| End-to-end evaluation of federated learning and split learning for Internet of Things Y Gao, M Kim, A Abuadbba, Y Kim, C Thapa, K Kim, SA Camtepe, H Kim, ... 2020 International Symposium on Reliable Distributed Systems (SRDS), 2020 | 187 | 2020 |
| Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training? A Abuadbba, K Kim, M Kim, C Thapa, SA Camtepe, Y Gao, H Kim, ... Proceedings of the 15th ACM AsiaCCS, 305-318, 2020 | 106 | 2020 |
| Hybrid cryptographic access control for cloud-based EHR systems U Premarathne, A Abuadbba, A Alabdulatif, I Khalil, Z Tari, A Zomaya, ... IEEE Cloud Computing 3 (4), 58-64, 2016 | 73 | 2016 |
| Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things Y Gao, M Kim, C Thapa, A Abuadbba, Z Zhang, S Camtepe, H Kim, ... IEEE Transactions on Computers, 2021 | 52 | 2021 |
| Data conversion systems and methods SA Fernandez, B Conway, D Conway, DJ Gotrik, A Ibaida, ALS Dhiah, ... US Patent 10,587,399, 2020 | 42 | 2020 |
| Walsh–Hadamard-based 3-D steganography for protecting sensitive information in point-of-care A Abuadbba, I Khalil IEEE Transactions on Biomedical Engineering 64 (9), 2186-2195, 2016 | 42 | 2016 |
| Gaussian approximation-based lossless compression of smart meter readings A Abuadbba, I Khalil, X Yu IEEE Transactions on Smart Grid 9 (5), 5047-5056, 2017 | 32 | 2017 |
| Privacy-preserving compression model for efficient IoMT ECG sharing A Ibaida, A Abuadbba, N Chilamkurti Computer Communications 166, 1-8, 2021 | 30 | 2021 |
| Energy-efficient hybrid routing protocol for IoT communication systems in 5G and beyond M Baniata, HT Reda, N Chilamkurti, A Abuadbba Sensors 21 (2), 537, 2021 | 30 | 2021 |
| Quantization backdoors to deep learning commercial frameworks H Ma, H Qiu, Y Gao, Z Zhang, A Abuadbba, M Xue, A Fu, J Zhang, ... IEEE Transactions on Dependable and Secure Computing, 2023 | 28 | 2023 |
| Wavelet based steganographic technique to protect household confidential information and seal the transmitted smart grid readings A Abuadbba, I Khalil Information Systems 53, 224-236, 2015 | 28 | 2015 |
| Dangerous cloaking: Natural trigger based backdoor attacks on object detectors in the physical world H Ma, Y Li, Y Gao, A Abuadbba, Z Zhang, A Fu, H Kim, SF Al-Sarawi, ... arXiv preprint arXiv:2201.08619, 2022 | 23 | 2022 |
| Binarizing split learning for data privacy enhancement and computation reduction ND Pham, A Abuadbba, Y Gao, KT Phan, N Chilamkurti IEEE Transactions on Information Forensics and Security 18, 3088-3100, 2023 | 22 | 2023 |
| Towards IoT Security Automation and Orchestration Y Zheng, A Pal, A Abuadbba, SR Pokhrel, S Nepal, H Janicke 2020 Second IEEE International Conference on Trust, Privacy and Security in …, 2020 | 22 | 2020 |
| Cost-effective authenticated data redaction with privacy protection in IoT F Zhu, X Yi, A Abuadbba, I Khalil, S Nepal, X Huang IEEE Internet of Things Journal 8 (14), 11678-11689, 2021 | 20 | 2021 |
| Robust privacy preservation and authenticity of the collected data in cognitive radio network—Walsh–Hadamard based steganographic approach A Abuadbba, I Khalil, M Atiquzzaman Pervasive and Mobile Computing 22, 58-70, 2015 | 20 | 2015 |
| Deepfake in the Metaverse: Security Implications for Virtual Gaming, Meetings, and Offices S Tariq, A Abuadbba, K Moore ACM ASIACCS 2023, 2023 | 18 | 2023 |
| Reliability and robustness analysis of machine learning based phishing url detectors B Sabir, MA Babar, R Gaire, A Abuadbba IEEE Transactions on Dependable and Secure Computing, 2022 | 18* | 2022 |
| Token-modification adversarial attacks for natural language processing: A survey T Roth, Y Gao, A Abuadbba, S Nepal, W Liu arXiv preprint arXiv:2103.00676, 2021 | 17 | 2021 |
| Can differential privacy practically protect collaborative deep learning inference for IoT? J Ryu, Y Zheng, Y Gao, A Abuadbba, J Kim, D Won, S Nepal, H Kim, ... Wireless Networks, 1-21, 2022 | 16* | 2022 |
Surya NepalCSIRO’s Data61, Australia在 csiro.au 的电子邮件经过验证
