DataCook: Crafting Anti-Adversarial Examples for Healthcare Data Copyright Protection
Fuente:
arXiv
Saved in:
| Main Authors: | Shang, Sihan, Yang, Jiancheng, Sun, Zhenglong, Fua, Pascal |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CopyrightMeter: Revisiting Copyright Protection in Text-to-image Models
by: Xu, Naen, et al.
Published: (2024)
by: Xu, Naen, et al.
Published: (2024)
CPR: Retrieval Augmented Generation for Copyright Protection
by: Golatkar, Aditya, et al.
Published: (2024)
by: Golatkar, Aditya, et al.
Published: (2024)
©Plug-in Authorization for Human Content Copyright Protection in Text-to-Image Model
by: Zhou, Chao, et al.
Published: (2024)
by: Zhou, Chao, et al.
Published: (2024)
VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models
by: Li, Xiang, et al.
Published: (2023)
by: Li, Xiang, et al.
Published: (2023)
Towards Dataset Copyright Evasion Attack against Personalized Text-to-Image Diffusion Models
by: Gao, Kuofeng, et al.
Published: (2025)
by: Gao, Kuofeng, et al.
Published: (2025)
T2UE: Generating Unlearnable Examples from Text Descriptions
by: Ma, Xingjun, et al.
Published: (2025)
by: Ma, Xingjun, et al.
Published: (2025)
Crafting Adversarial Inputs for Large Vision-Language Models Using Black-Box Optimization
by: Guan, Jiwei, et al.
Published: (2026)
by: Guan, Jiwei, et al.
Published: (2026)
DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy Protection
by: Liu, Jiang, et al.
Published: (2023)
by: Liu, Jiang, et al.
Published: (2023)
Training Data Protection with Compositional Diffusion Models
by: Golatkar, Aditya, et al.
Published: (2023)
by: Golatkar, Aditya, et al.
Published: (2023)
The Impact of Scaling Training Data on Adversarial Robustness
by: Zimmerli, Marco, et al.
Published: (2025)
by: Zimmerli, Marco, et al.
Published: (2025)
Rethinking and Red-Teaming Protective Perturbation in Personalized Diffusion Models
by: Liu, Yixin, et al.
Published: (2024)
by: Liu, Yixin, et al.
Published: (2024)
Data Free Backdoor Attacks
by: Cao, Bochuan, et al.
Published: (2024)
by: Cao, Bochuan, et al.
Published: (2024)
ICAS: Detecting Training Data from Autoregressive Image Generative Models
by: Yu, Hongyao, et al.
Published: (2025)
by: Yu, Hongyao, et al.
Published: (2025)
Unveiling Hidden Visual Information: A Reconstruction Attack Against Adversarial Visual Information Hiding
by: Jang, Jonggyu, et al.
Published: (2024)
by: Jang, Jonggyu, et al.
Published: (2024)
Adversarial Robustness of Vision in Open Foundation Models
by: Fox, Jonathon, et al.
Published: (2025)
by: Fox, Jonathon, et al.
Published: (2025)
CAPTCHA Solving for Native GUI Agents: Automated Reasoning-Action Data Generation and Self-Corrective Training
by: Chen, Yuxi, et al.
Published: (2026)
by: Chen, Yuxi, et al.
Published: (2026)
Efficient Semi-Supervised Adversarial Training via Latent Clustering-Based Data Reduction
by: Ghosh, Somrita, et al.
Published: (2025)
by: Ghosh, Somrita, et al.
Published: (2025)
The Adversarial AI-Art: Understanding, Generation, Detection, and Benchmarking
by: Li, Yuying, et al.
Published: (2024)
by: Li, Yuying, et al.
Published: (2024)
Edge-Only Universal Adversarial Attacks in Distributed Learning
by: Rossolini, Giulio, et al.
Published: (2024)
by: Rossolini, Giulio, et al.
Published: (2024)
Meta-Learning for Federated Face Recognition in Imbalanced Data Regimes
by: Gansekoele, Arwin, et al.
Published: (2024)
by: Gansekoele, Arwin, et al.
Published: (2024)
ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization
by: Huang, Huayang, et al.
Published: (2024)
by: Huang, Huayang, et al.
Published: (2024)
BlindU: Blind Machine Unlearning without Revealing Erasing Data
by: Wang, Weiqi, et al.
Published: (2026)
by: Wang, Weiqi, et al.
Published: (2026)
CAAP: Capture-Aware Adversarial Patch Attacks on Palmprint Recognition Models
by: Liu, Renyang, et al.
Published: (2026)
by: Liu, Renyang, et al.
Published: (2026)
Fight Perturbations with Perturbations: Defending Adversarial Attacks via Neuron Influence
by: Chen, Ruoxi, et al.
Published: (2021)
by: Chen, Ruoxi, et al.
Published: (2021)
Adversarial Attacks and Defenses on Text-to-Image Diffusion Models: A Survey
by: Zhang, Chenyu, et al.
Published: (2024)
by: Zhang, Chenyu, et al.
Published: (2024)
Robustness Analysis against Adversarial Patch Attacks in Fully Unmanned Stores
by: Na, Hyunsik, et al.
Published: (2025)
by: Na, Hyunsik, et al.
Published: (2025)
Autoencoder-based Denoising Defense against Adversarial Attacks on Object Detection
by: Song, Min Geun, et al.
Published: (2025)
by: Song, Min Geun, et al.
Published: (2025)
Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI
by: Chang, Ching-Chun, et al.
Published: (2025)
by: Chang, Ching-Chun, et al.
Published: (2025)
Multi-View Slot Attention Using Paraphrased Texts for Face Anti-Spoofing
by: Yu, Jeongmin, et al.
Published: (2025)
by: Yu, Jeongmin, et al.
Published: (2025)
Physical Evaluation of Naturalistic Adversarial Patches for Camera-Based Traffic-Sign Detection
by: D'Urso, Brianna, et al.
Published: (2026)
by: D'Urso, Brianna, et al.
Published: (2026)
Transient Adversarial 3D Projection Attacks on Object Detection in Autonomous Driving
by: Zhou, Ce, et al.
Published: (2024)
by: Zhou, Ce, et al.
Published: (2024)
Semantic Router: On the Feasibility of Hijacking MLLMs via a Single Adversarial Perturbation
by: Li, Changyue, et al.
Published: (2025)
by: Li, Changyue, et al.
Published: (2025)
Disentangling Adversarial Prompts: A Semantic-Graph Defense for Robust LLM Security
by: Fang, Xiang, et al.
Published: (2026)
by: Fang, Xiang, et al.
Published: (2026)
AttackVLA: Benchmarking Adversarial and Backdoor Attacks on Vision-Language-Action Models
by: Li, Jiayu, et al.
Published: (2025)
by: Li, Jiayu, et al.
Published: (2025)
Generative Adversarial Networks Applied for Privacy Preservation in Biometric-Based Authentication and Identification
by: Mjachky, Lubos, et al.
Published: (2025)
by: Mjachky, Lubos, et al.
Published: (2025)
On the Adversarial Robustness of Large Vision-Language Models under Visual Token Compression
by: Zhang, Xinwei, et al.
Published: (2026)
by: Zhang, Xinwei, et al.
Published: (2026)
Lossless Copyright Protection via Intrinsic Model Fingerprinting
by: Chen, Lingxiao, et al.
Published: (2026)
by: Chen, Lingxiao, et al.
Published: (2026)
Improving the Perturbation-Based Explanation of Deepfake Detectors Through the Use of Adversarially-Generated Samples
by: Tsigos, Konstantinos, et al.
Published: (2025)
by: Tsigos, Konstantinos, et al.
Published: (2025)
Superpixel Attack: Enhancing Black-box Adversarial Attack with Image-driven Division Areas
by: Oe, Issa, et al.
Published: (2025)
by: Oe, Issa, et al.
Published: (2025)
Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion
by: Xie, Chunlong, et al.
Published: (2025)
by: Xie, Chunlong, et al.
Published: (2025)
Similar Items
-
CopyrightMeter: Revisiting Copyright Protection in Text-to-image Models
by: Xu, Naen, et al.
Published: (2024) -
CPR: Retrieval Augmented Generation for Copyright Protection
by: Golatkar, Aditya, et al.
Published: (2024) -
©Plug-in Authorization for Human Content Copyright Protection in Text-to-Image Model
by: Zhou, Chao, et al.
Published: (2024) -
VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models
by: Li, Xiang, et al.
Published: (2023) -
Towards Dataset Copyright Evasion Attack against Personalized Text-to-Image Diffusion Models
by: Gao, Kuofeng, et al.
Published: (2025)