| Machine learning and hardware security: Challenges and opportunities F Regazzoni, S Bhasin, AA Pour, I Alshaer, F Aydin, A Aysu, V Beroulle, ... Proceedings of the 39th International Conference on Computer-Aided Design, 1-6, 2020 | 18 | 2020 |
| 2deep: Enhancing side-channel attacks on lattice-based key-exchange via 2-d deep learning P Kashyap, F Aydin, S Potluri, PD Franzon, A Aysu IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 16 | 2020 |
| Machine learning and hardware security: Challenges and opportunities-invited talk, in 2020 IEEE F Regazzoni, S Bhasin, AA Pour, I Alshaer, F Aydin, A Aysu, V Beroulle, ... ACM International Conference On Computer Aided Design (ICCAD), 1-6, 2020 | 10 | 2020 |
| FAXID: FPGA-accelerated XGBoost inference for data Centers using HLS A Gajjar, P Kashyap, A Aysu, P Franzon, S Dey, C Cheng 2022 IEEE 30th Annual International Symposium on Field-Programmable Custom …, 2022 | 8 | 2022 |
| DeePar-SCA: Breaking parallel architectures of lattice cryptography via learning based side-channel attacks F Aydin, P Kashyap, S Potluri, P Franzon, A Aysu Embedded Computer Systems: Architectures, Modeling, and Simulation: 20th …, 2020 | 8 | 2020 |
| High speed receiver modeling using generative adversarial networks P Kashyap, WS Pitts, D Baron, CW Wong, T Wu, PD Franzon 2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging …, 2021 | 5 | 2021 |
| An autonomous simultaneous localization and mapping walker for indoor navigation P Kashyap, M Saleh, D Shakhbulatov, Z Dong 2018 IEEE 39th Sarnoff Symposium, 1-6, 2018 | 5 | 2018 |
| RxGAN: Modeling high-speed receiver through generative adversarial networks P Kashyap, A Gajjar, Y Choi, CW Wong, D Baron, T Wu, C Cheng, ... Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 167-172, 2022 | 2 | 2022 |
| Thermal estimation for 3D-ICs through generative networks P Kashyap, PP Ravichandiran, L Wang, D Baron, CW Wong, T Wu, ... 2023 IEEE International 3D Systems Integration Conference (3DIC), 1-4, 2023 | 1 | 2023 |
| Modeling of adaptive receiver performance using generative adversarial networks P Kashyap, Y Choi, S Dey, D Baron, CW Wong, T Wu, C Cheng, ... 2022 IEEE 72nd Electronic Components and Technology Conference (ECTC), 1958-1963, 2022 | 1 | 2022 |
| Generative Multi-Physics Models for System Power and Thermal Analysis Using Conditional Generative Adversarial Networks P Kashyap, C Cheng, Y Choi, P Franzon 2023 IEEE 32nd Conference on Electrical Performance of Electronic Packaging …, 2023 | | 2023 |
| Generative Adversarial Network Based Adaptive Transmitter Modeling P Kashyap, PP Ravichandiran, D Baron, CW Wong, T Wu, PD Franzon 2023 IEEE 73rd Electronic Components and Technology Conference (ECTC), 2183-2187, 2023 | | 2023 |
| Machine Learning to Enable Side-Channel Analysis and Generative Modeling in Electronic Design Automation. P Kashyap | | 2023 |
| Data-driven PAM4 SerDes Modeling with Generative Adversarial Network Y Choi, P Kashyap, P Franzon, C Cheng | | 2023 |
Paul FranzonProfessor of Electrical and Computer Engineering, North Carolina State UniversityVerified email at ncsu.edu
