BlindU: Blind Machine Unlearning without Revealing Erasing Data
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Weiqi, Tian, Zhiyi, Zhang, Chenhan, Yu, Shui |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Machine Unlearning: A Comprehensive Survey
by: Wang, Weiqi, et al.
Published: (2024)
by: Wang, Weiqi, et al.
Published: (2024)
Blind Spot Navigation: Evolutionary Discovery of Sensitive Semantic Concepts for LVLMs
by: Pan, Zihao, et al.
Published: (2025)
by: Pan, Zihao, et al.
Published: (2025)
SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications
by: Wang, Weiqi, et al.
Published: (2025)
by: Wang, Weiqi, et al.
Published: (2025)
Sparse Autoencoder as a Zero-Shot Classifier for Concept Erasing in Text-to-Image Diffusion Models
by: Tian, Zhihua, et al.
Published: (2025)
by: Tian, Zhihua, et al.
Published: (2025)
CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning
by: Wang, Weiqi, et al.
Published: (2025)
by: Wang, Weiqi, et al.
Published: (2025)
SAGE: Exploring the Boundaries of Unsafe Concept Domain with Semantic-Augment Erasing
by: Zhu, Hongguang, et al.
Published: (2025)
by: Zhu, Hongguang, et al.
Published: (2025)
Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of Backdoor Effects in Trojaned Machine Learning Models
by: Zhu, Rui, et al.
Published: (2022)
by: Zhu, Rui, et al.
Published: (2022)
Rethinking Machine Unlearning in Image Generation Models
by: Liu, Renyang, et al.
Published: (2025)
by: Liu, Renyang, et al.
Published: (2025)
Corrective Machine Unlearning
by: Goel, Shashwat, et al.
Published: (2024)
by: Goel, Shashwat, et al.
Published: (2024)
BlockFUL: Enabling Unlearning in Blockchained Federated Learning
by: Liu, Xiao, et al.
Published: (2024)
by: Liu, Xiao, et al.
Published: (2024)
Erasing Self-Supervised Learning Backdoor by Cluster Activation Masking
by: Qian, Shengsheng, et al.
Published: (2023)
by: Qian, Shengsheng, et al.
Published: (2023)
Backdoor Defense in Diffusion Models via Spatial Attention Unlearning
by: Jha, Abha, et al.
Published: (2025)
by: Jha, Abha, et al.
Published: (2025)
REFORGE: Multi-modal Attacks Reveal Vulnerable Concept Unlearning in Image Generation Models
by: Zou, Yong, et al.
Published: (2026)
by: Zou, Yong, et al.
Published: (2026)
Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery
by: Chang, Ching-Chun, et al.
Published: (2024)
by: Chang, Ching-Chun, et al.
Published: (2024)
Inference Attacks: A Taxonomy, Survey, and Promising Directions
by: Wu, Feng, et al.
Published: (2024)
by: Wu, Feng, et al.
Published: (2024)
TAPE: Tailored Posterior Difference for Auditing of Machine Unlearning
by: Wang, Weiqi, et al.
Published: (2025)
by: Wang, Weiqi, 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)
Who Can See Through You? Adversarial Shielding Against VLM-Based Attribute Inference Attacks
by: Fan, Yucheng, et al.
Published: (2025)
by: Fan, Yucheng, et al.
Published: (2025)
Towards Resilient Safety-driven Unlearning for Diffusion Models against Downstream Fine-tuning
by: Li, Boheng, et al.
Published: (2025)
by: Li, Boheng, et al.
Published: (2025)
SafeRedir: Prompt Embedding Redirection for Robust Unlearning in Image Generation Models
by: Liu, Renyang, et al.
Published: (2026)
by: Liu, Renyang, et al.
Published: (2026)
ICAS: Detecting Training Data from Autoregressive Image Generative Models
by: Yu, Hongyao, et al.
Published: (2025)
by: Yu, Hongyao, et al.
Published: (2025)
DataCook: Crafting Anti-Adversarial Examples for Healthcare Data Copyright Protection
by: Shang, Sihan, et al.
Published: (2024)
by: Shang, Sihan, et al.
Published: (2024)
GUIGuard-Bench: Toward a General Evaluation for Privacy-Preserving GUI Agents
by: Wang, Yanxi, et al.
Published: (2026)
by: Wang, Yanxi, et al.
Published: (2026)
IdentityGuard: Context-Aware Restriction and Provenance for Personalized Synthesis
by: Zhang, Lingyun, et al.
Published: (2026)
by: Zhang, Lingyun, et al.
Published: (2026)
Data Free Backdoor Attacks
by: Cao, Bochuan, et al.
Published: (2024)
by: Cao, Bochuan, 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)
Image Watermarks are Removable Using Controllable Regeneration from Clean Noise
by: Liu, Yepeng, et al.
Published: (2024)
by: Liu, Yepeng, 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)
Image-based Prompt Injection: Hijacking Multimodal LLMs through Visually Embedded Adversarial Instructions
by: Nagaraja, Neha, et al.
Published: (2026)
by: Nagaraja, Neha, et al.
Published: (2026)
Invisible Image Watermarks Are Provably Removable Using Generative AI
by: Zhao, Xuandong, et al.
Published: (2023)
by: Zhao, Xuandong, et al.
Published: (2023)
Bi-Erasing: A Bidirectional Framework for Concept Removal in Diffusion Models
by: Chen, Hao, et al.
Published: (2025)
by: Chen, Hao, et al.
Published: (2025)
T2I-RiskyPrompt: A Benchmark for Safety Evaluation, Attack, and Defense on Text-to-Image Model
by: Zhang, Chenyu, et al.
Published: (2025)
by: Zhang, Chenyu, et al.
Published: (2025)
Beyond the Safety Tax: Mitigating Unsafe Text-to-Image Generation via External Safety Rectification
by: Meng, Xiangtao, et al.
Published: (2025)
by: Meng, Xiangtao, et al.
Published: (2025)
PromptLA: Towards Integrity Verification of Black-box Text-to-Image Diffusion Models
by: Zhang, Zhuomeng, et al.
Published: (2024)
by: Zhang, Zhuomeng, et al.
Published: (2024)
PAD-FT: A Lightweight Defense for Backdoor Attacks via Data Purification and Fine-Tuning
by: Xu, Yukai, et al.
Published: (2024)
by: Xu, Yukai, et al.
Published: (2024)
Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models
by: Jang, Sangwon, et al.
Published: (2025)
by: Jang, Sangwon, et al.
Published: (2025)
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)
UnlearnShield: Shielding Forgotten Privacy against Unlearning Inversion
by: Xue, Lulu, et al.
Published: (2026)
by: Xue, Lulu, et al.
Published: (2026)
CPR: Retrieval Augmented Generation for Copyright Protection
by: Golatkar, Aditya, et al.
Published: (2024)
by: Golatkar, Aditya, et al.
Published: (2024)
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
-
Machine Unlearning: A Comprehensive Survey
by: Wang, Weiqi, et al.
Published: (2024) -
Blind Spot Navigation: Evolutionary Discovery of Sensitive Semantic Concepts for LVLMs
by: Pan, Zihao, et al.
Published: (2025) -
SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications
by: Wang, Weiqi, et al.
Published: (2025) -
Sparse Autoencoder as a Zero-Shot Classifier for Concept Erasing in Text-to-Image Diffusion Models
by: Tian, Zhihua, et al.
Published: (2025) -
CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning
by: Wang, Weiqi, et al.
Published: (2025)