STAR: Stability-Inducing Weight Perturbation for Continual Learning
International Conference on Learning Representations (ICLR) 2025
Masih Eskandar, Tooba Imtiaz, Davin Hill, Zifeng Wang, Jennifer Dy. Northeastern University, USA
ADAPT to Robustify Prompt Tuning Vision Transformers
Transactions on Machine Learning Research (TMLR)
Masih Eskandar, Tooba Imtiaz, Zifeng Wang, Jennifer Dy. Northeastern University, USA
SAIF: Sparse Adversarial and Imperceptible Attack Framework
Pre-print
Tooba Imtiaz, Morgan Kohler, Jared Miller, Zifeng Wang, Mario Sznaier, Octavia Camps, Jennifer Dy. Northeastern University, USA
Volumetric propagation network: Stereo-lidar fusion for long-range depth estimation
IEEE Robotics and Automation Letters, 2021
Jaesung Choe, Kyungdon Joo, Tooba Imtiaz, In So Kweon. KAIST, S. Korea.
CD-UAP: Class discriminative universal adversarial perturbation
Proceedings of the AAAI Conference on Artificial Intelligence, 2020
Chaoning Zhang, Philipp Benz, Tooba Imtiaz, In-So Kweon. KAIST, S. Korea.
Double targeted universal adversarial perturbations
Proceedings of the Asian Conference on Computer Vision, 2020
Philipp Benz, Chaoning Zhang, Tooba Imtiaz, In So Kweon. KAIST, S. Korea.
Understanding Adversarial Examples From the Mutual Influence of Images and Perturbations
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Chaoning Zhang, Philipp Benz, Tooba Imtiaz, In So Kweon. KAIST, S. Korea.
Data from Model: Extracting Data from Non-robust and Robust Models
CVPR 2020 Workshop on Adversarial Machine Learning in Computer Vision
Philipp Benz, Chaoning Zhang, Tooba Imtiaz, In So Kweon. KAIST, S. Korea.
Universal Adversarial Perturbations are Not Bugs, They are Features
CVPR 2020 Workshop on Adversarial Machine Learning in Computer Vision
Philipp Benz, Chaoning Zhang, Tooba Imtiaz, In So Kweon. KAIST, S. Korea.