Enes Altinisik — accepted AI-conference papers

2025

Explaining the role of Intrinsic Dimensionality in Adversarial Training

Enes Altinisik, Safa Messaoud, Husrev Taha Sencar, Hassan Sajjad, Sanjay Chawla

ICML 2025poster

Adversarial Training (AT) impacts different architectures in distinct ways: vision models gain robustness but face reduced generalization, encoder-based models exhibit limited robustness improvements with minimal generalization loss, and recent work in latent-space adversarial training demonstrates…

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2023

Impact of Adversarial Training on Robustness and Generalizability of Language Models

Enes Altinisik, Hassan Sajjad, Husrev Sencar, Safa Messaoud, Sanjay Chawla

ACL 2023findings

Adversarial training is widely acknowledged as the most effective defense against adversarial attacks. However, it is also well established that achieving both robustness and generalization in adversarially trained models involves a trade-off. The goal of this work is to provide an in depth comparis…

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