Ilana Sebag

According to our database, Ilana Sebag authored at least 6 papers between 2023 and 2026.

Collaborative distances:

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

2026

Learning Under Privacy Constraints : On the Privacy-Utility Trade-Off in Differentially Private Generative and Optimization Methods. (Apprentissage sous contraintes de confidentialité : compromis confidentialité-utilité pour les modèles génératifs et les méthodes d'optimisation différentiellement privées).

Ilana Sebag

PhD thesis, 2026

2025

On the MIA Vulnerability Gap Between Private GANs and Diffusion Models.

Ilana Sebag, Jean-Yves Franceschi, Alain Rakotomamonjy, Alexandre Allauzen, Jamal Atif

CoRR, September, 2025

Differentially Private Gradient Flow based on the Sliced Wasserstein Distance.

Ilana Sebag, Muni Sreenivas Pydi, Jean-Yves Franceschi, Alain Rakotomamonjy, Mike Gartrell, Jamal Atif, Alexandre Allauzen

Trans. Mach. Learn. Res., 2025

2023

Differentially Private Gradient Flow based on the Sliced Wasserstein Distance for Non-Parametric Generative Modeling.

Ilana Sebag, Muni Sreenivas Pydi, Jean-Yves Franceschi, Alain Rakotomamonjy, Mike Gartrell, Jamal Atif, Alexandre Allauzen

CoRR, 2023

Adversarial Conversational Shaping for Intelligent Agents.

Piotr Tarasiewicz, Sultan Kenjeyev, Ilana Sebag, Shehab Alshehabi

CoRR, 2023

On Combining Expert Demonstrations in Imitation Learning via Optimal Transport.

Ilana Sebag, Samuel Cohen, Marc Peter Deisenroth

CoRR, 2023