nicolas Papernot
4. Bo Li
5. Ambra Demontis
6. Mengchen Zhao
7. Katja Auernhammer
8. Vale Tolpegin
9. Chang Liu
10. Pang Wei Koh

Papers from Huang Xiao's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. The Nature of Statistical Learning Theory
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Nightmare at test time: robust learning by feature deletion
7. LIBSVM: A library for support vector machines
8. Support-Vector Networks
9. Learning Multiple Layers of Features from Tiny Images
10. Long Short-Term Memory

Their papers

• Is Feature Selection Secure against Training Data Poisoning? (2015) — 445 citations
• Support vector machines under adversarial label contamination (2015) — 241 citations
• Adversarial Label Flips Attack on Support Vector Machines (2012) — 268 citations