no code implementations • 29 Nov 2022 • Enes Altinisik, Safa Messaoud, Husrev Taha Sencar, Sanjay Chawla
Adversarial training has been empirically shown to be more prone to overfitting than standard training.
no code implementations • 10 Nov 2022 • Enes Altinisik, Hassan Sajjad, Husrev Taha Sencar, Safa Messaoud, Sanjay Chawla
Specifically, we study the effect of pre-training data augmentation as well as training time input perturbations vs. embedding space perturbations on the robustness and generalization of transformer-based language models.
2 code implementations • 18 Aug 2020 • Enes Altinisik, Kasim Tasdemir, Husrev Taha Sencar
Estimating the photo-response non-uniformity (PRNU) of an imaging sensor from videos is a challenging task due to complications created by several processing steps in the camera imaging pipeline.
Image and Video Processing Cryptography and Security
1 code implementation • 26 Nov 2019 • Enes Altinisik, Husrev Taha Sencar
Image stabilization performed during imaging and/or post-processing poses one of the most significant challenges to photo-response non-uniformity based source camera attribution from videos.