11 papers
Anchor-Regularized Adaptation for Generalizable AI-Generated Image Detection with DINOv3
Hyeongjun Choi, Juhun Lee, Davide Cozzolino +2
Recent works in AI-generated image detection have shown that careful training data alignment can improve generalization by removing spurious correlations. However, linear probes on…
DIA: The Adversarial Exposure of Deterministic Inversion in Diffusion Models
Seunghoo Hong, Geonho Son, Juhun Lee +1
Diffusion models have shown to be strong representation learners, showcasing state-of-the-art performance across multiple domains. Aside from accelerated sampling, DDIM also enable…
Fitting Image Diffusion Models on Video Datasets
Juhun Lee, Simon S. Woo
Image diffusion models are trained on independently sampled static images. While this is the bedrock task protocol in generative modeling, capturing the temporal world through the…
PromptFlare: Prompt-Generalized Defense via Cross-Attention Decoy in Diffusion-Based Inpainting
Hohyun Na, Seunghoo Hong, Simon S. Woo
The success of diffusion models has enabled effortless, high-quality image modifications that precisely align with users' intentions, thereby raising concerns about their potential…
Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models
Eunseo Koh, Seunghoo Hong, Tae-Young Kim +2
Text-to-Image (T2I) diffusion models have made significant progress in generating diverse high-quality images from textual prompts. However, these models still face challenges in s…
MIXAD: Memory-Induced Explainable Time Series Anomaly Detection
Minha Kim, Kishor Kumar Bhaumik, Amin Ahsan Ali +1
For modern industrial applications, accurately detecting and diagnosing anomalies in multivariate time series data is essential. Despite such need, most state-of-the-art methods of…
SSMT: Few-Shot Traffic Forecasting with Single Source Meta-Transfer
Kishor Kumar Bhaumik, Minha Kim, Fahim Faisal Niloy +2
Traffic forecasting in Intelligent Transportation Systems (ITS) is vital for intelligent traffic prediction. Yet, ITS often relies on data from traffic sensors or vehicle devices,…
Disrupting Diffusion-based Inpainters with Semantic Digression
Geonho Son, Juhun Lee, Simon S. Woo
The fabrication of visual misinformation on the web and social media has increased exponentially with the advent of foundational text-to-image diffusion models. Namely, Stable Diff…
Continuous Memory Representation for Anomaly Detection
Joo Chan Lee, Taejune Kim, Eunbyung Park +2
There have been significant advancements in anomaly detection in an unsupervised manner, where only normal images are available for training. Several recent methods aim to detect a…
Source-Free Online Domain Adaptive Semantic Segmentation of Satellite Images under Image Degradation
Fahim Faisal Niloy, Kishor Kumar Bhaumik, Simon S. Woo
Online adaptation to distribution shifts in satellite image segmentation stands as a crucial yet underexplored problem. In this paper, we address source-free and online domain adap…
All but One: Surgical Concept Erasing with Model Preservation in Text-to-Image Diffusion Models
Seunghoo Hong, Juhun Lee, Simon S. Woo
Text-to-Image models such as Stable Diffusion have shown impressive image generation synthesis, thanks to the utilization of large-scale datasets. However, these datasets may conta…