Nathanael Teissier

According to our database, Nathanael Teissier authored at least 10 papers between 2020 and 2022.

Collaborative distances:

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

2022

Balancing utility and scalability in metric differential privacy.

Jacob Imola, Shiva Prasad Kasiviswanathan, Stephen White, Abhinav Aggarwal, Nathanael Teissier

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Reconstructing Test Labels from Noisy Loss Functions.

Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

On Codomain Separability and Label Inference from (Noisy) Loss Functions.

Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier

CoRR, 2021

On a Utilitarian Approach to Privacy Preserving Text Generation.

Zekun Xu, Abhinav Aggarwal, Oluwaseyi Feyisetan, Nathanael Teissier

CoRR, 2021

Label Inference Attacks from Log-loss Scores.

Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier

Proceedings of the 38th International Conference on Machine Learning, 2021

Density-Aware Differentially Private Textual Perturbations Using Truncated Gumbel Noise.

Nan Xu, Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

Research Challenges in Designing Differentially Private Text Generation Mechanisms.

Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

2020

A Differentially Private Text Perturbation Method Using a Regularized Mahalanobis Metric.

Zekun Xu, Abhinav Aggarwal, Oluwaseyi Feyisetan, Nathanael Teissier

CoRR, 2020

Differentially Private Adversarial Robustness Through Randomized Perturbations.

Nan Xu, Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier

CoRR, 2020

On Primes, Log-Loss Scores and (No) Privacy.

Abhinav Aggarwal, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier

CoRR, 2020