| Robust Wireless Fingerprinting via Complex-Valued Neural Networks S Gopalakrishnan, M Cekic, U Madhow 2019 IEEE Global Communications Conference (Globecom), 1-6, 2019 | 52 | 2019 |
| Wireless fingerprinting via deep learning: The impact of confounding factors M Cekic, S Gopalakrishnan, U Madhow 2021 55th Asilomar Conference on Signals, Systems, and Computers, 677-684, 2021 | 47* | 2021 |
| Sparsity-based Defense against Adversarial Attacks on Linear Classifiers Z Marzi, S Gopalakrishnan, U Madhow, R Pedarsani 2018 IEEE International Symposium on Information Theory (ISIT), 31-35, 2018 | 36 | 2018 |
| Combating Adversarial Attacks Using Sparse Representations S Gopalakrishnan, Z Marzi, U Madhow, R Pedarsani 2018 ICLR Workshop, 2018 | 29 | 2018 |
| Robust Adversarial Learning via Sparsifying Front Ends S Gopalakrishnan, Z Marzi, M Cekic, U Madhow, R Pedarsani arXiv preprint arXiv:1810.10625, 2018 | 11* | 2018 |
| Polarizing Front Ends for Robust CNNs C Bakiskan, S Gopalakrishnan, M Cekic, U Madhow, R Pedarsani 2020 IEEE International Conference on Acoustics, Speech and Signal …, 2020 | 5 | 2020 |
| Compressive Information Acquisition with Hardware Impairments and Constraints: A Case Study S Gopalakrishnan, T Moy, U Madhow, N Verma 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 1 | 2017 |
| Signal Models for Robust Deep Learning S Gopalakrishnan University of California, Santa Barbara, 2020 | | 2020 |
| Polarizing Front Ends for Robust CNNs C Bakıskan, S Gopalakrishnan, M Çekiç, U Madhow, R Pedarsani | | |
Upamanyu MadhowProfessor of Electrical and Computer Engineering, University of California, Santa BarbaraVerified email at ece.ucsb.edu
