Hidden Ads: Behavior Triggered Semantic Backdoors for Advertisement Injection in Vision Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Yao, Duanyi, Li, Changyue, Huang, Zhicong, Hong, Cheng, Li, Songze |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders
by: Hou, Sizai, et al.
Published: (2024)
by: Hou, Sizai, et al.
Published: (2024)
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit
by: Yao, Duanyi, et al.
Published: (2024)
by: Yao, Duanyi, et al.
Published: (2024)
URVFL: Undetectable Data Reconstruction Attack on Vertical Federated Learning
by: Yao, Duanyi, et al.
Published: (2024)
by: Yao, Duanyi, et al.
Published: (2024)
Awakening the Hydra: Stabilizing Multi-Concept Backdoor Injection in Text-to-Image Diffusion Models
by: Wang, Kai, et al.
Published: (2026)
by: Wang, Kai, et al.
Published: (2026)
Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
by: Yan, Jun, et al.
Published: (2023)
by: Yan, Jun, et al.
Published: (2023)
TooBadRL: Trigger Optimization to Boost Effectiveness of Backdoor Attacks on Deep Reinforcement Learning
by: Zhang, Mingxuan, et al.
Published: (2025)
by: Zhang, Mingxuan, et al.
Published: (2025)
Multi-Trigger Poisoning Amplifies Backdoor Vulnerabilities in LLMs
by: Sivapiromrat, Sanhanat, et al.
Published: (2025)
by: Sivapiromrat, Sanhanat, et al.
Published: (2025)
Future Events as Backdoor Triggers: Investigating Temporal Vulnerabilities in LLMs
by: Price, Sara, et al.
Published: (2024)
by: Price, Sara, et al.
Published: (2024)
Composite Backdoor Attacks Against Large Language Models
by: Huang, Hai, et al.
Published: (2023)
by: Huang, Hai, et al.
Published: (2023)
TrojanDam: Detection-Free Backdoor Defense in Federated Learning through Proactive Model Robustification utilizing OOD Data
by: Dai, Yanbo, et al.
Published: (2025)
by: Dai, Yanbo, et al.
Published: (2025)
SteganoBackdoor: Stealthy and Data-Efficient Backdoor Attacks on Language Models
by: Xue, Eric, et al.
Published: (2025)
by: Xue, Eric, et al.
Published: (2025)
A Channel-Triggered Backdoor Attack on Wireless Semantic Image Reconstruction
by: Wan, Jialin, et al.
Published: (2025)
by: Wan, Jialin, et al.
Published: (2025)
Securing Multi-turn Conversational Language Models From Distributed Backdoor Triggers
by: Tong, Terry, et al.
Published: (2024)
by: Tong, Terry, et al.
Published: (2024)
TUNI: A Textual Unimodal Detector for Identity Inference in CLIP Models
by: Li, Songze, et al.
Published: (2024)
by: Li, Songze, et al.
Published: (2024)
FIT to Forget: Robust Continual Unlearning for Large Language Models
by: Xu, Xiaoyu, et al.
Published: (2026)
by: Xu, Xiaoyu, et al.
Published: (2026)
Empirical Analysis of Large Vision-Language Models against Goal Hijacking via Visual Prompt Injection
by: Kimura, Subaru, et al.
Published: (2024)
by: Kimura, Subaru, et al.
Published: (2024)
Hardware-Triggered Backdoors
by: Möller, Jonas, et al.
Published: (2026)
by: Möller, Jonas, et al.
Published: (2026)
Watch Out for Your Guidance on Generation! Exploring Conditional Backdoor Attacks against Large Language Models
by: He, Jiaming, et al.
Published: (2024)
by: He, Jiaming, et al.
Published: (2024)
Shortcuts Everywhere and Nowhere: Exploring Multi-Trigger Backdoor Attacks
by: Li, Yige, et al.
Published: (2024)
by: Li, Yige, et al.
Published: (2024)
Cross-Paradigm Graph Backdoor Attacks with Promptable Subgraph Triggers
by: Liu, Dongyi, et al.
Published: (2025)
by: Liu, Dongyi, et al.
Published: (2025)
Turn-Based Structural Triggers: Prompt-Free Backdoors in Multi-Turn LLMs
by: Lu, Yiyang, et al.
Published: (2026)
by: Lu, Yiyang, et al.
Published: (2026)
Fingerprinting LLMs via Prompt Injection
by: Hu, Yuepeng, et al.
Published: (2025)
by: Hu, Yuepeng, et al.
Published: (2025)
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE
by: Liu, Qin, et al.
Published: (2023)
by: Liu, Qin, et al.
Published: (2023)
BadFair: Backdoored Fairness Attacks with Group-conditioned Triggers
by: Xue, Jiaqi, et al.
Published: (2024)
by: Xue, Jiaqi, et al.
Published: (2024)
An Early Categorization of Prompt Injection Attacks on Large Language Models
by: Rossi, Sippo, et al.
Published: (2024)
by: Rossi, Sippo, et al.
Published: (2024)
Backdoored Retrievers for Prompt Injection Attacks on Retrieval Augmented Generation of Large Language Models
by: Clop, Cody, et al.
Published: (2024)
by: Clop, Cody, et al.
Published: (2024)
Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models
by: Xu, Jiashu, et al.
Published: (2023)
by: Xu, Jiashu, et al.
Published: (2023)
Securing Large Language Models (LLMs) from Prompt Injection Attacks
by: Suri, Omar Farooq Khan, et al.
Published: (2025)
by: Suri, Omar Farooq Khan, et al.
Published: (2025)
FuncPoison: Poisoning Function Library to Hijack Multi-agent Autonomous Driving Systems
by: Long, Yuzhen, et al.
Published: (2025)
by: Long, Yuzhen, et al.
Published: (2025)
Phantom: General Backdoor Attacks on Retrieval Augmented Language Generation
by: Chaudhari, Harsh, et al.
Published: (2024)
by: Chaudhari, Harsh, et al.
Published: (2024)
Knowledge-Driven Multi-Turn Jailbreaking on Large Language Models
by: Li, Songze, et al.
Published: (2026)
by: Li, Songze, et al.
Published: (2026)
EnchTable: Unified Safety Alignment Transfer in Fine-tuned Large Language Models
by: Wu, Jialin, et al.
Published: (2025)
by: Wu, Jialin, et al.
Published: (2025)
CLIBE: Detecting Dynamic Backdoors in Transformer-based NLP Models
by: Zeng, Rui, et al.
Published: (2024)
by: Zeng, Rui, et al.
Published: (2024)
Backdooring Masked Diffusion Language Models
by: Cao, Daniel Yiming, et al.
Published: (2026)
by: Cao, Daniel Yiming, et al.
Published: (2026)
Backdoors in DRL: Four Environments Focusing on In-distribution Triggers
by: Ashcraft, Chace, et al.
Published: (2025)
by: Ashcraft, Chace, et al.
Published: (2025)
A Study of Backdoors in Instruction Fine-tuned Language Models
by: Raghuram, Jayaram, et al.
Published: (2024)
by: Raghuram, Jayaram, et al.
Published: (2024)
OmniLytics+: A Secure, Efficient, and Affordable Blockchain Data Market for Machine Learning through Off-Chain Processing
by: Li, Songze, et al.
Published: (2024)
by: Li, Songze, et al.
Published: (2024)
Noise as a Probe: Membership Inference Attacks on Diffusion Models Leveraging Initial Noise
by: Lian, Puwei, et al.
Published: (2026)
by: Lian, Puwei, et al.
Published: (2026)
Enhancing Membership Inference Attacks on Diffusion Models from a Frequency-Domain Perspective
by: Lian, Puwei, et al.
Published: (2025)
by: Lian, Puwei, et al.
Published: (2025)
Cross-Modal Backdoors in Multimodal Large Language Models
by: Wang, Runhe, et al.
Published: (2026)
by: Wang, Runhe, et al.
Published: (2026)
Similar Items
-
DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders
by: Hou, Sizai, et al.
Published: (2024) -
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit
by: Yao, Duanyi, et al.
Published: (2024) -
URVFL: Undetectable Data Reconstruction Attack on Vertical Federated Learning
by: Yao, Duanyi, et al.
Published: (2024) -
Awakening the Hydra: Stabilizing Multi-Concept Backdoor Injection in Text-to-Image Diffusion Models
by: Wang, Kai, et al.
Published: (2026) -
Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
by: Yan, Jun, et al.
Published: (2023)