UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging. - Chaoning Zhang; Philipp Benz; Adil Karjauv; Geng Sun; In So Kweon (NeurIPS, 2020)

Robustness May Be at Odds with Fairness: An Empirical Study on Class-wise Accuracy. - Philipp Benz; Chaoning Zhang; Adil Karjauv; In So Kweon (Preregister@NeurIPS, 2020)

Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards a Fourier Perspective. - Chaoning Zhang; Philipp Benz; Adil Karjauv; In So Kweon (AAAI, 2021)

Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs. - Philipp Benz; Soomin Ham; Chaoning Zhang; Adil Karjauv; In So Kweon (BMVC, 2021)

Data-free Universal Adversarial Perturbation and Black-box Attack. - Chaoning Zhang; Philipp Benz; Adil Karjauv; In So Kweon (ICCV, 2021)

Universal Adversarial Training with Class-Wise Perturbations. - Philipp Benz; Chaoning Zhang; Adil Karjauv; In So Kweon (ICME, 2021)

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; In So Kweon (ICME, 2021)

A Survey on Universal Adversarial Attack. - Chaoning Zhang; Philipp Benz; Chenguo Lin; Adil Karjauv; Jing Wu; In So Kweon (IJCAI, 2021)

Towards Robust Deep Hiding Under Non-Differentiable Distortions for Practical Blind Watermarking. - Chaoning Zhang; Adil Karjauv; Philipp Benz; In So Kweon (ACM Multimedia, 2021)

Revisiting Batch Normalization for Improving Corruption Robustness. - Philipp Benz; Chaoning Zhang; Adil Karjauv; In So Kweon (WACV, 2021)

Towards Robust Data Hiding Against (JPEG) Compression: A Pseudo-Differentiable Deep Learning Approach. - Chaoning Zhang; Adil Karjauv; Philipp Benz; In So Kweon (CoRR, 2021)

Investigating Top-k White-Box and Transferable Black-box Attack. - Chaoning Zhang; Philipp Benz; Adil Karjauv; Jae-Won Cho; Kang Zhang 008; In So Kweon (CVPR, 2022)

Simple Techniques are Sufficient for Boosting Adversarial Transferability. - Chaoning Zhang; Philipp Benz; Adil Karjauv; In So Kweon; Choong Seon Hong (ACM Multimedia, 2023)

Object-Centric Diffusion for Efficient Video Editing. - Kumara Kahatapitiya; Adil Karjauv; Davide Abati; Fatih Porikli; Yuki M. Asano; Amirhossein Habibian (ECCV (57), 2024)

MoViE: Mobile Diffusion for Video Editing. - Adil Karjauv; Noor Fathima; Ioannis Lelekas; Fatih Porikli; Amir Ghodrati; Amirhossein Habibian (CoRR, 2024)

ADAPTOR: Adaptive Token Reduction for Video Diffusion Transformers. - Elia Peruzzo; Adil Karjauv; Nicu Sebe; Amir Ghodrati; AmirHossein Habibian (CVPR Workshops, 2025)