Krait: A Backdoor Attack Against Graph Prompt Tuning
Fuente:
arXiv
Saved in:
| Main Authors: | Song, Ying, Singh, Rita, Palanisamy, Balaji |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Taipan: A Query-free Transfer-based Multiple Sensitive Attribute Inference Attack Solely from Publicly Released Graphs
by: Song, Ying, et al.
Published: (2026)
by: Song, Ying, et al.
Published: (2026)
GraphToxin: Reconstructing Full Unlearned Graphs from Graph Unlearning
by: Song, Ying, et al.
Published: (2025)
by: Song, Ying, et al.
Published: (2025)
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks
by: Gosch, Lukas, et al.
Published: (2024)
by: Gosch, Lukas, et al.
Published: (2024)
Instruction Backdoor Attacks Against Customized LLMs
by: Zhang, Rui, et al.
Published: (2024)
by: Zhang, Rui, et al.
Published: (2024)
BadMerging: Backdoor Attacks Against Model Merging
by: Zhang, Jinghuai, et al.
Published: (2024)
by: Zhang, Jinghuai, et al.
Published: (2024)
PECAN: A Deterministic Certified Defense Against Backdoor Attacks
by: Zhang, Yuhao, et al.
Published: (2023)
by: Zhang, Yuhao, et al.
Published: (2023)
On the Robustness of Graph Reduction Against GNN Backdoor
by: Zhu, Yuxuan, et al.
Published: (2024)
by: Zhu, Yuxuan, et al.
Published: (2024)
Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering
by: Zhu, Rui, et al.
Published: (2023)
by: Zhu, Rui, et al.
Published: (2023)
Backdoor Attacks on Discrete Graph Diffusion Models
by: Wang, Jiawen, et al.
Published: (2025)
by: Wang, Jiawen, et al.
Published: (2025)
Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective
by: Zhang, Zhiwei, et al.
Published: (2024)
by: Zhang, Zhiwei, et al.
Published: (2024)
SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents
by: Rathbun, Ethan, et al.
Published: (2024)
by: Rathbun, Ethan, et al.
Published: (2024)
Watch Out for the Lifespan: Evaluating Backdoor Attacks Against Federated Model Adaptation
by: Vuillod, Bastien, et al.
Published: (2025)
by: Vuillod, Bastien, et al.
Published: (2025)
Leveraging Soft Prompts for Privacy Attacks in Federated Prompt Tuning
by: Nguyen, Quan Minh, et al.
Published: (2026)
by: Nguyen, Quan Minh, et al.
Published: (2026)
Heterogeneous Graph Backdoor Attack
by: Chen, Jiawei, et al.
Published: (2025)
by: Chen, Jiawei, et al.
Published: (2025)
DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks
by: Sui, Hao, et al.
Published: (2024)
by: Sui, Hao, et al.
Published: (2024)
Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks
by: Dong, Xuewen, et al.
Published: (2025)
by: Dong, Xuewen, et al.
Published: (2025)
Cross-Paradigm Graph Backdoor Attacks with Promptable Subgraph Triggers
by: Liu, Dongyi, et al.
Published: (2025)
by: Liu, Dongyi, et al.
Published: (2025)
Composite Backdoor Attacks Against Large Language Models
by: Huang, Hai, et al.
Published: (2023)
by: Huang, Hai, et al.
Published: (2023)
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)
Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification
by: Wang, Xiaobao, et al.
Published: (2025)
by: Wang, Xiaobao, et al.
Published: (2025)
Prompt Stealing Attacks Against Text-to-Image Generation Models
by: Shen, Xinyue, et al.
Published: (2023)
by: Shen, Xinyue, et al.
Published: (2023)
On-Chain Decentralized Learning and Cost-Effective Inference for DeFi Attack Mitigation
by: Alhaidari, Abdulrahman, et al.
Published: (2025)
by: Alhaidari, Abdulrahman, et al.
Published: (2025)
Adaptive Attacks Break Defenses Against Indirect Prompt Injection Attacks on LLM Agents
by: Zhan, Qiusi, et al.
Published: (2025)
by: Zhan, Qiusi, et al.
Published: (2025)
Adversarial Prompt Evaluation: Systematic Benchmarking of Guardrails Against Prompt Input Attacks on LLMs
by: Zizzo, Giulio, et al.
Published: (2025)
by: Zizzo, Giulio, et al.
Published: (2025)
A Multi-Agent LLM Defense Pipeline Against Prompt Injection Attacks
by: Hossain, S M Asif, et al.
Published: (2025)
by: Hossain, S M Asif, et al.
Published: (2025)
Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks
by: Lin, Minhua, et al.
Published: (2024)
by: Lin, Minhua, et al.
Published: (2024)
Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transformers
by: Yang, Sheng, et al.
Published: (2024)
by: Yang, Sheng, et al.
Published: (2024)
Persistent Backdoor Attacks in Continual Learning
by: Guo, Zhen, et al.
Published: (2024)
by: Guo, Zhen, et al.
Published: (2024)
Backdoor Attacks on Decentralised Post-Training
by: Ersoy, Oğuzhan, et al.
Published: (2026)
by: Ersoy, Oğuzhan, et al.
Published: (2026)
Link Stealing Attacks Against Inductive Graph Neural Networks
by: Wu, Yixin, et al.
Published: (2024)
by: Wu, Yixin, et al.
Published: (2024)
The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt Injections
by: Nasr, Milad, et al.
Published: (2025)
by: Nasr, Milad, et al.
Published: (2025)
On the Out-of-Distribution Backdoor Attack for Federated Learning
by: Xu, Jiahao, et al.
Published: (2025)
by: Xu, Jiahao, et al.
Published: (2025)
Backdoor Attacks in Peer-to-Peer Federated Learning
by: Syros, Georgios, et al.
Published: (2023)
by: Syros, Georgios, et al.
Published: (2023)
Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
by: Yan, Jun, et al.
Published: (2023)
by: Yan, Jun, et al.
Published: (2023)
GenTel-Safe: A Unified Benchmark and Shielding Framework for Defending Against Prompt Injection Attacks
by: Li, Rongchang, et al.
Published: (2024)
by: Li, Rongchang, 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)
UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models
by: Han, Yuning, et al.
Published: (2024)
by: Han, Yuning, et al.
Published: (2024)
Backdoor Attacks on Transformers for Tabular Data: An Empirical Study
by: Pleiter, Bart, et al.
Published: (2023)
by: Pleiter, Bart, et al.
Published: (2023)
Defending against Backdoor Attack on Deep Neural Networks
by: Cheng, Hao, et al.
Published: (2020)
by: Cheng, Hao, et al.
Published: (2020)
Invariant Aggregator for Defending against Federated Backdoor Attacks
by: Wang, Xiaoyang, et al.
Published: (2022)
by: Wang, Xiaoyang, et al.
Published: (2022)
Similar Items
-
Taipan: A Query-free Transfer-based Multiple Sensitive Attribute Inference Attack Solely from Publicly Released Graphs
by: Song, Ying, et al.
Published: (2026) -
GraphToxin: Reconstructing Full Unlearned Graphs from Graph Unlearning
by: Song, Ying, et al.
Published: (2025) -
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks
by: Gosch, Lukas, et al.
Published: (2024) -
Instruction Backdoor Attacks Against Customized LLMs
by: Zhang, Rui, et al.
Published: (2024) -
BadMerging: Backdoor Attacks Against Model Merging
by: Zhang, Jinghuai, et al.
Published: (2024)