A-9: Modulation Classification |
| Session Type: Virtual |
| Time: Monday, November 01, 11:15 - 12:45 |
| Location: Room 1 |
| Virtual Session: Attend on Virtual Platform |
| Session Chair: Peter Gerstoft, NoiseLab, University of California, San Diego (UCSD) |
| A-9.1: Novel training methodology to enhance deep learning based modulation classification |
| Venkatesh Sathyanarayanan; University of California San Diego |
| Ankush Jolly; University of California San Diego |
| Peter Gerstoft; University of California San Diego |
| A-9.2: Adversarial Filters for Secure Modulation Classification |
| Alex Berian; University of Arizona |
| Kory Staab; University of Arizona |
| Gregory Ditzler; University of Arizona |
| Tamal Bose; University of Arizona |
| Ravi Tandon; University of Arizona |
| A-9.3: Rich Feature Deep Learning Classifier for Multiple Simultaneous Radio Signals |
| Ahsen J. Uppal; The George Washington University |
| Jeffrey Klein; Raytheon Technologies Corp. |
| H. Brown Cribbs III; Raytheon Technologies Corp. |
| H. Howie Huang; The George Washington University |
| A-9.4: SNR-Boosted Automatic Modulation Classification |
| Clayton Harper; Darwin Deason Institute for Cyber Security |
| Avi Sinha; Darwin Deason Institute for Cyber Security |
| Mitchell Thornton; Darwin Deason Institute for Cyber Security |
| Eric Larson; Darwin Deason Institute for Cyber Security |