Issued Patents 2022
Showing 1–12 of 12 patents
| Patent # | Title | Co-Inventors | Date |
|---|---|---|---|
| 11522880 | Analytics engine for data exploration and analytics | Sulakshan Vajipayajula, Paul Coccoli, James B. Peterson, Michael Vu Le | 2022-12-06 |
| 11494496 | Measuring overfitting of machine learning computer model and susceptibility to security threats | Kathrin Grosse, Taesung Lee, Youngja Park | 2022-11-08 |
| 11455569 | Device discovery and classification from encrypted network traffic | Enriquillo Valdez, Pau-Chen Cheng, Dimitrios Pendarakis | 2022-09-27 |
| 11443178 | Deep neural network hardening framework | Benjamin J. Edwards, Taesung Lee, Dong Su | 2022-09-13 |
| 11443182 | Privacy enhancing deep learning cloud service using a trusted execution environment | Zhongshu Gu, Heqing Huang, Jialong Zhang, Dong Su, Dimitrios Pendarakis | 2022-09-13 |
| 11416771 | Self-learning peer group analysis for optimizing identity and access management environments | Priti P. Patil, Kushaal Veijay | 2022-08-16 |
| 11372997 | Automatic audit logging of events in software applications performing regulatory workloads | Suresh N. Chari, Ted A. Habeck, Ashish Kundu | 2022-06-28 |
| 11301563 | Recurrent neural network based anomaly detection | Heqing Huang, Taesung Lee, Zhongshu Gu, Jialong Zhang, Josyula R. Rao | 2022-04-12 |
| 11277434 | Reducing attack surface by selectively collocating applications on host computers | Michael Vu Le, Hani T. Jamjoom | 2022-03-15 |
| 11262993 | Application binary rewriting to reduce binary attack surface area | Michael Vu Le, Jacob Tinkhauser | 2022-03-01 |
| 11227232 | Automatic generation of training data for anomaly detection using other user's data samples | Suresh N. Chari, Youngja Park | 2022-01-18 |
| 11221835 | Determining when to perform and performing runtime binary slimming | Michael Vu Le, Taemin Park | 2022-01-11 |