Ankita Shukla

  • Ensemble Generative Cleaning with Feedback Loops for Defending Adversarial Attacks
    Jianhe Yuan and Zhihai He
  • Defending Against Universal Attacks Through Selective Feature Regeneration
    Tejas Borkar, Felix Heide, Lina Karam
  • Defending and Harnessing the Bit-Flip based Adversarial Weight Attack
    Zhezhi He, Adnan Siraj Rakin, Jingtao Li, Chaitali Chakrabarti and Deliang Fan
  • Defending Against Model Stealing Attacks with Adaptive Misinformation
    Sanjay Kariyappa, Moinuddin K Qureshi
  • Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations
    Jeet Mohapatra, Tsui-Wei Weng. Pin-Yu Chen2, Sijia Liu2 and Luca Daniel
  • GeoDA: a geometric framework for black-box adversarial attacks
    Ali Rahmati, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, and Huaiyu Dai
  • One Man’s Trash is Another Man’s Treasure: Resisting Adversarial Examples by Adversarial Examples
    Chang Xiao Changxi Zheng
  • A Self-supervised Approach for Adversarial Robustness
    Muzammal Naseer, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan , Fatih Porikli

Ankita Shukla

  • Ankita Shukla
  • ankitas@unr.edu
  • ankita-shukla

Machine Learning and Computer Vision