Copertina

Graph-Aware Stealthy Poison-Text Backdoors for Text-Attributed Graphs

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Luo, Qi, Xu, Minghui, Yu, Dongxiao, Cheng, Xiuzhen
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Cryptography and Security
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification
di: Wang, Xiaobao, et al.
Pubblicazione: (2025)

Stealthy and Adjustable Text-Guided Backdoor Attacks on Multimodal Pretrained Models
di: Zhang, Yiyang, et al.
Pubblicazione: (2026)

State Backdoor: Towards Stealthy Real-world Poisoning Attack on Vision-Language-Action Model in State Space
di: Guo, Ji, et al.
Pubblicazione: (2026)

Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks
di: Gosch, Lukas, et al.
Pubblicazione: (2024)

The 'Sure' Trap: Multi-Scale Poisoning Analysis of Stealthy Compliance-Only Backdoors in Fine-Tuned Large Language Models
di: Tan, Yuting, et al.
Pubblicazione: (2025)

ToxicTextCLIP: Text-Based Poisoning and Backdoor Attacks on CLIP Pre-training
di: Yao, Xin, et al.
Pubblicazione: (2025)

Robustness Inspired Graph Backdoor Defense
di: Zhang, Zhiwei, et al.
Pubblicazione: (2024)

Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning
di: Lyu, Xiaoting, et al.
Pubblicazione: (2024)

Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions
di: Cinà, Antonio Emanuele, et al.
Pubblicazione: (2021)

Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models
di: Xu, Yuancheng, et al.
Pubblicazione: (2024)

On the Robustness of Graph Reduction Against GNN Backdoor
di: Zhu, Yuxuan, et al.
Pubblicazione: (2024)

GESR: Graph-Based Edge Semantic Reconstruction for Stealthy Communication Detection with Benign-Only Training
di: Xu, Henghui, et al.
Pubblicazione: (2026)

SteganoBackdoor: Stealthy and Data-Efficient Backdoor Attacks on Language Models
di: Xue, Eric, et al.
Pubblicazione: (2025)

SDBA: A Stealthy and Long-Lasting Durable Backdoor Attack in Federated Learning
di: Choe, Minyeong, et al.
Pubblicazione: (2024)

Stealthy Poisoning Attacks Bypass Defenses in Regression Settings
di: Carnerero-Cano, Javier, et al.
Pubblicazione: (2026)

Under-confidence Backdoors Are Resilient and Stealthy Backdoors
di: Peng, Minlong, et al.
Pubblicazione: (2022)

Backdoor Federated Learning by Poisoning Backdoor-Critical Layers
di: Zhuang, Haomin, et al.
Pubblicazione: (2023)

Backdoor Attacks on Discrete Graph Diffusion Models
di: Wang, Jiawen, et al.
Pubblicazione: (2025)

Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
di: Li, Jiate, et al.
Pubblicazione: (2025)

Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols
di: He, Longzhu, et al.
Pubblicazione: (2025)

Backdoor Graph Condensation
di: Wu, Jiahao, et al.
Pubblicazione: (2024)

Hiding Backdoors within Event Sequence Data via Poisoning Attacks
di: Ermilova, Alina, et al.
Pubblicazione: (2023)

Exact Certification of (Graph) Neural Networks Against Label Poisoning
di: Sabanayagam, Mahalakshmi, et al.
Pubblicazione: (2024)

Debiased Graph Poisoning Attack via Contrastive Surrogate Objective
di: Yoon, Kanghoon, et al.
Pubblicazione: (2024)

Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models
di: Wen, Yuxin, et al.
Pubblicazione: (2024)

SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents
di: Rathbun, Ethan, et al.
Pubblicazione: (2024)

Winter Soldier: Backdooring Language Models at Pre-Training with Indirect Data Poisoning
di: Bouaziz, Wassim, et al.
Pubblicazione: (2025)

SilentStriker:Toward Stealthy Bit-Flip Attacks on Large Language Models
di: Xu, Haotian, et al.
Pubblicazione: (2025)

Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective
di: Zhang, Zhiwei, et al.
Pubblicazione: (2024)

DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks
di: Sui, Hao, et al.
Pubblicazione: (2024)

Krait: A Backdoor Attack Against Graph Prompt Tuning
di: Song, Ying, et al.
Pubblicazione: (2024)

Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks
di: Dong, Xuewen, et al.
Pubblicazione: (2025)

Cross-Paradigm Graph Backdoor Attacks with Promptable Subgraph Triggers
di: Liu, Dongyi, et al.
Pubblicazione: (2025)

Heterogeneous Graph Backdoor Attack
di: Chen, Jiawei, et al.
Pubblicazione: (2025)

Awakening the Hydra: Stabilizing Multi-Concept Backdoor Injection in Text-to-Image Diffusion Models
di: Wang, Kai, et al.
Pubblicazione: (2026)

Universal Graph Backdoor Defense: A Feature-based Homophily Perspective
di: Pan, Mengting, et al.
Pubblicazione: (2026)

EC-Chain: Cost-Effective Storage Solution for Permissionless Blockchains
di: Xu, Minghui, et al.
Pubblicazione: (2024)

Secure Transfer Learning: Training Clean Models Against Backdoor in (Both) Pre-trained Encoders and Downstream Datasets
di: Zhang, Yechao, et al.
Pubblicazione: (2025)

XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants
di: Štorek, Adam, et al.
Pubblicazione: (2025)

ArcGen: Generalizing Neural Backdoor Detection Across Diverse Architectures
di: Yang, Zhonghao, et al.
Pubblicazione: (2025)