Derek A. Soeder
46Patents
8h-index
25Co-inventors
71Inventor score
Filing activity: Nov 4, 2010 → Dec 18, 2020
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US9705904B1 | Neural attention mechanisms for malware analysis | Physics | 69 | Active |
| US8578487B2 | System and method for internet security | Physics | 33 | Active |
| US9721097B1 | Neural attention mechanisms for malware analysis | Physics | 33 | Active |
| US8930916B1 | Generation of API call graphs from static disassembly | Physics | 30 | Active |
| US9465940B1 | Wavelet decomposition of software entropy to identify malware | Physics | 28 | Active |
| US9262296B1 | Static feature extraction from structured files | Physics | 17 | Active |
| US9116717B2 | Run-time interception of software methods | Physics | 9 | Active |
| US9378012B2 | Generation of API call graphs from static disassembly | Physics | 9 | Active |
| US9946876B2 | Wavelet decomposition of software entropy to identify malware | Physics | 7 | Active |
| US10922604B2 | Training a machine learning model for analysis of instruction sequences | Physics | 6 | Active |
| US9495633B2 | Recurrent neural networks for malware analysis | Physics | 5 | Active |
| US10637874B2 | Container file analysis using machine learning model | Physics | 5 | Active |
| US11074494B2 | Machine learning model for analysis of instruction sequences | Physics | 5 | Active |
| US11381580B2 | Machine learning classification using Markov modeling | Electricity | 4 | Active |
| US10235518B2 | Application execution control utilizing ensemble machine learning for discernment | Electricity | 3 | Active |
| US10635415B2 | Run-time interception of software methods | Physics | 3 | Active |
| US10652252B2 | Machine learning classification using Markov modeling | Electricity | 3 | Active |
| US11657317B2 | Automated systems and methods for generative multimodel multiclass classification and similarity analysis using machine learning | Physics | 2 | Active |
| US11188646B2 | Training a machine learning model for container file analysis | Physics | 2 | Active |
| US10191831B2 | Macro-script execution control | Physics | 2 | Active |
| US10824572B2 | Memory space protection | Physics | 2 | Active |
| US9959276B2 | Static feature extraction from structured files | Physics | 2 | Active |
| US10157279B2 | Malware detection | Physics | 1 | Active |
| US10503901B2 | Training a machine learning model for container file analysis | Physics | 1 | Active |
| US10558804B2 | Recurrent neural networks for malware analysis | Physics | 1 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.