29 citations · 90 across the 24 of their papers we have counts for
4 papers · 1 filter
Explaining the role of Intrinsic Dimensionality in Adversarial Training
Enes Altinisik, Safa Messaoud, Husrev Taha Sencar +2
Adversarial Training (AT) impacts different architectures in distinct ways: vision models gain robustness but face reduced generalization, encoder-based models exhibit limited robu…
A3T: Accuracy Aware Adversarial Training
Enes Altinisik, Safa Messaoud, Husrev Taha Sencar +1
Adversarial training has been empirically shown to be more prone to overfitting than standard training. The exact underlying reasons still need to be fully understood. In this pape…
GREENER: Graph Neural Networks for News Media Profiling
Panayot Panayotov, Utsav Shukla, Husrev Taha Sencar +2
We study the problem of profiling news media on the Web with respect to their factuality of reporting and bias. This is an important but under-studied problem related to disinforma…
Ten Years after ImageNet: A 360° Perspective on AI
Sanjay Chawla, Preslav Nakov, Ahmed Ali +7
It is ten years since neural networks made their spectacular comeback. Prompted by this anniversary, we take a holistic perspective on Artificial Intelligence (AI). Supervised Lear…