Priyank Kashyap

Kashyap, P., Ravichandiran, P. P., Baron, D., Wong, C.-W., Wu, T., & Franzon, P. D. (2023). Generative Adversarial Network Based Adaptive Transmitter Modeling. 2023 IEEE 73rd Electronic Components and Technology Conference (ECTC). https://doi.org/10.1109/ectc51909.2023.00376

Kashyap, P., Ravichandiran, P. P., Wang, L., Baron, D., Wong, C.-W., Wu, T., & Franzon, P. D. (2023). Thermal Estimation for 3D-ICs through Generative Networks. 2023 IEEE INTERNATIONAL 3D SYSTEMS INTEGRATION CONFERENCE, 3DIC. https://doi.org/10.1109/3DIC57175.2023.10154977

Gajjar, A., Kashyap, P., Aysu, A., Franzon, P., Dey, S., & Cheng, C. (2022). FAXID: FPGA-Accelerated XGBoost Inference for Data Centers using HLS. 2022 IEEE 30TH INTERNATIONAL SYMPOSIUM ON FIELD-PROGRAMMABLE CUSTOM COMPUTING MACHINES (FCCM 2022), pp. 113–121. https://doi.org/10.1109/FCCM53951.2022.9786085

Kashyap, P., Choi, Y., Dey, S., Baron, D., Wong, C.-W., Wu, T., … Franzon, P. D. (2022). Modeling of Adaptive Receiver Performance Using Generative Adversarial Networks. IEEE 72ND ELECTRONIC COMPONENTS AND TECHNOLOGY CONFERENCE (ECTC 2022), pp. 1958–1963. https://doi.org/10.1109/ECTC51906.2022.00307

Kashyap, P., Gajjar, A., Choi, Y., Wong, C.-W., Baron, D., Wu, T., … Franzon, P. (2022). RxGAN: Modeling High-Speed Receiver through Generative Adversarial Networks. MLCAD '22: PROCEEDINGS OF THE 2022 ACM/IEEE 4TH WORKSHOP ON MACHINE LEARNING FOR CAD (MLCAD), pp. 167–172. https://doi.org/10.1145/3551901.3556480

Kashyap, P., Aydin, F., Potluri, S., Franzon, P. D., & Aysu, A. (2021). 2Deep: Enhancing Side-Channel Attacks on Lattice-Based Key-Exchange via 2-D Deep Learning. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 40(6), 1217–1229. https://doi.org/10.1109/TCAD.2020.3038701

Kashyap, P., Pitts, W. S., Baron, D., Wong, C.-W., Wu, T., & Franzon, P. D. (2021). High Speed Receiver Modeling Using Generative Adversarial Networks. IEEE 30TH CONFERENCE ON ELECTRICAL PERFORMANCE OF ELECTRONIC PACKAGING AND SYSTEMS (EPEPS 2021). https://doi.org/10.1109/EPEPS51341.2021.9609124

Aydin, F., Kashyap, P., Potluri, S., Franzon, P., & Aysu, A. (2020). DeePar-SCA: Breaking Parallel Architectures of Lattice Cryptography via Learning Based Side-Channel Attacks. In Lecture Notes in Computer Science (pp. 262–280). https://doi.org/10.1007/978-3-030-60939-9_18

Regazzoni, F., Bhasin, S., Pour, A. A., Alshaer, I., Aydin, F., Aysu, A., … Yli-Mayry, V. (2020). Machine Learning and Hardware security: Challenges and Opportunities -Invited Talk. 2020 IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER AIDED-DESIGN (ICCAD). https://doi.org/10.1145/3400302.3416260

Kashyap, P., Saleh, M., Shakhbulatov, D., & Dong, Z. (2018). An Autonomous Simultaneous Localization and Mapping Walker for Indoor Navigation. 2018 IEEE 39th Sarnoff Symposium. https://doi.org/10.1109/sarnof.2018.8720504