Iyiola E. Olatunji

27 papers A* 1Journal 21Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Correctness isnt Efficiency: Runtime Memory Divergence in LLM-Generated Code. CoRR Prateek Rajput, Yewei Song, Abdoul Aziz Bonkoungou, Iyiola E. Olatunji, Abdoul Kader Kaboré, Jacques Klein, Tegawendé F. Bissyandé
2026	J	`jnl`	How Secure is Secure Code Generation? Adversarial Prompts Put LLM Defenses to the Test. CoRR Melissa Tessa, Iyiola E. Olatunji, Aicha War, Jacques Klein, Tegawendé F. Bissyandé
2026	J	`jnl`	Towards Sensitivity-Aware Language Models. CoRR Dren Fazlija, Iyiola E. Olatunji, Daniel Kudenko, Sandipan Sikdar
2025	J	`jnl`	Adversarial Attacks and Defenses on Graph-aware Large Language Models (LLMs). CoRR Iyiola E. Olatunji, Franziska Boenisch, Jing Xu, Adam Dziedzic
2025	J	`jnl`	Beyond Real Faces: Synthetic Datasets Can Achieve Reliable Recognition Performance without Privacy Compromise. CoRR Pawel Jakub Borsukiewicz, Fadi Boutros, Iyiola E. Olatunji, Charles Beumier, Wendkûuni C. Ouédraogo, Jacques Klein, Tegawendé F. Bissyandé
2025	J	`jnl`	Dynamic Stability of LLM-Generated Code. CoRR Prateek Rajput, Abdoul Aziz Bonkoungou, Yewei Song, Abdoul Kader Kaboré, Iyiola E. Olatunji, Jacques Klein, Tegawendé F. Bissyandé
2025	J	`jnl`	Reinforcement Learning-Guided Chain-of-Draft for Token-Efficient Code Generation. CoRR Xunzhu Tang, Iyiola E. Olatunji, Tiezhu Sun, Jacques Klein, Tegawendé F. Bissyandé
2025	J	`jnl`	SCOOTER: A Human Evaluation Framework for Unrestricted Adversarial Examples. CoRR Dren Fazlija, Monty-Maximilian Zühlke, Johanna Schrader, Arkadij Orlov, Clara Stein, Iyiola E. Olatunji, Daniel Kudenko
2024	J	`jnl`	A Review of Anonymization for Healthcare Data. Big Data Iyiola E. Olatunji, Jens Rauch, Matthias Katzensteiner, Megha Khosla
2024	A*	`conf`	Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives. NeurIPS Vincent Hanke, Tom Blanchard, Franziska Boenisch, Iyiola E. Olatunji, Michael Backes, Adam Dziedzic
2024	J	`jnl`	Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives. CoRR Vincent Hanke, Tom Blanchard, Franziska Boenisch, Iyiola E. Olatunji, Michael Backes, Adam Dziedzic
2024	—	`—`	Privacy-preserving graph machine learning Iyiola E. Olatunji
2023	J	`jnl`	Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk? CoRR Iyiola E. Olatunji, Anmar Hizber, Oliver Sihlovec, Megha Khosla
2023	J	`jnl`	Private Graph Extraction via Feature Explanations. Proc. Priv. Enhancing Technol. Iyiola E. Olatunji, Mandeep Rathee, Thorben Funke, Megha Khosla
2023	J	`jnl`	Releasing Graph Neural Networks with Differential Privacy Guarantees. Trans. Mach. Learn. Res. Iyiola E. Olatunji, Thorben Funke, Megha Khosla
2022	J	`jnl`	Private Graph Extraction via Feature Explanations. CoRR Iyiola E. Olatunji, Mandeep Rathee, Thorben Funke, Megha Khosla
2021	J	`jnl`	A Review of Anonymization for Healthcare Data. CoRR Iyiola E. Olatunji, Jens Rauch, Matthias Katzensteiner, Megha Khosla
2021	J	`jnl`	Achieving differential privacy for k-nearest neighbors based outlier detection by data partitioning. CoRR Jens Rauch, Iyiola E. Olatunji, Megha Khosla
2021	—	`conf`	Membership Inference Attack on Graph Neural Networks. TPS-ISA Iyiola E. Olatunji, Wolfgang Nejdl, Megha Khosla
2021	J	`jnl`	Membership Inference Attack on Graph Neural Networks. CoRR Iyiola E. Olatunji, Wolfgang Nejdl, Megha Khosla
2021	J	`jnl`	Releasing Graph Neural Networks with Differential Privacy Guarantees. CoRR Iyiola E. Olatunji, Thorben Funke, Megha Khosla
2020	J	`jnl`	Context-aware Helpfulness Prediction for Online Product Reviews. CoRR Iyiola E. Olatunji, Xin Li, Wai Lam
2019	—	`conf`	Context-Aware Helpfulness Prediction for Online Product Reviews. AIRS Iyiola E. Olatunji, Xin Li, Wai Lam
2018	—	`conf`	Dynamic Threshold for Resource Tracking in Observed Scenes. IISA Iyiola E. Olatunji, Chun-Hung Cheng
2018	J	`jnl`	Harnessing constrained resources in service industry via video analytics. CoRR Chun-Hung Cheng, Iyiola E. Olatunji
2018	J	`jnl`	Human Activity Recognition for Mobile Robot. CoRR Iyiola E. Olatunji
2018	—	`conf`	MTMR-Net: Multi-task Deep Learning with Margin Ranking Loss for Lung Nodule Analysis. DLMIA/ML-CDS@MICCAI Lihao Liu, Qi Dou, Hao Chen, Iyiola E. Olatunji, Jing Qin, Pheng-Ann Heng