Leveraging diffusion for strong and high quality face morphing attacks Z Blasingame, C Liu IEEE Transactions on Biometrics, Behavior, and Identity Science, 2024 | 13* | 2024 |
Detecting data exploits using low-level hardware information: A short time series approach C Liu, Z Yang, Z Blasingame, G Torres, J Bruska Proceedings of the First Workshop on Radical and Experiential Security, 41-47, 2018 | 11 | 2018 |
Leveraging adversarial learning for the detection of morphing attacks Z Blasingame, C Liu 2021 IEEE International Joint Conference on Biometrics (IJCB), 1-8, 2021 | 9 | 2021 |
Hard-lite: A lightweight hardware anomaly realtime detection framework targeting ransomware C Woralert, C Liu, Z Blasingame IEEE Transactions on Circuits and Systems I: Regular Papers, 2023 | 6 | 2023 |
Verification of OpenSSL version via hardware performance counters J Bruska, Z Blasingame, C Liu Disruptive Technologies in Sensors and Sensor Systems 10206, 52-58, 2017 | 6 | 2017 |
Detecting non-control-flow hijacking attacks using contextual execution information G Torres, Z Yang, Z Blasingame, J Bruska, C Liu Proceedings of the 8th International Workshop on Hardware and Architectural …, 2019 | 5 | 2019 |
Fast-DiM: Towards Fast Diffusion Morphs ZW Blasingame, C Liu IEEE Security & Privacy, 2024 | | 2024 |
AdjointDEIS: Efficient Gradients for Diffusion Models ZW Blasingame, C Liu arXiv preprint arXiv:2405.15020, 2024 | | 2024 |
The Impact of Print-and-Scan in Heterogeneous Morph Evaluation Scenarios RE Neddo, ZW Blasingame, C Liu arXiv preprint arXiv:2404.06559, 2024 | | 2024 |
Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphs ZW Blasingame, C Liu arXiv preprint arXiv:2404.06025, 2024 | | 2024 |
A Comparison of One-class and Two-class Models for Ransomware Detection via Low-level Hardware Information C Woralert, C Liu, Z Blasingame, Z Yang 2023 Asian Hardware Oriented Security and Trust Symposium (AsianHOST), 1-6, 2023 | | 2023 |
Feature Creation Towards the Detection of Non-control-Flow Hijacking Attacks Z Blasingame, C Liu, X Yao International Conference on Artificial Neural Networks, 153-164, 2021 | | 2021 |