Carsten Willems

Signal Processing · 2007–2011

A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 41 citations into it; #1,075 of 7,572 by trust here, #918 by citations
• Artificial Intelligence — 32 citations into it
• Computer Networks and Communications — 28 citations into it; #1,151 of 9,886 by trust here, #1,003 by citations
• Software — 12 citations into it
• Privacy & Security — 8 citations into it
• Statistical Learning Theory — 6 citations into it

Whom Carsten Willems trusts overall

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

1. Mihai Christodorescu
2. Thorsten Joachims
3. Michael Bailey
4. Ulrich Bayer
5. J. Platt
6. Somesh Jha
7. Andreas Moser
8. Konrad Rieck
9. J. Kolter

Who trusts Carsten Willems overall

1. Davide Maiorca
2. Ekta Gandotra
3. Meng Xu
4. Giorgio Giacinto
5. Ori Or-Meir
6. Konrad Rieck
7. Battista Biggio
8. Igino Corona
9. Yanfang Ye
10. Artem Dinaburg

Papers from Carsten Willems's perspective

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

1. Semantics-aware malware detection
2. Statistical Learning Theory
3. The Nepenthes Platform: An Efficient Approach to Collect Malware (International Symposium on Recent Advances in Intrusion Detection)
4. Automated Classification and Analysis of Internet Malware
5. Panorama: capturing system-wide information flow for malware detection and analysis (Conference on Computer and Communications Security)
6. Text Categorization with Support Vector Machines: Learning with Many Relevant Features
7. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
8. The Art of Computer Virus Research and Defense
9. QEMU, a Fast and Portable Dynamic Translator (USENIX ATC, FREENIX Track)
10. Learning and Classification of Malware Behavior

Their papers

• Automatic analysis of malware behavior using machine learning (2011) — 764 citations
• A Malware Instruction Set for Behavior-Based Analysis (2010) — 91 citations
• Learning and Classification of Malware Behavior (2008) — 670 citations
• Toward Automated Dynamic Malware Analysis Using CWSandbox (2007) — 828 citations