Ivoline C. Ngong

According to our database, Ivoline C. Ngong authored at least 8 papers between 2020 and 2025.

Collaborative distances:

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

2025

SoK: Usability Studies in Differential Privacy.

Onyinye Dibia, Prianka Bhattacharjee, Brad Stenger, Steven Baldasty, Mako Bates, Ivoline C. Ngong, Yuanyuan Feng, Joseph P. Near

Proc. Priv. Enhancing Technol., 2025

Differentially Private Learning Needs Better Model Initialization and Self-Distillation.

Ivoline C. Ngong, Joseph P. Near, Niloofar Mireshghallah

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents.

Ivoline C. Ngong, Swanand Ravindra Kadhe, Hao Wang, Keerthiram Murugesan, Justin D. Weisz, Amit Dhurandhar, Karthikeyan Natesan Ramamurthy

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

SoK: Usability Studies in Differential Privacy.

Onyinye Dibia, Brad Stenger, Steven Baldasty, Mako Bates, Ivoline C. Ngong, Yuanyuan Feng, Joseph P. Near

CoRR, 2024

Evaluating the Usability of Differential Privacy Tools with Data Practitioners.

Ivoline C. Ngong, Brad Stenger, Joseph P. Near, Yuanyuan Feng

Proceedings of the Twentieth Symposium on Usable Privacy and Security, 2024

Olympia: A Simulation Framework for Evaluating the Concrete Scalability of Secure Aggregation Protocols.

Ivoline C. Ngong, Nicholas Gibson, Joseph P. Near

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024

2022

Prediction Sensitivity: Continual Audit of Counterfactual Fairness in Deployed Classifiers.

Krystal Maughan, Ivoline C. Ngong, Joseph P. Near

CoRR, 2022

2020

Towards Auditability for Fairness in Deep Learning.

Ivoline C. Ngong, Krystal Maughan, Joseph P. Near

CoRR, 2020