Zhi-Min He

Safety, Robustness & Interpretability · 2015

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Safety, Robustness & Interpretability — 16 citations into it
• Artificial Intelligence — 13 citations into it
• Computer Networks and Communications — 11 citations into it
• Signal Processing — 10 citations into it

Whom Zhi-Min He trusts overall

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

1. Battista Biggio
2. Giorgio Fumera
3. Gordon V. Cormack
4. Vladimir Naumovich Vapni
5. Fabrizio Sebastiani
6. Blaine Nelson

Papers from Zhi-Min He's perspective

Ordered by how strongly the researchers Zhi-Min He trusts endorse each paper. Same corpus, a different order for every researcher.

1. Nightmare at test time: robust learning by feature deletion
2. Adversarial learning
3. The Nature of Statistical Learning Theory
4. Query Strategies for Evading Convex-Inducing Classifiers
5. Exploiting Machine Learning to Subvert Your Spam Filter
6. The security of machine learning
7. Adversarial classification
8. Multiple Classifier Systems under Attack
9. Feature Weighting for Improved Classifier Robustness
10. Static prediction games for adversarial learning problems

Their papers

• One-and-a-Half-Class Multiple Classifier Systems for Secure Learning Against Evasion Attacks at Test Time (2015) — 51 citations