3 citations · 3 across the 9 of their papers we have counts for
5 papers · 1 filter
EditSleuth: A Dataset of Grounded Reasoning Chains for Image-Edit Forensics
Van-Loc Nguyen, AprilPyone MaungMaung, Minh-Triet Tran +1
Forensic analysis of AI-edited images requires more than binary real-versus-fake prediction: a useful system should localize the edit, identify its semantic type, and ground its de…
Multimodal Adversarial Defense for Vision-Language Models by Leveraging One-To-Many Relationships
Futa Waseda, Antonio Tejero-de-Pablos, Isao Echizen
Pre-trained vision-language (VL) models are highly vulnerable to adversarial attacks. However, existing defense methods primarily focus on image classification, overlooking two key…
Fine-Tuning Text-To-Image Diffusion Models for Class-Wise Spurious Feature Generation
AprilPyone MaungMaung, Huy H. Nguyen, Hitoshi Kiya +1
We propose a method for generating spurious features by leveraging large-scale text-to-image diffusion models. Although the previous work detects spurious features in a large-scale…
Efficient Key-Based Adversarial Defense for ImageNet by Using Pre-trained Model
AprilPyone MaungMaung, Isao Echizen, Hitoshi Kiya
In this paper, we propose key-based defense model proliferation by leveraging pre-trained models and utilizing recent efficient fine-tuning techniques on ImageNet-1k classification…
Hindering Adversarial Attacks with Multiple Encrypted Patch Embeddings
AprilPyone MaungMaung, Isao Echizen, Hitoshi Kiya
In this paper, we propose a new key-based defense focusing on both efficiency and robustness. Although the previous key-based defense seems effective in defending against adversari…