Michael Wojnowicz
20Patents
6h-index
26Co-inventors
61Inventor score
Filing activity: Mar 30, 2015 → Dec 2, 2021
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US9705904B1 | Neural attention mechanisms for malware analysis | Physics | 69 | Active |
| US9721097B1 | Neural attention mechanisms for malware analysis | Physics | 33 | Active |
| US9465940B1 | Wavelet decomposition of software entropy to identify malware | Physics | 28 | 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 |
| US11301550B2 | Computer user authentication using machine learning | Electricity | 6 | Active |
| US11074494B2 | Machine learning model for analysis of instruction sequences | Physics | 5 | Active |
| US10637874B2 | Container file analysis using machine learning model | Physics | 5 | Active |
| US11106790B2 | Dimensionality reduction of computer programs | Physics | 3 | Active |
| US10360380B2 | Advanced malware classification | Physics | 2 | Active |
| US11637858B2 | Detecting malware with deep generative models | Electricity | 2 | Active |
| US11188646B2 | Training a machine learning model for container file analysis | Physics | 2 | Active |
| US10503901B2 | Training a machine learning model for container file analysis | Physics | 1 | Active |
| US11283818B2 | Container file analysis using machine learning model | Physics | 0 | Active |
| US11893096B2 | Computer user authentication using machine learning | Electricity | 0 | Active |
| US10489589B2 | Anomaly based malware detection | Physics | 0 | Active |
| US11797826B2 | Machine learning model for analysis of instruction sequences | Physics | 0 | Active |
| US11126719B2 | Advanced malware classification | Physics | 0 | Active |
| US11210394B2 | Anomaly based malware detection | Physics | 0 | Active |
| US11544358B2 | Bayesian continuous user authentication | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.