| A fast deep learning method for security vulnerability study of XOR PUFs KT Mursi, B Thapaliya, Y Zhuang, AO Aseeri, MS Alkatheiri Electronics 9 (10), 1715, 2020 | 58 | 2020 |
| Neural-network-based modeling attacks on xor arbiter pufs revisited N Wisiol, B Thapaliya, KT Mursi, JP Seifert, Y Zhuang Cryptology ePrint Archive, 2021 | 31 | 2021 |
| Neural network modeling attacks on arbiter-PUF-based designs N Wisiol, B Thapaliya, KT Mursi, JP Seifert, Y Zhuang IEEE Transactions on Information Forensics and Security 17, 2719-2731, 2022 | 28 | 2022 |
| Machine learning-based vulnerability study of interpose PUFs as security primitives for IoT networks B Thapaliya, KT Mursi, Y Zhuang 2021 IEEE International Conference on Networking, Architecture and Storage …, 2021 | 8 | 2021 |
| A hybrid-optimizer-enhanced neural network method for the security vulnerability study of multiplexer arbiter PUFs KT Mursi, B Thapaliya, Y Zhuang Journal of Physics: Conference Series 1729 (1), 012010, 2021 | 5 | 2021 |
| LaHiIO: Accelerating Persistent Big Data Machine Learning via Latency Hiding IOs AO Aseeri, Y Zhuang, MS Alkatheiri, B Thapaliya 2018 IEEE International Conference on Big Data (Big Data), 2063-2070, 2018 | | 2018 |
