Iyiola E. Olatunji

According to our database, Iyiola E. Olatunji authored at least 25 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Predictable Confabulations: Factual Recall by LLMs Scales with Model Size and Topic Frequency.

Matthew L. Smith, Jonathan P. Shock, Samuel T. Segun, Iyiola E. Olatunji, Tegawendé F. Bissyandé

CoRR, May, 2026

Evaluation Drift in LLM Personality Induction: Are We Moving the Goalpost?

Prateek Rajput, Yewei Song, Iyiola E. Olatunji, Jacques Klein, Tegawendé F. Bissyandé

CoRR, May, 2026

Towards Sensitivity-Aware Language Models.

Dren Fazlija, Iyiola E. Olatunji, Daniel Kudenko, Sandipan Sikdar

CoRR, January, 2026

How Secure is Secure Code Generation? Adversarial Prompts Put LLM Defenses to the Test.

Melissa Tessa, Iyiola E. Olatunji, Aicha War, Jacques Klein, Tegawendé F. Bissyandé

CoRR, January, 2026

Correctness isnt Efficiency: Runtime Memory Divergence in LLM-Generated Code.

Prateek Rajput, Yewei Song, Abdoul Aziz Bonkoungou, Iyiola E. Olatunji, Abdoul Kader Kaboré, Jacques Klein, Tegawendé F. Bissyandé

CoRR, January, 2026

2025

From Rookie to Expert: Manipulating LLMs for Automated Vulnerability Exploitation in Enterprise Software.

Moustapha Awwalou Diouf, Maimouna Tamah Diao, Iyiola Emmanuel Olatunji, Abdoul Kader Kaboré, Jordan Samhi, Gervais Mendy, Samuel Ouya, Jacques Klein, Tegawendé F. Bissyandé

CoRR, December, 2025

Dynamic Stability of LLM-Generated Code.

Prateek Rajput, Abdoul Aziz Bonkoungou, Yewei Song, Abdoul Kader Kaboré, Iyiola E. Olatunji, Jacques Klein, Tegawendé F. Bissyandé

CoRR, November, 2025

Characterizing Build Compromises Through Vulnerability Disclosure Analysis.

Maimouna Tamah Diao, Moustapha Awwalou Diouf, Iyiola Emmanuel Olatunji, Abdoul Kader Kaboré, Gervais Mendy, Jacques Klein, Tegawendé F. Bissyandé

CoRR, November, 2025

Beyond Real Faces: Synthetic Datasets Can Achieve Reliable Recognition Performance without Privacy Compromise.

Pawel Jakub Borsukiewicz, Fadi Boutros, Iyiola E. Olatunji, Charles Beumier, Wendkûuni C. Ouédraogo, Jacques Klein, Tegawendé F. Bissyandé

CoRR, October, 2025

Reinforcement Learning-Guided Chain-of-Draft for Token-Efficient Code Generation.

Xunzhu Tang, Iyiola E. Olatunji, Tiezhu Sun, Jacques Klein, Tegawendé F. Bissyandé

CoRR, September, 2025

Adversarial Attacks and Defenses on Graph-aware Large Language Models (LLMs).

Iyiola E. Olatunji, Franziska Boenisch, Jing Xu, Adam Dziedzic

CoRR, August, 2025

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, July, 2025

2024

Privacy-preserving graph machine learning

Iyiola E. Olatunji

PhD thesis, 2024

A Review of Anonymization for Healthcare Data.

Iyiola E. Olatunji, Jens Rauch, Matthias Katzensteiner, Megha Khosla

Big Data, 2024

Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives.

Vincent Hanke, Tom Blanchard, Franziska Boenisch, Iyiola E. Olatunji, Michael Backes, Adam Dziedzic

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Private Graph Extraction via Feature Explanations.

Iyiola E. Olatunji, Mandeep Rathee, Thorben Funke, Megha Khosla

Proc. Priv. Enhancing Technol., April, 2023

Releasing Graph Neural Networks with Differential Privacy Guarantees.

Iyiola E. Olatunji, Thorben Funke, Megha Khosla

Trans. Mach. Learn. Res., 2023

Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk?

Iyiola E. Olatunji, Anmar Hizber, Oliver Sihlovec, Megha Khosla

CoRR, 2023

2021

Achieving differential privacy for k-nearest neighbors based outlier detection by data partitioning.

Jens Rauch, Iyiola E. Olatunji, Megha Khosla

CoRR, 2021

Membership Inference Attack on Graph Neural Networks.

Iyiola E. Olatunji, Wolfgang Nejdl, Megha Khosla

Proceedings of the 3rd IEEE International Conference on Trust, 2021

2019

Context-Aware Helpfulness Prediction for Online Product Reviews.

Iyiola E. Olatunji, Xin Li, Wai Lam

Proceedings of the Information Retrieval Technology, 2019

2018

Harnessing constrained resources in service industry via video analytics.

Chun-Hung Cheng, Iyiola E. Olatunji

CoRR, 2018

Human Activity Recognition for Mobile Robot.

Iyiola E. Olatunji

CoRR, 2018

MTMR-Net: Multi-task Deep Learning with Margin Ranking Loss for Lung Nodule Analysis.

Lihao Liu, Qi Dou, Hao Chen, Iyiola E. Olatunji, Jing Qin, Pheng-Ann Heng

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Dynamic Threshold for Resource Tracking in Observed Scenes.

Iyiola E. Olatunji, Chun-Hung Cheng

Proceedings of the 9th International Conference on Information, 2018