Cross-Context Backdoor Attacks against Graph Prompt Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Lyu, Xiaoting, Han, Yufei, Wang, Wei, Qian, Hangwei, Tsang, Ivor, Zhang, Xiangliang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning
by: Lyu, Xiaoting, et al.
Published: (2024)
by: Lyu, Xiaoting, et al.
Published: (2024)
BadSKP: Backdoor Attacks on Knowledge Graph-Enhanced LLMs with Soft Prompts
by: Lyu, Xiaoting, et al.
Published: (2026)
by: Lyu, Xiaoting, et al.
Published: (2026)
Learning ORDER-Aware Multimodal Representations for Composite Materials Design
by: Li, Xinyao, et al.
Published: (2026)
by: Li, Xinyao, et al.
Published: (2026)
Flow-Factory: A Unified Framework for Reinforcement Learning in Flow-Matching Models
by: Ping, Bowen, et al.
Published: (2026)
by: Ping, Bowen, et al.
Published: (2026)
Uncover and Unlearn Nuisances: Agnostic Fully Test-Time Adaptation
by: Srey, Ponhvoan, et al.
Published: (2025)
by: Srey, Ponhvoan, et al.
Published: (2025)
Defending Jailbreak Prompts via In-Context Adversarial Game
by: Zhou, Yujun, et al.
Published: (2024)
by: Zhou, Yujun, et al.
Published: (2024)
Attack On Prompt: Backdoor Attack in Prompt-Based Continual Learning
by: Nguyen, Trang, et al.
Published: (2024)
by: Nguyen, Trang, et al.
Published: (2024)
Multi-Modal Dataset Distillation in the Wild
by: Dang, Zhuohang, et al.
Published: (2025)
by: Dang, Zhuohang, et al.
Published: (2025)
Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification
by: Akujuobi, Uchenna, et al.
Published: (2019)
by: Akujuobi, Uchenna, et al.
Published: (2019)
IKNO: Infinite-order Kernel Neural Operators
by: Zhu, Pengyuan, et al.
Published: (2026)
by: Zhu, Pengyuan, et al.
Published: (2026)
FAROS: Robust Federated Learning with Adaptive Scaling against Backdoor Attacks
by: Hu, Chenyu, et al.
Published: (2026)
by: Hu, Chenyu, et al.
Published: (2026)
Krait: A Backdoor Attack Against Graph Prompt Tuning
by: Song, Ying, et al.
Published: (2024)
by: Song, Ying, et al.
Published: (2024)
Adversarial Inception Backdoor Attacks against Reinforcement Learning
by: Rathbun, Ethan, et al.
Published: (2024)
by: Rathbun, Ethan, et al.
Published: (2024)
Exploring the Effectiveness and Interpretability of Texts in LLM-based Time Series Models
by: Sun, Zhengke, et al.
Published: (2025)
by: Sun, Zhengke, et al.
Published: (2025)
Advancing Analytic Class-Incremental Learning through Vision-Language Calibration
by: Zhao, Binyu, et al.
Published: (2026)
by: Zhao, Binyu, et al.
Published: (2026)
Cross-Paradigm Graph Backdoor Attacks with Promptable Subgraph Triggers
by: Liu, Dongyi, et al.
Published: (2025)
by: Liu, Dongyi, et al.
Published: (2025)
Invariant Aggregator for Defending against Federated Backdoor Attacks
by: Wang, Xiaoyang, et al.
Published: (2022)
by: Wang, Xiaoyang, et al.
Published: (2022)
Personalized Vision via Visual In-Context Learning
by: Jiang, Yuxin, et al.
Published: (2025)
by: Jiang, Yuxin, et al.
Published: (2025)
TrojanTO: Action-Level Backdoor Attacks against Trajectory Optimization Models
by: Dai, Yang, et al.
Published: (2025)
by: Dai, Yang, et al.
Published: (2025)
Backdoor Attacks on Discrete Graph Diffusion Models
by: Wang, Jiawen, et al.
Published: (2025)
by: Wang, Jiawen, et al.
Published: (2025)
Let's Focus: Focused Backdoor Attack against Federated Transfer Learning
by: Arazzi, Marco, et al.
Published: (2024)
by: Arazzi, Marco, et al.
Published: (2024)
Exploring Hierarchical Molecular Graph Representation in Multimodal LLMs
by: Hu, Chengxin, et al.
Published: (2024)
by: Hu, Chengxin, et al.
Published: (2024)
ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks
by: Ren, Zhiyao, et al.
Published: (2025)
by: Ren, Zhiyao, et al.
Published: (2025)
COMBA: Cross Batch Aggregation for Learning Large Graphs with Context Gating State Space Models
by: Shen, Jiajun, et al.
Published: (2026)
by: Shen, Jiajun, et al.
Published: (2026)
Diversified Batch Selection for Training Acceleration
by: Hong, Feng, et al.
Published: (2024)
by: Hong, Feng, et al.
Published: (2024)
Client-Side Patching against Backdoor Attacks in Federated Learning
by: Molina-Coronado, Borja
Published: (2024)
by: Molina-Coronado, Borja
Published: (2024)
A Semantic and Clean-label Backdoor Attack against Graph Convolutional Networks
by: Dai, Jiazhu, et al.
Published: (2025)
by: Dai, Jiazhu, et al.
Published: (2025)
Defending Deep Regression Models against Backdoor Attacks
by: Du, Lingyu, et al.
Published: (2024)
by: Du, Lingyu, et al.
Published: (2024)
Defending against Backdoor Attack on Deep Neural Networks
by: Cheng, Hao, et al.
Published: (2020)
by: Cheng, Hao, et al.
Published: (2020)
BadPromptFL: A Novel Backdoor Threat to Prompt-based Federated Learning in Multimodal Models
by: Zhang, Maozhen, et al.
Published: (2025)
by: Zhang, Maozhen, et al.
Published: (2025)
Sharpness-Aware Black-Box Optimization
by: Ye, Feiyang, et al.
Published: (2024)
by: Ye, Feiyang, et al.
Published: (2024)
Covariance-Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation
by: Lyu, Yueming, et al.
Published: (2024)
by: Lyu, Yueming, et al.
Published: (2024)
Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective
by: Zhang, Zhiwei, et al.
Published: (2024)
by: Zhang, Zhiwei, et al.
Published: (2024)
Can Distillation Mitigate Backdoor Attacks in Pre-trained Encoders?
by: Han, TIngxu, et al.
Published: (2024)
by: Han, TIngxu, et al.
Published: (2024)
Heterogeneous Graph Backdoor Attack
by: Chen, Jiawei, et al.
Published: (2025)
by: Chen, Jiawei, et al.
Published: (2025)
Bad-PFL: Exploring Backdoor Attacks against Personalized Federated Learning
by: Fan, Mingyuan, et al.
Published: (2025)
by: Fan, Mingyuan, et al.
Published: (2025)
Zero-Shot Relational Learning for Multimodal Knowledge Graphs
by: Cai, Rui, et al.
Published: (2024)
by: Cai, Rui, et al.
Published: (2024)
Flow-Direct: Feedback-Efficient and Reusable Guidance for Flow Models via Non-Parametric Guidance Field
by: Tan, Kim Yong, et al.
Published: (2026)
by: Tan, Kim Yong, et al.
Published: (2026)
Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation
by: Tan, Kim Yong, et al.
Published: (2025)
by: Tan, Kim Yong, et al.
Published: (2025)
Distributional Multi-objective Black-box Optimization for Diffusion-model Inference-time Multi-Target Generation
by: Tan, Kim Yong, et al.
Published: (2025)
by: Tan, Kim Yong, et al.
Published: (2025)
Similar Items
-
Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning
by: Lyu, Xiaoting, et al.
Published: (2024) -
BadSKP: Backdoor Attacks on Knowledge Graph-Enhanced LLMs with Soft Prompts
by: Lyu, Xiaoting, et al.
Published: (2026) -
Learning ORDER-Aware Multimodal Representations for Composite Materials Design
by: Li, Xinyao, et al.
Published: (2026) -
Flow-Factory: A Unified Framework for Reinforcement Learning in Flow-Matching Models
by: Ping, Bowen, et al.
Published: (2026) -
Uncover and Unlearn Nuisances: Agnostic Fully Test-Time Adaptation
by: Srey, Ponhvoan, et al.
Published: (2025)