Thomas H. Austin
Journal of Computer Virology and Hacking Techniques · 2015–2016
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Thomas H. Austin trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew P. Bradley (in Evaluation & Benchmarks)
Papers from Thomas H. Austin's perspective
Ordered by how strongly the researchers Thomas H. Austin trusts endorse each paper. Same corpus, a different order for every researcher.
- Static Analysis of Executables to Detect Malicious Patterns
- The use of the area under the ROC curve in the evaluation of machine learning algorithms
- Ether: malware analysis via hardware virtualization extensions (Conference on Computer and Communications Security)
- An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
- Support vector machines
- A tutorial on hidden Markov models and selected applications in speech recognition
- An introduction to ROC analysis
- The relationship between Precision-Recall and ROC curves
- Effective and Efficient Malware Detection at the End Host (USENIX Security Symposium)
- Graph-based malware detection using dynamic analysis (Journal in Computer Virology)
Their papers
- Support vector machines and malware detection (2016) — 59 citations
- A comparison of static, dynamic, and hybrid analysis for malware detection (2015) — 433 citations