activity
20192022
most citedA Survey on Predicting the Factuality and the Bias of News Media

13 citations · 15 across the 5 of their papers we have counts for

collaborators

8 papers

cs.LG2022

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…

cs.LG2022

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…

cs.LG20222 cited

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…

cs.CR2021

BLEKeeper: Response Time Behavior Based Man-In-The-Middle Attack Detection

Muhammed Ali Yurdagul, Husrev Taha Sencar

Bluetooth Low Energy (BLE) has become one of the most popular wireless communication protocols and is used in billions of smart devices. Despite several security features, the hard…

cs.SI202113 cited

A Survey on Predicting the Factuality and the Bias of News Media

Preslav Nakov, Husrev Taha Sencar, Jisun An +1

The present level of proliferation of fake, biased, and propagandistic content online has made it impossible to fact-check every single suspicious claim or article, either manually…

eess.AS2020

Estimating Uniqueness of I-Vector Representation of Human Voice

Erkam Sinan Tandogan, Husrev Taha Sencar

We study the individuality of the human voice with respect to a widely used feature representation of speech utterances, namely, the i-vector model. As a first step toward this goa…