Dynamic Threshold for Resource Tracking in Observed Scenes. - Iyiola E. Olatunji; Chun-Hung Cheng 001 (IISA, 2018)

MTMR-Net: Multi-task Deep Learning with Margin Ranking Loss for Lung Nodule Analysis. - Lihao Liu; Qi Dou 001; Hao Chen 011; Iyiola E. Olatunji; Jing Qin 001; Pheng-Ann Heng (DLMIA/ML-CDS@MICCAI, 2018)

Human Activity Recognition for Mobile Robot. - Iyiola E. Olatunji (CoRR, 2018)

Harnessing constrained resources in service industry via video analytics. - Chun-Hung Cheng 001; Iyiola E. Olatunji (CoRR, 2018)

Context-Aware Helpfulness Prediction for Online Product Reviews. - Iyiola E. Olatunji; Xin Li 056; Wai Lam (AIRS, 2019)

Membership Inference Attack on Graph Neural Networks. - Iyiola E. Olatunji; Wolfgang Nejdl; Megha Khosla (TPS-ISA, 2021)

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

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

Releasing Graph Neural Networks with Differential Privacy Guarantees. - Iyiola E. Olatunji; Thorben Funke; Megha Khosla (Trans. Mach. Learn. Res., 2023)

Private Graph Extraction via Feature Explanations. - Iyiola E. Olatunji; Mandeep Rathee; Thorben Funke; Megha Khosla (Proc. Priv. Enhancing Technol., 2023)

Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives. - Vincent Hanke; Tom Blanchard; Franziska Boenisch; Iyiola E. Olatunji; Michael Backes 001; Adam Dziedzic (NeurIPS, 2024)

A Review of Anonymization for Healthcare Data. - Iyiola E. Olatunji; Jens Rauch; Matthias Katzensteiner; Megha Khosla (Big Data, 2024)

Privacy-preserving graph machine learning - Iyiola E. Olatunji (2024)

SCOOTER: A Human Evaluation Framework for Unrestricted Adversarial Examples. - Dren Fazlija; Monty-Maximilian Zühlke; Johanna Schrader; Arkadij Orlov; Clara Stein; Iyiola E. Olatunji; Daniel Kudenko (CoRR, 2025)

Adversarial Attacks and Defenses on Graph-aware Large Language Models (LLMs). - Iyiola E. Olatunji; Franziska Boenisch; Jing Xu; Adam Dziedzic (CoRR, 2025)