Semantic Shield: Defending Vision-Language Models Against Backdooring and Poisoning via Fine-grained Knowledge Alignment
Fuente:
arXiv
Saved in:
| Main Authors: | Ishmam, Alvi Md, Thomas, Christopher |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Privacy-Shielded Image Compression: Defending Against Exploitation from Vision-Language Pretrained Models
by: Shen, Xuelin, et al.
Published: (2025)
by: Shen, Xuelin, et al.
Published: (2025)
LAMP: Learning Universal Adversarial Perturbations for Multi-Image Tasks via Pre-trained Models
by: Ishmam, Alvi Md, et al.
Published: (2026)
by: Ishmam, Alvi Md, et al.
Published: (2026)
T2IShield: Defending Against Backdoors on Text-to-Image Diffusion Models
by: Wang, Zhongqi, et al.
Published: (2024)
by: Wang, Zhongqi, et al.
Published: (2024)
SecureGaze: Defending Gaze Estimation Against Backdoor Attacks
by: Du, Lingyu, et al.
Published: (2025)
by: Du, Lingyu, et al.
Published: (2025)
TrojVLM: Backdoor Attack Against Vision Language Models
by: Lyu, Weimin, et al.
Published: (2024)
by: Lyu, Weimin, et al.
Published: (2024)
Adapting Vision-Language Model with Fine-grained Semantics for Open-Vocabulary Segmentation
by: Chng, Yong Xien, et al.
Published: (2024)
by: Chng, Yong Xien, et al.
Published: (2024)
Defending Text-to-image Diffusion Models: Surprising Efficacy of Textual Perturbations Against Backdoor Attacks
by: Chew, Oscar, et al.
Published: (2024)
by: Chew, Oscar, et al.
Published: (2024)
Backdoor Poisoning Attack Against Face Spoofing Attack Detection Methods
by: Iwamatsu, Shota, et al.
Published: (2025)
by: Iwamatsu, Shota, et al.
Published: (2025)
TrajShield: Trajectory-Level Safety Mediation for Defending Text-to-Video Models Against Jailbreak Attacks
by: Zou, Quanchen, et al.
Published: (2026)
by: Zou, Quanchen, et al.
Published: (2026)
Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning
by: Zhang, Zhifang, et al.
Published: (2024)
by: Zhang, Zhifang, et al.
Published: (2024)
Zero-Shot Fine-Grained Image Classification Using Large Vision-Language Models
by: Atabuzzaman, Md., et al.
Published: (2025)
by: Atabuzzaman, Md., 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)
CleanerCLIP: Fine-grained Counterfactual Semantic Augmentation for Backdoor Defense in Contrastive Learning
by: Xun, Yuan, et al.
Published: (2024)
by: Xun, Yuan, et al.
Published: (2024)
BackdoorVLM: A Benchmark for Backdoor Attacks on Vision-Language Models
by: Li, Juncheng, et al.
Published: (2025)
by: Li, Juncheng, et al.
Published: (2025)
Steering Away from Harm: An Adaptive Approach to Defending Vision Language Model Against Jailbreaks
by: Wang, Han, et al.
Published: (2024)
by: Wang, Han, et al.
Published: (2024)
Defending Against Repetitive Backdoor Attacks on Semi-supervised Learning through Lens of Rate-Distortion-Perception Trade-off
by: Lee, Cheng-Yi, et al.
Published: (2024)
by: Lee, Cheng-Yi, et al.
Published: (2024)
Vocabulary-free Fine-grained Visual Recognition via Enriched Contextually Grounded Vision-Language Model
by: Demidov, Dmitry, et al.
Published: (2025)
by: Demidov, Dmitry, et al.
Published: (2025)
FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models
by: Jing, Liqiang, et al.
Published: (2023)
by: Jing, Liqiang, et al.
Published: (2023)
Unveiling Chain of Step Reasoning for Vision-Language Models with Fine-grained Rewards
by: Chen, Honghao, et al.
Published: (2025)
by: Chen, Honghao, et al.
Published: (2025)
Defending Against Frequency-Based Attacks with Diffusion Models
by: Amerehi, Fatemeh, et al.
Published: (2025)
by: Amerehi, Fatemeh, et al.
Published: (2025)
FG-CLIP 2: A Bilingual Fine-grained Vision-Language Alignment Model
by: Xie, Chunyu, et al.
Published: (2025)
by: Xie, Chunyu, et al.
Published: (2025)
FaceShield: Defending Facial Image against Deepfake Threats
by: Jeong, Jaehwan, et al.
Published: (2024)
by: Jeong, Jaehwan, et al.
Published: (2024)
Robust Defense Strategies for Multimodal Contrastive Learning: Efficient Fine-tuning Against Backdoor Attacks
by: Hossain, Md. Iqbal, et al.
Published: (2025)
by: Hossain, Md. Iqbal, et al.
Published: (2025)
Visual Robustness Benchmark for Visual Question Answering (VQA)
by: Ishmam, Md Farhan, et al.
Published: (2024)
by: Ishmam, Md Farhan, et al.
Published: (2024)
FireEdit: Fine-grained Instruction-based Image Editing via Region-aware Vision Language Model
by: Zhou, Jun, et al.
Published: (2025)
by: Zhou, Jun, et al.
Published: (2025)
Backdooring Vision-Language Models with Out-Of-Distribution Data
by: Lyu, Weimin, et al.
Published: (2024)
by: Lyu, Weimin, et al.
Published: (2024)
Rethinking Cross-Domain Evaluation for Face Forgery Detection with Semantic Fine-grained Alignment and Mixture-of-Experts
by: Luo, Yuhan, et al.
Published: (2026)
by: Luo, Yuhan, et al.
Published: (2026)
FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback
by: Jing, Liqiang, et al.
Published: (2024)
by: Jing, Liqiang, et al.
Published: (2024)
Let's Roll a BiFTA: Bi-refinement for Fine-grained Text-visual Alignment in Vision-Language Models
by: Sun, Yuhao, et al.
Published: (2026)
by: Sun, Yuhao, et al.
Published: (2026)
MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models
by: Hong, Wenyi, et al.
Published: (2025)
by: Hong, Wenyi, et al.
Published: (2025)
JourneyBench: A Challenging One-Stop Vision-Language Understanding Benchmark of Generated Images
by: Wang, Zhecan, et al.
Published: (2024)
by: Wang, Zhecan, et al.
Published: (2024)
Defending Our Privacy With Backdoors
by: Hintersdorf, Dominik, et al.
Published: (2023)
by: Hintersdorf, Dominik, et al.
Published: (2023)
PestVL-Net: Enabling Multimodal Pest Learning via Fine-grained Vision-Language Interaction
by: Li, Xueheng, et al.
Published: (2026)
by: Li, Xueheng, et al.
Published: (2026)
Proxy3D: Efficient 3D Representations for Vision-Language Models via Semantic Clustering and Alignment
by: Jiang, Jerry, et al.
Published: (2026)
by: Jiang, Jerry, et al.
Published: (2026)
Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models
by: Han, Xu, et al.
Published: (2024)
by: Han, Xu, et al.
Published: (2024)
ETVA: Evaluation of Text-to-Video Alignment via Fine-grained Question Generation and Answering
by: Guan, Kaisi, et al.
Published: (2025)
by: Guan, Kaisi, et al.
Published: (2025)
KETA: Kinematic-Phrases-Enhanced Text-to-Motion Generation via Fine-grained Alignment
by: Jiang, Yu, et al.
Published: (2025)
by: Jiang, Yu, et al.
Published: (2025)
Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling
by: Park, Sungjune, et al.
Published: (2025)
by: Park, Sungjune, et al.
Published: (2025)
Fine-grained Image Retrieval via Dual-Vision Adaptation
by: Jiang, Xin, et al.
Published: (2025)
by: Jiang, Xin, et al.
Published: (2025)
Supervised Classification Heads as Semantic Prototypes: Unlocking Vision-Language Alignment via Weight Recycling
by: Méndez, David, et al.
Published: (2026)
by: Méndez, David, et al.
Published: (2026)
Similar Items
-
Privacy-Shielded Image Compression: Defending Against Exploitation from Vision-Language Pretrained Models
by: Shen, Xuelin, et al.
Published: (2025) -
LAMP: Learning Universal Adversarial Perturbations for Multi-Image Tasks via Pre-trained Models
by: Ishmam, Alvi Md, et al.
Published: (2026) -
T2IShield: Defending Against Backdoors on Text-to-Image Diffusion Models
by: Wang, Zhongqi, et al.
Published: (2024) -
SecureGaze: Defending Gaze Estimation Against Backdoor Attacks
by: Du, Lingyu, et al.
Published: (2025) -
TrojVLM: Backdoor Attack Against Vision Language Models
by: Lyu, Weimin, et al.
Published: (2024)