Shing-Hon Lau

Artificial Intelligence · 2008–2010

A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #20,902 of 35,345 by trust here, #7,172 by citations
• Computer Networks and Communications — 20 citations into it; #5,311 of 9,886 by trust here, #843 by citations
• Safety, Robustness & Interpretability — 11 citations into it; #1,416 of 2,251 by trust here, #723 by citations
• Statistics and Probability — 6 citations into it

Whom Shing-Hon Lau trusts overall

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

1. Anukool Lakhina
2. L. Lov'asz

Who trusts Shing-Hon Lau overall

1. Blaine Nelson
2. Battista Biggio

Papers from Shing-Hon Lau's perspective

Ordered by how strongly the researchers Shing-Hon Lau trusts endorse each paper. Same corpus, a different order for every researcher.

1. Diagnosing network-wide traffic anomalies
2. Adversarial learning
3. Characterization of network-wide anomalies in traffic flows (ACM/SIGCOMM Internet Measurement Conference)
4. On Attacking Statistical Spam Filters
5. Adversarial classification
6. Combining filtering and statistical methods for anomaly detection (ACM/SIGCOMM Internet Measurement Conference)
7. Polygraph: automatically generating signatures for polymorphic worms
8. Can machine learning be secure?
9. Paragraph: Thwarting Signature Learning by Training Maliciously
10. Hit-and-run from a corner

Their papers

• ANTIDOTE: understanding and defending against poisoning of anomaly detectors (2009) — 428 citations
• Near-Optimal Evasion of Convex-Inducing Classifiers (2010) — 55 citations
• Stealthy poisoning attacks on PCA-based anomaly detectors (2009) — 66 citations
• Compromising PCA-based Anomaly Detectors for Network-Wide Traffic (2008) — 33 citations