Publications

Iyiola E. Olatunji, Mandeep Rathee, Thorben Funke, Megha Khosla (2023). Private graph extraction via feature explanations. Proceedings on Privacy Enhancing Technologies (PETS).

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Iyiola E. Olatunji, Thorben Funke, Megha Khosla (2023). Releasing graph neural networks with differential privacy guarantees. Transactions on Machine Learning Research (TMLR).

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Iyiola E. Olatunji, Anmar Hizber, Oliver Sihlovec, Megha Khosla (2023). Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk?. ArXiv.

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Iyiola E. Olatunji, Jens Rauch, Matthias Katzensteiner, Megha Khosla (2022). A review of anonymization for healthcare data. Big Data.

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Iyiola E. Olatunji, Wolfgang Nejdl, Megha Khosla (2021). Membership inference attack on graph neural networks. 2021 Third IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA).

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Jens Rauch, Iyiola E. Olatunji, Megha Khosla (2021). Achieving differential privacy for k-nearest neighbors based outlier detection by data partitioning. ArXiv.

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Iyiola E. Olatunji, Xin Li, Wai Lam (2019). Context-Aware Helpfulness Prediction for Online Product Reviews. Asia Information Retrieval Symposium.

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Iyiola E. Olatunji, Chun-Hung Cheng (2019). Video analytics for visual surveillance and applications: An overview and survey. Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems.

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Lihao Liu, Qi Dou, Hao Chen, Iyiola E. Olatunji, Jing Qin, Pheng-Ann Heng (2018). Mtmr-net: Multi-task deep learning with margin ranking loss for lung nodule analysis. Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: 4th International Workshop, DLMIA 2018, Held in Conjunction with MICCAI 2018.

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