Browsing by Author "Usama, Muhammad"

Now showing items 1-3 of 3

    • A deep dive into COVID-19-related messages on WhatsApp in Pakistan 

      Javed, R. Tallal; Usama, Muhammad; Iqbal, Waleed; Qadir, Junaid; Tyson, Gareth; ... more authors ( Springer , 2022 , Article)
      The spread of COVID-19 and the lockdowns that followed led to an increase in activity on online social networks. This has resulted in users sharing unfiltered and unreliable information on social networks like WhatsApp, ...

    • Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning 

      Ilahi, Inaam; Usama, Muhammad; Qadir, Junaid; Janjua, Muhammad Umar; Al-Fuqaha, Ala; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
      Deep reinforcement learning (DRL) has numerous applications in the real world, thanks to its ability to achieve high performance in a range of environments with little manual oversight. Despite its great advantages, DRL ...

    • Fake visual content detection using two-stream convolutional neural networks 

      Yousaf, Bilal; Usama, Muhammad; Sultani, Waqas; Mahmood, Arif; Qadir, Junaid ( Springer Science and Business Media Deutschland GmbH , 2022 , Article)
      Rapid progress in adversarial learning has enabled the generation of realistic-looking fake visual content. To distinguish between fake and real visual content, several detection techniques have been proposed. The performance ...