Leveraging Generalizability of Image-to-Image Translation for Enhanced Adversarial Defense
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhang, Haibo, Yao, Zhihua, Sakurai, Kouichi, Saitoh, Takeshi |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Versatile Defense Against Adversarial Attacks on Image Recognition
por: Zhang, Haibo, et al.
Publicado: (2024)
por: Zhang, Haibo, et al.
Publicado: (2024)
Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks
por: Zhang, Lei, et al.
Publicado: (2024)
por: Zhang, Lei, et al.
Publicado: (2024)
Exploring Adversarial Watermarking in Transformer-Based Models: Transferability and Robustness Against Defense Mechanism for Medical Images
por: Sadik, Rifat, et al.
Publicado: (2025)
por: Sadik, Rifat, et al.
Publicado: (2025)
EHCTNet: Enhanced Hybrid of CNN and Transformer Network for Remote Sensing Image Change Detection
por: Yang, Junjie, et al.
Publicado: (2025)
por: Yang, Junjie, et al.
Publicado: (2025)
Generalizable and Explainable Deep Learning for Medical Image Computing: An Overview
por: Chaddad, Ahmad, et al.
Publicado: (2025)
por: Chaddad, Ahmad, et al.
Publicado: (2025)
Generalizable Geometric Image Caption Synthesis
por: Xin, Yue, et al.
Publicado: (2025)
por: Xin, Yue, et al.
Publicado: (2025)
Improving Transformation-based Defenses against Adversarial Examples with First-order Perturbations
por: Zhang, Haimin, et al.
Publicado: (2021)
por: Zhang, Haimin, et al.
Publicado: (2021)
Physically-Induced Atmospheric Adversarial Perturbations: Enhancing Transferability and Robustness in Remote Sensing Image Classification
por: Zhuang, Weiwei, et al.
Publicado: (2026)
por: Zhuang, Weiwei, et al.
Publicado: (2026)
Adversarial Example Defense via Perturbation Grading Strategy
por: Zhu, Shaowei, et al.
Publicado: (2022)
por: Zhu, Shaowei, et al.
Publicado: (2022)
Continual Adversarial Defense
por: Wang, Qian, et al.
Publicado: (2023)
por: Wang, Qian, et al.
Publicado: (2023)
Model-agnostic Adversarial Attack and Defense for Vision-Language-Action Models
por: Xu, Haochuan, et al.
Publicado: (2025)
por: Xu, Haochuan, et al.
Publicado: (2025)
Improving Deep Generative Models on Many-To-One Image-to-Image Translation
por: Saxena, Sagar, et al.
Publicado: (2024)
por: Saxena, Sagar, et al.
Publicado: (2024)
DRIFT: Divergent Response in Filtered Transformations for Robust Adversarial Defense
por: Guesmi, Amira, et al.
Publicado: (2025)
por: Guesmi, Amira, et al.
Publicado: (2025)
Regularized Distribution Matching Distillation for One-step Unpaired Image-to-Image Translation
por: Rakitin, Denis, et al.
Publicado: (2024)
por: Rakitin, Denis, et al.
Publicado: (2024)
Conditional Consistency Guided Image Translation and Enhancement
por: Bhagat, Amil, et al.
Publicado: (2025)
por: Bhagat, Amil, et al.
Publicado: (2025)
VTON-IT: Virtual Try-On using Image Translation
por: Adhikari, Santosh, et al.
Publicado: (2023)
por: Adhikari, Santosh, et al.
Publicado: (2023)
One-Step Image Translation with Text-to-Image Models
por: Parmar, Gaurav, et al.
Publicado: (2024)
por: Parmar, Gaurav, et al.
Publicado: (2024)
Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data
por: Shen, Aoran, et al.
Publicado: (2024)
por: Shen, Aoran, et al.
Publicado: (2024)
Deep Image-to-Recipe Translation
por: Ma, Jiangqin, et al.
Publicado: (2024)
por: Ma, Jiangqin, et al.
Publicado: (2024)
Leveraging Internal Representations of Model for Magnetic Image Classification
por: L, Adarsh N, et al.
Publicado: (2024)
por: L, Adarsh N, et al.
Publicado: (2024)
Adversarial Machine Learning: Attacking and Safeguarding Image Datasets
por: Chowdhury, Koushik
Publicado: (2025)
por: Chowdhury, Koushik
Publicado: (2025)
Adversarial Robustification via Text-to-Image Diffusion Models
por: Choi, Daewon, et al.
Publicado: (2024)
por: Choi, Daewon, et al.
Publicado: (2024)
Head-Pose-Aware Visual Speech Recognition with FiLM Modulation
por: Teng, Matthew Kit Khinn, et al.
Publicado: (2026)
por: Teng, Matthew Kit Khinn, et al.
Publicado: (2026)
Translation-Enhanced Multilingual Text-to-Image Generation
por: Li, Yaoyiran, et al.
Publicado: (2023)
por: Li, Yaoyiran, et al.
Publicado: (2023)
STEREOFOG -- Computational DeFogging via Image-to-Image Translation on a real-world Dataset
por: Pollak, Anton, et al.
Publicado: (2023)
por: Pollak, Anton, et al.
Publicado: (2023)
Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks
por: Ding, Xin, et al.
Publicado: (2023)
por: Ding, Xin, et al.
Publicado: (2023)
Adversarial Defenses via Vector Quantization
por: Dong, Zhiyi, et al.
Publicado: (2023)
por: Dong, Zhiyi, et al.
Publicado: (2023)
AIM: Additional Image Guided Generation of Transferable Adversarial Attacks
por: Li, Teng, et al.
Publicado: (2025)
por: Li, Teng, et al.
Publicado: (2025)
Adversarial Robustness of AI-Generated Image Detectors in the Real World
por: Mavali, Sina, et al.
Publicado: (2024)
por: Mavali, Sina, et al.
Publicado: (2024)
Almost for Free: Crafting Adversarial Examples with Convolutional Image Filters
por: Warnecke, Alexander, et al.
Publicado: (2026)
por: Warnecke, Alexander, et al.
Publicado: (2026)
UKBOB: One Billion MRI Labeled Masks for Generalizable 3D Medical Image Segmentation
por: Bourigault, Emmanuelle, et al.
Publicado: (2025)
por: Bourigault, Emmanuelle, et al.
Publicado: (2025)
Generalizable Single-Source Cross-modality Medical Image Segmentation via Invariant Causal Mechanisms
por: Chen, Boqi, et al.
Publicado: (2024)
por: Chen, Boqi, et al.
Publicado: (2024)
Criticality Leveraged Adversarial Training (CLAT) for Boosted Performance via Parameter Efficiency
por: Gopal, Bhavna, et al.
Publicado: (2024)
por: Gopal, Bhavna, et al.
Publicado: (2024)
Hawk: Leveraging Spatial Context for Faster Autoregressive Text-to-Image Generation
por: Chen, Zhi-Kai, et al.
Publicado: (2025)
por: Chen, Zhi-Kai, et al.
Publicado: (2025)
Towards Transferable Defense Against Malicious Image Edits
por: Zhang, Jie, et al.
Publicado: (2025)
por: Zhang, Jie, et al.
Publicado: (2025)
Unifying Image Counterfactuals and Feature Attributions with Latent-Space Adversarial Attacks
por: Goldwasser, Jeremy, et al.
Publicado: (2025)
por: Goldwasser, Jeremy, et al.
Publicado: (2025)
Synthetic Melanoma Image Generation and Evaluation Using Generative Adversarial Networks
por: Lin, Pei-Yu, et al.
Publicado: (2026)
por: Lin, Pei-Yu, et al.
Publicado: (2026)
Synthetic Medical Imaging Generation with Generative Adversarial Networks For Plain Radiographs
por: McNulty, John R., et al.
Publicado: (2024)
por: McNulty, John R., et al.
Publicado: (2024)
Adversarial-Robust Transfer Learning for Medical Imaging via Domain Assimilation
por: Chen, Xiaohui, et al.
Publicado: (2024)
por: Chen, Xiaohui, et al.
Publicado: (2024)
Bag of Tricks to Boost Adversarial Transferability
por: Zhang, Zeliang, et al.
Publicado: (2024)
por: Zhang, Zeliang, et al.
Publicado: (2024)
Ejemplares similares
-
Versatile Defense Against Adversarial Attacks on Image Recognition
por: Zhang, Haibo, et al.
Publicado: (2024) -
Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks
por: Zhang, Lei, et al.
Publicado: (2024) -
Exploring Adversarial Watermarking in Transformer-Based Models: Transferability and Robustness Against Defense Mechanism for Medical Images
por: Sadik, Rifat, et al.
Publicado: (2025) -
EHCTNet: Enhanced Hybrid of CNN and Transformer Network for Remote Sensing Image Change Detection
por: Yang, Junjie, et al.
Publicado: (2025) -
Generalizable and Explainable Deep Learning for Medical Image Computing: An Overview
por: Chaddad, Ahmad, et al.
Publicado: (2025)