Publications

2024

1. Preprint

   MoViE: Mobile Diffusion for Video Editing

   Adil Karjauv^*, Noor Fathima^*, Ioannis Lelekas, Fatih Porikli, and 2 more authors

   Preprint, 2024

   PDF Website
2. ECCV

   Object-Centric Diffusion for Efficient Video Editing

   Kumara Kahatapitiya, Adil Karjauv, Davide Abati, Fatih Porikli, and 2 more authors

   In European Conference on Computer Vision (ECCV), 2024

   PDF Website

2023

1. ACM MM

   Simple Techniques are Sufficient for Boosting Adversarial Transferability

   Chaoning Zhang, Philipp Benz, Adil Karjauv, In So Kweon, and 1 more author

   In Proceedings of the 31st ACM International Conference on Multimedia (ACM MM), 2023

   Website

2022

1. CVPR

   Investigating Top-k White-Box and Transferable Black-box Attack

   Chaoning Zhang, Philipp Benz, Adil Karjauv, Jae Won Cho, and 2 more authors

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022

   PDF

2021

1. BMVC

   Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs

   Philipp Benz^*, Soomin Ham^*, Chaoning Zhang^*, Adil Karjauv, and 1 more author

   In British Machine Vision Conference (BMVC), 2021

   PDF
2. ACM MM

   Towards Robust Deep Hiding Under Non-Differentiable Distortions for Practical Blind Watermarking

   Chaoning Zhang^*, Adil Karjauv^*, Philipp Benz^*, and In So Kweon

   In Proceedings of the 29th ACM International Conference on Multimedia (ACM MM), 2021

   Website
3. ICCV

   Data-free Universal Adversarial Perturbation and Black-box Attack

   Chaoning Zhang^*, Philipp Benz^*, Adil Karjauv^*, and In So Kweon

   In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021

   PDF
4. IJCAI

   A Survey on Universal Adversarial Attack

   Chaoning Zhang^*, Philipp Benz^*, Chenguo Lin^*, Adil Karjauv, and 2 more authors

   In International Joint Conference on Artificial Intelligence (IJCAI), 2021

   PDF
5. ICME

   Universal Adversarial Training with Class-Wise Perturbations

   Philipp Benz^*, Chaoning Zhang^*, Adil Karjauv, and In So Kweon

   In 2021 IEEE International Conference on Multimedia and Expo (ICME), 2021

   PDF
6. ICME

   Motionsnap: A Motion Sensor-Based Approach for Automatic Capture and Editing of Photos and Videos on Smartphones

   Adil Karjauv^*, Sanzhar Bakhtiyarov^*, Chaoning Zhang, Jean-Charles Bazin, and 1 more author

   In 2021 IEEE International Conference on Multimedia and Expo (ICME), 2021

   Website
7. AAAI

   Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards A Fourier Perspective

   Chaoning Zhang^*, Philipp Benz^*, Adil Karjauv, and In So Kweon

   In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021

   PDF
8. WACV

   Revisiting Batch Normalization for Improving Corruption Robustness

   Philipp Benz^*, Chaoning Zhang^*, Adil Karjauv, and In So Kweon

   In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021

   PDF
9. CVPR Workshop

   Is FGSM Optimal or Necessary for L∞ Adversarial Attack?

   Chaoning Zhang^*, Adil Karjauv^*, Philipp Benz^*, Soomin Ham, and 3 more authors

   In Workshop on Adversarial Machine Learning in Real-World Computer Vision Systems and Online Challenges (CVPR AML-CV Workshop), 2021

   PDF
10. ICLR Workshop

    On Strength and Transferability of Adversarial Examples: Stronger Attack Transfers Better

    Chaoning Zhang^*, Philipp Benz^*, Adil Karjauv^*, and In So Kweon

    In Robust and Reliable Machine Learning in the Real World Workshop (ICLR Workshop), 2021
11. ICLR Workshop

    Stochastic Depth Boosts Transferability of Non-targeted and Targeted Adversarial Attacks

    Chaoning Zhang^*, Philipp Benz^*, Adil Karjauv^*, and In So Kweon

    In Robust and Reliable Machine Learning in the Real World Workshop (ICLR Workshop), 2021
12. ICLR Workshop

    Towards Data-free Universal Adversarial Perturbations with Artificial Jigsaw Images

    Chaoning Zhang^*, Philipp Benz^*, Adil Karjauv^*, Jae Won Cho, and 1 more author

    In Robust and Reliable Machine Learning in the Real World Workshop (ICLR Workshop), 2021

2020

1. NeurIPS

   UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging

   Chaoning Zhang^*, Philipp Benz^*, Adil Karjauv^*, Geng Sun, and 1 more author

   Advances in Neural Information Processing Systems (NeurIPS), 2020

   PDF Code