An Autonomous Simultaneous Localization and Mapping Walker for Indoor Navigation. - Priyank Kashyap; Mahmoud Saleh; Denisolt Shakhbulatov; Ziqian Dong (Sarnoff Symposium, 2018)

Machine Learning and Hardware security: Challenges and Opportunities -Invited Talk-. - Francesco Regazzoni 001; Shivam Bhasin; Amir Alipour; Ihab Alshaer; Furkan Aydin; Aydin Aysu; Vincent Beroulle; Giorgio Di Natale; Paul D. Franzon; David Hély; Naofumi Homma; Akira Ito 002; et al. (ICCAD, 2020)

DeePar-SCA: Breaking Parallel Architectures of Lattice Cryptography via Learning Based Side-Channel Attacks. - Furkan Aydin; Priyank Kashyap; Seetal Potluri; Paul D. Franzon; Aydin Aysu (SAMOS, 2020)

2Deep: Enhancing Side-Channel Attacks on Lattice-Based Key-Exchange via 2-D Deep Learning. - Priyank Kashyap; Furkan Aydin; Seetal Potluri; Paul D. Franzon; Aydin Aysu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

FAXID: FPGA-Accelerated XGBoost Inference for Data Centers using HLS. - Archit Gajjar; Priyank Kashyap; Aydin Aysu; Paul D. Franzon; Sumon Dey; Chris Cheng (FCCM, 2022)

RxGAN: Modeling High-Speed Receiver through Generative Adversarial Networks. - Priyank Kashyap; Archit Gajjar; Yongjin Choi; Chau-Wai Wong; Dror Baron; Tianfu Wu 001; Chris Cheng; Paul D. Franzon (MLCAD, 2022)

Thermal Estimation for 3D-ICs Through Generative Networks. - Priyank Kashyap; Prasanth Prabu Ravichandiran; Lee Wang; Dror Baron; Chau-Wai Wong; Tianfu Wu 001; Paul D. Franzon (3DIC, 2023)

RD-FAXID: Ransomware Detection with FPGA-Accelerated XGBoost. - Archit Gajjar; Priyank Kashyap; Aydin Aysu; Paul Franzon; Yongjin Choi; Chris Cheng; Giacomo Pedretti; Jim Ignowski (ACM Trans. Reconfigurable Technol. Syst., 2024)