6 citations · 6 across the 5 of their papers we have counts for
5 papers
SC-Pro: Training-Free Framework for Defending Unsafe Image Synthesis Attack
Junha Park, Jaehui Hwang, Ian Ryu +3
With advances in diffusion models, image generation has shown significant performance improvements. This raises concerns about the potential abuse of image generation, such as the…
Anomaly Score: Evaluating Generative Models and Individual Generated Images based on Complexity and Vulnerability
Jaehui Hwang, Junghyuk Lee, Jong-Seok Lee
With the advancement of generative models, the assessment of generated images becomes more and more important. Previous methods measure distances between features of reference and…
Similarity of Neural Architectures using Adversarial Attack Transferability
Jaehui Hwang, Dongyoon Han, Byeongho Heo +3
In recent years, many deep neural architectures have been developed for image classification. Whether they are similar or dissimilar and what factors contribute to their (dis)simil…
Temporal Shuffling for Defending Deep Action Recognition Models against Adversarial Attacks
Jaehui Hwang, Huan Zhang, Jun-Ho Choi +2
Recently, video-based action recognition methods using convolutional neural networks (CNNs) achieve remarkable recognition performance. However, there is still lack of understandin…
Just One Moment: Structural Vulnerability of Deep Action Recognition against One Frame Attack
Jaehui Hwang, Jun-Hyuk Kim, Jun-Ho Choi +1
The video-based action recognition task has been extensively studied in recent years. In this paper, we study the structural vulnerability of deep learning-based action recognition…