Han Xiao

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

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Safety, Robustness & Interpretability — 32 citations into it; #831 of 2,251 by trust here, #999 by citations
• Artificial Intelligence — 29 citations into it; #12,198 of 35,345 by trust here, #11,327 by citations
• Computer Networks and Communications — 20 citations into it
• Signal Processing — 16 citations into it; #4,477 of 7,572 by trust here, #2,990 by citations
• Information Systems — 13 citations into it
• Privacy & Security — 12 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Han Xiao trusts overall

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

1. Battista Biggio
2. Blaine Nelson
3. Daniel Lowd
4. Pavel Laskov
5. Amir Globerson
6. Marco Barreno
7. Marius Kloft
8. Sam T. Roweis
9. Christopher Meek
10. Michael Kearns

Who trusts Han Xiao overall

1. Ricky Laishram
2. Katja Auernhammer
3. Virat Shejwalkar
4. Vale Tolpegin
5. Chaofei Yang
6. Huang Xiao
7. Alexander Turner
8. Jacob Steinhardt
9. Vir Virander Phoha
10. Ramin Tavakoli Kolagari

Papers from Han Xiao's perspective

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

1. Nightmare at test time: robust learning by feature deletion
2. The Nature of Statistical Learning Theory
3. Adversarial learning
4. LIBSVM: A library for support vector machines
5. Good Word Attacks on Statistical Spam Filters
6. Can machine learning be secure?
7. Adversarial classification
8. Exploiting Machine Learning to Subvert Your Spam Filter
9. Learning to classify with missing and corrupted features
10. ImageNet classification with deep convolutional neural networks

Their papers

• Support vector machines under adversarial label contamination (2015) — 241 citations
• Adversarial Label Flips Attack on Support Vector Machines (2012) — 268 citations