:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Chang, Huang, Hai, Xing, Yujie, Zuo, Xingquan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2502.01272
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Query-Based and Unnoticeable Graph Injection Attack from Neighborhood Perspective
by: Liu, Chang, et al.
Published: (2025)

ADBA:Approximation Decision Boundary Approach for Black-Box Adversarial Attacks
by: Wang, Feiyang, et al.
Published: (2024)

Less is More: on the Over-Globalizing Problem in Graph Transformers
by: Xing, Yujie, et al.
Published: (2024)

Composite Backdoor Attacks Against Large Language Models
by: Huang, Hai, et al.
Published: (2023)

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

Compositional Concept-Based Neuron-Level Interpretability for Deep Reinforcement Learning
by: Jiang, Zeyu, et al.
Published: (2025)

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

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

RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical features
by: Song, Jialei, et al.
Published: (2025)

Detecting Backdoor Attacks via Similarity in Semantic Communication Systems
by: Wei, Ziyang, et al.
Published: (2025)

Backdoor or Manipulation? Graph Mixture of Experts Can Defend Against Various Graph Adversarial Attacks
by: Feng, Yuyuan, et al.
Published: (2025)

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

Instruction Backdoor Attacks Against Customized LLMs
by: Zhang, Rui, et al.
Published: (2024)

Fox in the Henhouse: Supply-Chain Backdoor Attacks Against Reinforcement Learning
by: Liu, Shijie, et al.
Published: (2025)

Multi-Target Backdoor Attacks Against Speaker Recognition
by: Fortier, Alexandrine, et al.
Published: (2025)

InkDrop: Invisible Backdoor Attacks Against Dataset Condensation
by: Yang, He, et al.
Published: (2026)

BadMerging: Backdoor Attacks Against Model Merging
by: Zhang, Jinghuai, et al.
Published: (2024)

Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks
by: He, Bowei, et al.
Published: (2025)

BadGraph: A Backdoor Attack Against Latent Diffusion Model for Text-Guided Graph Generation
by: Ye, Liang, et al.
Published: (2025)

Heterogeneous Graph Backdoor Attack
by: Chen, Jiawei, et al.
Published: (2025)

BAPFL: Exploring Backdoor Attacks Against Prototype-based Federated Learning
by: Zeng, Honghong, et al.
Published: (2025)

A Whole-Process Certifiably Robust Aggregation Method Against Backdoor Attacks in Federated Learning
by: Zhou, Anqi, et al.
Published: (2024)

Variance-Based Defense Against Blended Backdoor Attacks
by: Aseervatham, Sujeevan, et al.
Published: (2025)

Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering
by: Zhu, Rui, et al.
Published: (2023)

PECAN: A Deterministic Certified Defense Against Backdoor Attacks
by: Zhang, Yuhao, et al.
Published: (2023)

Provable Robustness against Backdoor Attacks via the Primal-Dual Perspective on Differential Privacy
by: Saxena, Aman, et al.
Published: (2026)

Oversmoothing Alleviation in Graph Neural Networks: A Survey and Unified View
by: Jin, Yufei, et al.
Published: (2024)

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

Filter, Obstruct and Dilute: Defending Against Backdoor Attacks on Semi-Supervised Learning
by: Wang, Xinrui, et al.
Published: (2025)

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

Cross-Context Backdoor Attacks against Graph Prompt Learning
by: Lyu, Xiaoting, et al.
Published: (2024)

Robustness Inspired Graph Backdoor Defense
by: Zhang, Zhiwei, et al.
Published: (2024)

Watch Out for the Lifespan: Evaluating Backdoor Attacks Against Federated Model Adaptation
by: Vuillod, Bastien, et al.
Published: (2025)

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

Spectral Graph Pruning Against Over-Squashing and Over-Smoothing
by: Jamadandi, Adarsh, et al.
Published: (2024)

Inference Attacks Against Graph Generative Diffusion Models
by: Wang, Xiuling, et al.
Published: (2026)

FAROS: Robust Federated Learning with Adaptive Scaling against Backdoor Attacks
by: Hu, Chenyu, et al.
Published: (2026)

Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective
by: Qin, Zhen, et al.
Published: (2023)

Stochastic Bandits Robust to Adversarial Attacks
by: Wang, Xuchuang, et al.
Published: (2024)

Is Function Similarity Over-Engineered? Building a Benchmark
by: Saul, Rebecca, et al.
Published: (2024)