Unsafe2Safe: Controllable Image Anonymization for Downstream Utility
Fuente:
arXiv
Saved in:
| Main Authors: | Dinh, Mih, Jin, SouYoung |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multi-layer Learnable Attention Mask for Multimodal Tasks
by: Barrios, Wayner, et al.
Published: (2024)
by: Barrios, Wayner, et al.
Published: (2024)
MoDA: Modulation Adapter for Fine-Grained Visual Grounding in Instructional MLLMs
by: Barrios, Wayner, et al.
Published: (2025)
by: Barrios, Wayner, et al.
Published: (2025)
Beyond Final Answers: CRYSTAL Benchmark for Transparent Multimodal Reasoning Evaluation
by: Barrios, Wayner, et al.
Published: (2026)
by: Barrios, Wayner, et al.
Published: (2026)
FT2TF: First-Person Statement Text-To-Talking Face Generation
by: Diao, Xingjian, et al.
Published: (2023)
by: Diao, Xingjian, et al.
Published: (2023)
No Safe Dose: How Training Data Drives Unsafe Image Generation
by: Friedrich, Felix, et al.
Published: (2026)
by: Friedrich, Felix, et al.
Published: (2026)
Disentangling Safe and Unsafe Corruptions via Anisotropy and Locality
by: Muthukumar, Ramchandran, et al.
Published: (2025)
by: Muthukumar, Ramchandran, et al.
Published: (2025)
Utility-Fairness Trade-Offs and How to Find Them
by: Dehdashtian, Sepehr, et al.
Published: (2024)
by: Dehdashtian, Sepehr, et al.
Published: (2024)
Consistency-Preserving Concept Erasure via Unsafe-Safe Pairing and Directional Fisher-weighted Adaptation
by: Kim, Yongwoo, et al.
Published: (2026)
by: Kim, Yongwoo, et al.
Published: (2026)
Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs
by: Mazeika, Mantas, et al.
Published: (2025)
by: Mazeika, Mantas, et al.
Published: (2025)
Uncovering Regional Defaults from Photorealistic Forests in Text-to-Image Generation with DALL-E 2
by: Liu, Zilong, et al.
Published: (2024)
by: Liu, Zilong, et al.
Published: (2024)
Energy Scaling Laws for Diffusion Models: Quantifying Compute in Image Generation
by: Iyengar, Aniketh, et al.
Published: (2025)
by: Iyengar, Aniketh, et al.
Published: (2025)
Neglected Risks: The Disturbing Reality of Children's Images in Datasets and the Urgent Call for Accountability
by: Caetano, Carlos, et al.
Published: (2025)
by: Caetano, Carlos, et al.
Published: (2025)
FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging with FairLoRA
by: Li, Minghan, et al.
Published: (2025)
by: Li, Minghan, et al.
Published: (2025)
KG-FairDiff: Knowledge Graph-Guided Prompt Refinement for Demographically Fair Text-to-Image Generation
by: Davoodi, Farbod, et al.
Published: (2026)
by: Davoodi, Farbod, et al.
Published: (2026)
Developing a Resource-Constraint EdgeAI model for Surface Defect Detection
by: Mih, Atah Nuh, et al.
Published: (2023)
by: Mih, Atah Nuh, et al.
Published: (2023)
Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains
by: Lin, Yumeng, et al.
Published: (2025)
by: Lin, Yumeng, et al.
Published: (2025)
OASIS Uncovers: High-Quality T2I Models, Same Old Stereotypes
by: Dehdashtian, Sepehr, et al.
Published: (2025)
by: Dehdashtian, Sepehr, et al.
Published: (2025)
Monitoring of Urban Changes with multi-modal Sentinel 1 and 2 Data in Mariupol, Ukraine, in 2022/23
by: Zitzlsberger, Georg, et al.
Published: (2023)
by: Zitzlsberger, Georg, et al.
Published: (2023)
Describing Differences in Image Sets with Natural Language
by: Dunlap, Lisa, et al.
Published: (2023)
by: Dunlap, Lisa, et al.
Published: (2023)
MLLM-as-a-Judge for Image Safety without Human Labeling
by: Wang, Zhenting, et al.
Published: (2024)
by: Wang, Zhenting, et al.
Published: (2024)
Generative Anonymization in Event Streams
by: Müller, Adam T., et al.
Published: (2026)
by: Müller, Adam T., et al.
Published: (2026)
D3G: Diverse Demographic Data Generation Increases Zero-Shot Image Classification Accuracy within Multimodal Models
by: Hickmon, Javon
Published: (2025)
by: Hickmon, Javon
Published: (2025)
CubeletWorld: A New Abstraction for Scalable 3D Modeling
by: Samad, Azlaan Mustafa, et al.
Published: (2025)
by: Samad, Azlaan Mustafa, et al.
Published: (2025)
Analyzing Poverty through Intra-Annual Time-Series: A Wavelet Transform Approach
by: Kakooei, Mohammad, et al.
Published: (2024)
by: Kakooei, Mohammad, et al.
Published: (2024)
From Discrete to Continuous: Deep Fair Clustering With Transferable Representations
by: Zhang, Xiang
Published: (2024)
by: Zhang, Xiang
Published: (2024)
FairRAG: Fair Human Generation via Fair Retrieval Augmentation
by: Shrestha, Robik, et al.
Published: (2024)
by: Shrestha, Robik, et al.
Published: (2024)
AnxietyFaceTrack: A Smartphone-Based Non-Intrusive Approach for Detecting Social Anxiety Using Facial Features
by: Sahu, Nilesh Kumar, et al.
Published: (2025)
by: Sahu, Nilesh Kumar, et al.
Published: (2025)
Gridding Forced Displacement using Semi-Supervised Learning
by: Wells, Andrew, et al.
Published: (2025)
by: Wells, Andrew, et al.
Published: (2025)
Impact on Public Health Decision Making by Utilizing Big Data Without Domain Knowledge
by: Zhang, Miao, et al.
Published: (2024)
by: Zhang, Miao, et al.
Published: (2024)
Recognition of Dysarthria in Amyotrophic Lateral Sclerosis patients using Hypernetworks
by: Ilias, Loukas, et al.
Published: (2025)
by: Ilias, Loukas, et al.
Published: (2025)
Analyzing Fairness in Deepfake Detection With Massively Annotated Databases
by: Xu, Ying, et al.
Published: (2022)
by: Xu, Ying, et al.
Published: (2022)
FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis
by: Luo, Yiqin, et al.
Published: (2024)
by: Luo, Yiqin, et al.
Published: (2024)
Toward Digitalization: A Secure Approach to Find a Missing Person Using Facial Recognition Technology
by: Ayon, Abid Faisal, et al.
Published: (2024)
by: Ayon, Abid Faisal, et al.
Published: (2024)
A community palm model
by: Clinton, Nicholas, et al.
Published: (2024)
by: Clinton, Nicholas, et al.
Published: (2024)
Learning Style Identification Using Semi-Supervised Self-Taught Labeling
by: Ayyoub, Hani Y., et al.
Published: (2024)
by: Ayyoub, Hani Y., et al.
Published: (2024)
How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models?
by: Ming, Yifei, et al.
Published: (2023)
by: Ming, Yifei, et al.
Published: (2023)
Improving automatic detection of driver fatigue and distraction using machine learning
by: Wu, Dongjiang
Published: (2024)
by: Wu, Dongjiang
Published: (2024)
InstaGeo: Compute-Efficient Geospatial Machine Learning from Data to Deployment
by: Yusuf, Ibrahim Salihu, et al.
Published: (2025)
by: Yusuf, Ibrahim Salihu, et al.
Published: (2025)
Debiasing Diffusion Model: Enhancing Fairness through Latent Representation Learning in Stable Diffusion Model
by: Huang, Lin-Chun, et al.
Published: (2025)
by: Huang, Lin-Chun, et al.
Published: (2025)
You Never Know: Quantization Induces Inconsistent Biases in Vision-Language Foundation Models
by: Slyman, Eric, et al.
Published: (2024)
by: Slyman, Eric, et al.
Published: (2024)
Similar Items
-
Multi-layer Learnable Attention Mask for Multimodal Tasks
by: Barrios, Wayner, et al.
Published: (2024) -
MoDA: Modulation Adapter for Fine-Grained Visual Grounding in Instructional MLLMs
by: Barrios, Wayner, et al.
Published: (2025) -
Beyond Final Answers: CRYSTAL Benchmark for Transparent Multimodal Reasoning Evaluation
by: Barrios, Wayner, et al.
Published: (2026) -
FT2TF: First-Person Statement Text-To-Talking Face Generation
by: Diao, Xingjian, et al.
Published: (2023) -
No Safe Dose: How Training Data Drives Unsafe Image Generation
by: Friedrich, Felix, et al.
Published: (2026)