| Membership inference attack on graph neural networks🏆 IE Olatunji, W Nejdl, M Khosla 2021 Third IEEE International Conference on Trust, Privacy and Security in …, 2021 | 97 | 2021 |
| A review of anonymization for healthcare data IE Olatunji, J Rauch, M Katzensteiner, M Khosla Big data, 2022 | 51 | 2022 |
| Releasing graph neural networks with differential privacy guarantees IE Olatunji, T Funke, M Khosla Transactions on Machine Learning Research, 2023 | 43 | 2023 |
| Video analytics for visual surveillance and applications: An overview and survey IE Olatunji, CH Cheng Machine Learning Paradigms: Applications of Learning and Analytics in …, 2019 | 40 | 2019 |
| Mtmr-net: Multi-task deep learning with margin ranking loss for lung nodule analysis L Liu, Q Dou, H Chen, IE Olatunji, J Qin, PA Heng Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018 | 36 | 2018 |
| Context-aware helpfulness prediction for online product reviews IE Olatunji, X Li, W Lam Asia information retrieval symposium, 56-65, 2019 | 18 | 2019 |
| Human activity recognition for mobile robot IE Olatunji Journal of Physics: Conference Series 1069 (1), 012148, 2018 | 15 | 2018 |
| Private graph extraction via feature explanations IE Olatunji, M Rathee, T Funke, M Khosla Proceedings on Privacy Enhancing Technologies 2023 (2), 59–78, 2023 | 9 | 2023 |
| Dynamic threshold for resource tracking in observed scenes IE Olatunji, CH Cheng 2018 9th International Conference on Information, Intelligence, Systems and …, 2018 | 7 | 2018 |
| Does black-box attribute inference attacks on graph neural networks constitute privacy risk? IE Olatunji, A Hizber, O Sihlovec, M Khosla arXiv preprint arXiv:2306.00578, 2023 | 6 | 2023 |
| Achieving differential privacy for -nearest neighbors based outlier detection by data partitioning J Rauch, IE Olatunji, M Khosla arXiv preprint arXiv:2104.07938, 2021 | 5 | 2021 |
| Harnessing constrained resources in service industry via video analytics CH Cheng, IE Olatunji arXiv preprint arXiv:1807.00139, 2018 | 5 | 2018 |
| All Reviews Are Not Equal: Helpfulness Prediction for Online Product IE OLATUNJI The Chinese University of Hong Kong, 2020 | | 2020 |
| AIS Electronic Library (AISeL) IE Olatunj, W Kuen, S Eric, S Papagiannidis | | 2019 |
| Longitudinal Analysis of Economic Clusters: A Novel Methodology and Application of UK Regions IE Olatunj, WK SEE-TO, S Papagiannidis | | 2019 |
| Open LLMs are Necessary for Private Adaptations and Outperform their Closed Alternatives V Hanke, T Blanchard, F Boenisch, IE Olatunji, M Backes, A Dziedzic ICML 2024 Workshop on Foundation Models in the Wild, 0 | | |
Megha KhoslaAssistant Professor at TU Delft在 tudelft.nl 的电子邮件经过验证
