Cover Image

Backdoor Attack with Invisible Triggers Based on Model Architecture Modification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ma, Yuan, Wei, Jiankang, Lyu, Yilun, Chen, Kehao, Huang, Jingtong
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Invisible Textual Backdoor Attacks based on Dual-Trigger
by: Hou, Yang, et al.
Published: (2024)

SFIBA: Spatial-based Full-target Invisible Backdoor Attacks
by: Yin, Yangxu, et al.
Published: (2025)

Concept-Guided Backdoor Attack on Vision Language Models
by: Shen, Haoyu, et al.
Published: (2025)

Invisible Backdoor Attack Through Singular Value Decomposition
by: Chen, Wenmin, et al.
Published: (2024)

CL-Attack: Textual Backdoor Attacks via Cross-Lingual Triggers
by: Zheng, Jingyi, et al.
Published: (2024)

Revisiting Training-Inference Trigger Intensity in Backdoor Attacks
by: Lin, Chenhao, et al.
Published: (2025)

When Backdoors Go Beyond Triggers: Semantic Drift in Diffusion Models Under Encoder Attacks
by: Chen, Shenyang, et al.
Published: (2026)

AutoBackdoor: Automating Backdoor Attacks via LLM Agents
by: Li, Yige, et al.
Published: (2025)

Stealthy Dual-Trigger Backdoors: Attacking Prompt Tuning in LM-Empowered Graph Foundation Models
by: Xue, Xiaoyu, et al.
Published: (2025)

ME: Trigger Element Combination Backdoor Attack on Copyright Infringement
by: Yang, Feiyu, et al.
Published: (2025)

Stealthy Backdoor Attacks against LLMs Based on Natural Style Triggers
by: Wei, Jiali, et al.
Published: (2026)

Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models
by: Luo, Jiayi, et al.
Published: (2025)

SynGhost: Invisible and Universal Task-agnostic Backdoor Attack via Syntactic Transfer
by: Cheng, Pengzhou, et al.
Published: (2024)

Invisible to Humans, Triggered by Agents: Stealthy Jailbreak Attacks on Mobile Vision-Language Agents
by: Ding, Renhua, et al.
Published: (2025)

Evolutionary Trigger Detection and Lightweight Model Repair Based Backdoor Defense
by: Zhou, Qi, et al.
Published: (2024)

Semantic-level Backdoor Attack against Text-to-Image Diffusion Models
by: Chen, Tianxin, et al.
Published: (2026)

An Investigation on Group Query Hallucination Attacks
by: Miao, Kehao, et al.
Published: (2025)

Causal-Guided Detoxify Backdoor Attack of Open-Weight LoRA Models
by: Chen, Linzhi, et al.
Published: (2025)

The Trigger in the Haystack: Extracting and Reconstructing LLM Backdoor Triggers
by: Bullwinkel, Blake, et al.
Published: (2026)

The Ripple Effect: On Unforeseen Complications of Backdoor Attacks
by: Zhang, Rui, et al.
Published: (2025)

SkillTrojan: Backdoor Attacks on Skill-Based Agent Systems
by: Feng, Yunhao, et al.
Published: (2026)

Stealthy Backdoor Attack to Real-world Models in Android Apps
by: Wei, Jiali, et al.
Published: (2025)

SNEAKDOOR: Stealthy Backdoor Attacks against Distribution Matching-based Dataset Condensation
by: Yang, He, et al.
Published: (2026)

Chain-of-Scrutiny: Detecting Backdoor Attacks for Large Language Models
by: Li, Xi, et al.
Published: (2024)

The Art of Deception: Robust Backdoor Attack using Dynamic Stacking of Triggers
by: Mengara, Orson
Published: (2024)

Trusted Weights, Treacherous Optimizations? Optimization-Triggered Backdoor Attacks on LLMs
by: Wang, Yifei, et al.
Published: (2026)

When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations
by: Ge, Huaizhi, et al.
Published: (2024)

Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models
by: Jiang, Peihai, et al.
Published: (2025)

An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection
by: Yan, Shenao, et al.
Published: (2024)

CBPF: Filtering Poisoned Data Based on Composite Backdoor Attack
by: Xia, Hanfeng, et al.
Published: (2024)

DeBackdoor: A Deductive Framework for Detecting Backdoor Attacks on Deep Models with Limited Data
by: Popovic, Dorde, et al.
Published: (2025)

Buffer is All You Need: Defending Federated Learning against Backdoor Attacks under Non-iids via Buffering
by: Lyu, Xingyu, et al.
Published: (2025)

Does Few-shot Learning Suffer from Backdoor Attacks?
by: Liu, Xinwei, et al.
Published: (2023)

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations
by: Zhou, Yihe, et al.
Published: (2025)

A Set of Generalized Components to Achieve Effective Poison-only Clean-label Backdoor Attacks with Collaborative Sample Selection and Triggers
by: Wu, Zhixiao, et al.
Published: (2025)

Injecting Bias into Text Classification Models using Backdoor Attacks
by: Yavuz, A. Dilara, et al.
Published: (2024)

Selection-Based Vulnerabilities: Clean-Label Backdoor Attacks in Active Learning
by: Zhi, Yuhan, et al.
Published: (2025)

Flashy Backdoor: Real-world Environment Backdoor Attack on SNNs with DVS Cameras
by: Riaño, Roberto, et al.
Published: (2024)

Backdoor4Good: Benchmarking Beneficial Uses of Backdoors in LLMs
by: Li, Yige, et al.
Published: (2026)

LoBAM: LoRA-Based Backdoor Attack on Model Merging
by: Yin, Ming, et al.
Published: (2024)