InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning
Fuente:
arXiv
Saved in:
| Main Authors: | Sun, Mengyuan, Li, Yu, Liu, Yuchen, Du, Bo, Ge, Yunjie |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Removing the Trigger, Not the Backdoor: Alternative Triggers and Latent Backdoors
by: Abad, Gorka, et al.
Published: (2026)
by: Abad, Gorka, et al.
Published: (2026)
CLIP-Inspector: Model-Level Backdoor Detection for Prompt-Tuned CLIP via OOD Trigger Inversion
by: Jindal, Akshit, et al.
Published: (2026)
by: Jindal, Akshit, et al.
Published: (2026)
Backdoor Mitigation in Object Detection via Adversarial Fine-Tuning
by: Dunnett, Kealan, et al.
Published: (2026)
by: Dunnett, Kealan, et al.
Published: (2026)
Robust Anti-Backdoor Instruction Tuning in LVLMs
by: Xun, Yuan, et al.
Published: (2025)
by: Xun, Yuan, et al.
Published: (2025)
Backdoor Attacks against No-Reference Image Quality Assessment Models via a Scalable Trigger
by: Yu, Yi, et al.
Published: (2024)
by: Yu, Yi, et al.
Published: (2024)
Mitigating Backdoor Attacks using Activation-Guided Model Editing
by: Hsieh, Felix, et al.
Published: (2024)
by: Hsieh, Felix, et al.
Published: (2024)
REFINE: Inversion-Free Backdoor Defense via Model Reprogramming
by: Chen, Yukun, et al.
Published: (2025)
by: Chen, Yukun, et al.
Published: (2025)
Scaling Exposes the Trigger: Input-Level Backdoor Detection in Text-to-Image Diffusion Models via Cross-Attention Scaling
by: Li, Zida, et al.
Published: (2026)
by: Li, Zida, et al.
Published: (2026)
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)
Backdoor Contrastive Learning via Bi-level Trigger Optimization
by: Sun, Weiyu, et al.
Published: (2024)
by: Sun, Weiyu, et al.
Published: (2024)
Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers
by: Huang, Binxiao, et al.
Published: (2024)
by: Huang, Binxiao, et al.
Published: (2024)
Versatile Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers
by: Wang, Ruotong, et al.
Published: (2023)
by: Wang, Ruotong, et al.
Published: (2023)
Backdoor Attack with Sparse and Invisible Trigger
by: Gao, Yinghua, et al.
Published: (2023)
by: Gao, Yinghua, et al.
Published: (2023)
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation
by: Yu, Yi, et al.
Published: (2025)
by: Yu, Yi, et al.
Published: (2025)
Model X-ray:Detecting Backdoored Models via Decision Boundary
by: Su, Yanghao, et al.
Published: (2024)
by: Su, Yanghao, et al.
Published: (2024)
BadBlocks: Low-Cost and Stealthy Backdoor Attacks Tailored for Text-to-Image Diffusion Models
by: Wu, Jia, et al.
Published: (2025)
by: Wu, Jia, et al.
Published: (2025)
Backdoor Cleaning without External Guidance in MLLM Fine-tuning
by: Rong, Xuankun, et al.
Published: (2025)
by: Rong, Xuankun, et al.
Published: (2025)
Differentially Private Fine-Tuning of Diffusion Models
by: Tsai, Yu-Lin, et al.
Published: (2024)
by: Tsai, Yu-Lin, et al.
Published: (2024)
An Inversion-based Measure of Memorization for Diffusion Models
by: Ma, Zhe, et al.
Published: (2024)
by: Ma, Zhe, et al.
Published: (2024)
CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning
by: Zhang, Jinghuai, et al.
Published: (2022)
by: Zhang, Jinghuai, et al.
Published: (2022)
Identifying Physically Realizable Triggers for Backdoored Face Recognition Networks
by: Raj, Ankita, et al.
Published: (2025)
by: Raj, Ankita, et al.
Published: (2025)
Backdoor Attack on Vision Language Models with Stealthy Semantic Manipulation
by: Zhong, Zhiyuan, et al.
Published: (2025)
by: Zhong, Zhiyuan, et al.
Published: (2025)
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers
by: Zhuang, Haomin, et al.
Published: (2023)
by: Zhuang, Haomin, et al.
Published: (2023)
Lazy Layers to Make Fine-Tuned Diffusion Models More Traceable
by: Liu, Haozhe, et al.
Published: (2024)
by: Liu, Haozhe, et al.
Published: (2024)
Backdoor Attacks on Prompt-Driven Video Segmentation Foundation Models
by: Zhang, Zongmin, et al.
Published: (2025)
by: Zhang, Zongmin, et al.
Published: (2025)
Backdoor Directions in Vision Transformers
by: Karayalcin, Sengim, et al.
Published: (2026)
by: Karayalcin, Sengim, et al.
Published: (2026)
Gungnir: Exploiting Stylistic Features in Images for Backdoor Attacks on Diffusion Models
by: Zhang, Lei, et al.
Published: (2025)
by: Zhang, Lei, et al.
Published: (2025)
Revocable Backdoor for Deep Model Trading
by: Xu, Yiran, et al.
Published: (2024)
by: Xu, Yiran, et al.
Published: (2024)
Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning
by: Sami, Hasin Us, et al.
Published: (2025)
by: Sami, Hasin Us, et al.
Published: (2025)
Perturb and Recover: Fine-tuning for Effective Backdoor Removal from CLIP
by: Singh, Naman Deep, et al.
Published: (2024)
by: Singh, Naman Deep, et al.
Published: (2024)
Robust Backdoor Removal by Reconstructing Trigger-Activated Changes in Latent Representation
by: Iwahana, Kazuki, et al.
Published: (2025)
by: Iwahana, Kazuki, et al.
Published: (2025)
BadBone: Backdoor Attacks Against Backbone Models in Visual Prompt Learning
by: Yang, Ziqing, et al.
Published: (2026)
by: Yang, Ziqing, et al.
Published: (2026)
SafeGRPO: Self-Rewarded Multimodal Safety Alignment via Rule-Governed Policy Optimization
by: Rong, Xuankun, et al.
Published: (2025)
by: Rong, Xuankun, et al.
Published: (2025)
Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor
by: Wei, Shaokui, et al.
Published: (2024)
by: Wei, Shaokui, et al.
Published: (2024)
Proactive Adversarial Defense: Harnessing Prompt Tuning in Vision-Language Models to Detect Unseen Backdoored Images
by: Stein, Kyle, et al.
Published: (2024)
by: Stein, Kyle, et al.
Published: (2024)
Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats
by: Liu, Kuanrong, et al.
Published: (2024)
by: Liu, Kuanrong, et al.
Published: (2024)
Clean-image Backdoor Attacks
by: Rong, Dazhong, et al.
Published: (2024)
by: Rong, Dazhong, et al.
Published: (2024)
MIBench: A Comprehensive Framework for Benchmarking Model Inversion Attack and Defense
by: Qiu, Yixiang, et al.
Published: (2024)
by: Qiu, Yixiang, et al.
Published: (2024)
UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening
by: Cheng, Siyuan, et al.
Published: (2024)
by: Cheng, Siyuan, et al.
Published: (2024)
Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger
by: Zhu, Mingyan, et al.
Published: (2023)
by: Zhu, Mingyan, et al.
Published: (2023)
Similar Items
-
Removing the Trigger, Not the Backdoor: Alternative Triggers and Latent Backdoors
by: Abad, Gorka, et al.
Published: (2026) -
CLIP-Inspector: Model-Level Backdoor Detection for Prompt-Tuned CLIP via OOD Trigger Inversion
by: Jindal, Akshit, et al.
Published: (2026) -
Backdoor Mitigation in Object Detection via Adversarial Fine-Tuning
by: Dunnett, Kealan, et al.
Published: (2026) -
Robust Anti-Backdoor Instruction Tuning in LVLMs
by: Xun, Yuan, et al.
Published: (2025) -
Backdoor Attacks against No-Reference Image Quality Assessment Models via a Scalable Trigger
by: Yu, Yi, et al.
Published: (2024)