3 citations · 10 across the 17 of their papers we have counts for
17 papers
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…
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks
Jia Chengyu, AprilPyone MaungMaung, Huy H. Nguyen +2
Recent advances in vision-language models (VLMs) trained on web-scale image-text pairs have enabled impressive zero-shot transfer across a diverse range of visual tasks. However, c…
Mitigating Backdoor Attacks using Activation-Guided Model Editing
Felix Hsieh, Huy H. Nguyen, AprilPyone MaungMaung +2
Backdoor attacks compromise the integrity and reliability of machine learning models by embedding a hidden trigger during the training process, which can later be activated to caus…
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…
Stability Analysis of ChatGPT-based Sentiment Analysis in AI Quality Assurance
Tinghui Ouyang, AprilPyone MaungMaung, Koichi Konishi +2
In the era of large AI models, the complex architecture and vast parameters present substantial challenges for effective AI quality management (AIQM), e.g. large language model (LL…
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…
Generative Model-Based Attack on Learnable Image Encryption for Privacy-Preserving Deep Learning
AprilPyone MaungMaung, Hitoshi Kiya
In this paper, we propose a novel generative model-based attack on learnable image encryption methods proposed for privacy-preserving deep learning. Various learnable encryption me…
Text-Guided Scene Sketch-to-Photo Synthesis
AprilPyone MaungMaung, Makoto Shing, Kentaro Mitsui +2
We propose a method for scene-level sketch-to-photo synthesis with text guidance. Although object-level sketch-to-photo synthesis has been widely studied, whole-scene synthesis is…
Color-NeuraCrypt: Privacy-Preserving Color-Image Classification Using Extended Random Neural Networks
Zheng Qi, AprilPyone MaungMaung, Hitoshi Kiya
In recent years, with the development of cloud computing platforms, privacy-preserving methods for deep learning have become an urgent problem. NeuraCrypt is a private random neura…
Access Control with Encrypted Feature Maps for Object Detection Models
Teru Nagamori, Hiroki Ito, AprilPyone MaungMaung +1
In this paper, we propose an access control method with a secret key for object detection models for the first time so that unauthorized users without a secret key cannot benefit f…
StyleGAN Encoder-Based Attack for Block Scrambled Face Images
AprilPyone MaungMaung, Hitoshi Kiya
In this paper, we propose an attack method to block scrambled face images, particularly Encryption-then-Compression (EtC) applied images by utilizing the existing powerful StyleGAN…
Privacy-Preserving Image Classification Using ConvMixer with Adaptive Permutation Matrix
Zheng Qi, AprilPyone MaungMaung, Hitoshi Kiya
In this paper, we propose a privacy-preserving image classification method using encrypted images under the use of the ConvMixer structure. Block-wise scrambled images, which are r…
Access Control of Semantic Segmentation Models Using Encrypted Feature Maps
Hiroki Ito, AprilPyone MaungMaung, Sayaka Shiota +1
In this paper, we propose an access control method with a secret key for semantic segmentation models for the first time so that unauthorized users without a secret key cannot bene…
Privacy-Preserving Image Classification Using Vision Transformer
Zheng Qi, AprilPyone MaungMaung, Yuma Kinoshita +1
In this paper, we propose a privacy-preserving image classification method that is based on the combined use of encrypted images and the vision transformer (ViT). The proposed meth…
An Overview of Compressible and Learnable Image Transformation with Secret Key and Its Applications
Hitoshi Kiya, AprilPyone MaungMaung, Yuma Kinoshita +2
This article presents an overview of image transformation with a secret key and its applications. Image transformation with a secret key enables us not only to protect visual infor…
A Protection Method of Trained CNN Model with Secret Key from Unauthorized Access
AprilPyone MaungMaung, Hitoshi Kiya
In this paper, we propose a novel method for protecting convolutional neural network (CNN) models with a secret key set so that unauthorized users without the correct key set canno…