Mitigating the Structural Bias in Graph Adversarial Defenses
Fuente:
arXiv
Saved in:
| Main Authors: | Fang, Junyuan, Liu, Huimin, Yang, Han, Wu, Jiajing, Zheng, Zibin, Tse, Chi K. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks
by: Fang, Junyuan, et al.
Published: (2025)
by: Fang, Junyuan, et al.
Published: (2025)
BridgeShield: Enhancing Security for Cross-chain Bridge Applications via Heterogeneous Graph Mining
by: Lin, Dan, et al.
Published: (2025)
by: Lin, Dan, et al.
Published: (2025)
IoT-based Android Malware Detection Using Graph Neural Network With Adversarial Defense
by: Yumlembam, Rahul, et al.
Published: (2025)
by: Yumlembam, Rahul, et al.
Published: (2025)
Medusa: Cross-Modal Transferable Adversarial Attacks on Multimodal Medical Retrieval-Augmented Generation
by: Shang, Yingjia, et al.
Published: (2025)
by: Shang, Yingjia, et al.
Published: (2025)
Enhancing Security in Deep Reinforcement Learning: A Comprehensive Survey on Adversarial Attacks and Defenses
by: Yichao, Wu, et al.
Published: (2025)
by: Yichao, Wu, et al.
Published: (2025)
Tackling the Local Bias in Federated Graph Learning
by: Zhang, Binchi, et al.
Published: (2021)
by: Zhang, Binchi, et al.
Published: (2021)
Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense
by: Min, Rui, et al.
Published: (2024)
by: Min, Rui, et al.
Published: (2024)
Adversarial Robustness in Financial Machine Learning: Defenses, Economic Impact, and Governance Evidence
by: Baviskar, Samruddhi
Published: (2025)
by: Baviskar, Samruddhi
Published: (2025)
Disttack: Graph Adversarial Attacks Toward Distributed GNN Training
by: Zhang, Yuxiang, et al.
Published: (2024)
by: Zhang, Yuxiang, et al.
Published: (2024)
Untargeted Adversarial Attack on Knowledge Graph Embeddings
by: Zhao, Tianzhe, et al.
Published: (2024)
by: Zhao, Tianzhe, et al.
Published: (2024)
Frequency maps reveal the correlation between Adversarial Attacks and Implicit Bias
by: Basile, Lorenzo, et al.
Published: (2023)
by: Basile, Lorenzo, et al.
Published: (2023)
Adversarial Reinforcement Learning for Offensive and Defensive Agents in a Simulated Zero-Sum Network Environment
by: Shahid, Abrar, et al.
Published: (2025)
by: Shahid, Abrar, et al.
Published: (2025)
One Step to the Side: Why Defenses Against Malicious Finetuning Fail Under Adaptive Adversaries
by: Zloczower, Itay, et al.
Published: (2026)
by: Zloczower, Itay, et al.
Published: (2026)
A General Black-box Adversarial Attack on Graph-based Fake News Detectors
by: Zhu, Peican, et al.
Published: (2024)
by: Zhu, Peican, et al.
Published: (2024)
Privacy-preserving Universal Adversarial Defense for Black-box Models
by: Li, Qiao, et al.
Published: (2024)
by: Li, Qiao, et al.
Published: (2024)
Federated Unlearning with Gradient Descent and Conflict Mitigation
by: Pan, Zibin, et al.
Published: (2024)
by: Pan, Zibin, et al.
Published: (2024)
DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection
by: Du, Xia, et al.
Published: (2025)
by: Du, Xia, et al.
Published: (2025)
Generalist++: A Meta-learning Framework for Mitigating Trade-off in Adversarial Training
by: Wang, Yisen, et al.
Published: (2025)
by: Wang, Yisen, et al.
Published: (2025)
Trap-MID: Trapdoor-based Defense against Model Inversion Attacks
by: Liu, Zhen-Ting, et al.
Published: (2024)
by: Liu, Zhen-Ting, et al.
Published: (2024)
IRSKG: Unified Intrusion Response System Knowledge Graph Ontology for Cyber Defense
by: Panigrahi, Damodar, et al.
Published: (2024)
by: Panigrahi, Damodar, et al.
Published: (2024)
SoK: Benchmarking Poisoning Attacks and Defenses in Federated Learning
by: Zhang, Heyi, et al.
Published: (2025)
by: Zhang, Heyi, et al.
Published: (2025)
Adversarial Text Purification: A Large Language Model Approach for Defense
by: Moraffah, Raha, et al.
Published: (2024)
by: Moraffah, Raha, et al.
Published: (2024)
GenoArmory: A Unified Evaluation Framework for Adversarial Attacks on Genomic Foundation Models
by: Luo, Haozheng, et al.
Published: (2025)
by: Luo, Haozheng, et al.
Published: (2025)
Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications
by: Zhang, Lu, et al.
Published: (2025)
by: Zhang, Lu, et al.
Published: (2025)
NPAT Null-Space Projected Adversarial Training Towards Zero Deterioration
by: Hu, Hanyi, et al.
Published: (2024)
by: Hu, Hanyi, et al.
Published: (2024)
Mutual Information Guided Backdoor Mitigation for Pre-trained Encoders
by: Han, Tingxu, et al.
Published: (2024)
by: Han, Tingxu, et al.
Published: (2024)
Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator
by: Martinez, Yago Romano, et al.
Published: (2025)
by: Martinez, Yago Romano, et al.
Published: (2025)
VISAT: Benchmarking Adversarial and Distribution Shift Robustness in Traffic Sign Recognition with Visual Attributes
by: Yu, Simon, et al.
Published: (2025)
by: Yu, Simon, et al.
Published: (2025)
A Novel Perturb-ability Score to Mitigate Evasion Adversarial Attacks on Flow-Based ML-NIDS
by: elShehaby, Mohamed, et al.
Published: (2024)
by: elShehaby, Mohamed, et al.
Published: (2024)
TAS-GNN: A Status-Aware Signed Graph Neural Network for Anomaly Detection in Bitcoin Trust Systems
by: Xue, Chang, et al.
Published: (2026)
by: Xue, Chang, et al.
Published: (2026)
Seed Hijacking of LLM Sampling and Quantum Random Number Defense
by: You, Ziyang, et al.
Published: (2026)
by: You, Ziyang, et al.
Published: (2026)
Can Adversarial Code Comments Fool AI Security Reviewers -- Large-Scale Empirical Study of Comment-Based Attacks and Defenses Against LLM Code Analysis
by: Thornton, Scott
Published: (2026)
by: Thornton, Scott
Published: (2026)
A Causal Perspective for Enhancing Jailbreak Attack and Defense
by: Pan, Licheng, et al.
Published: (2026)
by: Pan, Licheng, et al.
Published: (2026)
Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off
by: Li, Yuecheng, et al.
Published: (2024)
by: Li, Yuecheng, et al.
Published: (2024)
Attacks and Defenses Against LLM Fingerprinting
by: Kurian, Kevin, et al.
Published: (2025)
by: Kurian, Kevin, et al.
Published: (2025)
AGSOA:Graph Neural Network Targeted Attack Based on Average Gradient and Structure Optimization
by: Chen, Yang, et al.
Published: (2024)
by: Chen, Yang, et al.
Published: (2024)
SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems
by: Ma, Oubo, et al.
Published: (2024)
by: Ma, Oubo, et al.
Published: (2024)
A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective
by: Yu, Lei, et al.
Published: (2024)
by: Yu, Lei, et al.
Published: (2024)
Optimal Transport-Guided Adversarial Attacks on Graph Neural Network-Based Bot Detection
by: Mukherjee, Kunal, et al.
Published: (2026)
by: Mukherjee, Kunal, et al.
Published: (2026)
Jailbreaking GPT-4V via Self-Adversarial Attacks with System Prompts
by: Wu, Yuanwei, et al.
Published: (2023)
by: Wu, Yuanwei, et al.
Published: (2023)
Similar Items
-
Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks
by: Fang, Junyuan, et al.
Published: (2025) -
BridgeShield: Enhancing Security for Cross-chain Bridge Applications via Heterogeneous Graph Mining
by: Lin, Dan, et al.
Published: (2025) -
IoT-based Android Malware Detection Using Graph Neural Network With Adversarial Defense
by: Yumlembam, Rahul, et al.
Published: (2025) -
Medusa: Cross-Modal Transferable Adversarial Attacks on Multimodal Medical Retrieval-Augmented Generation
by: Shang, Yingjia, et al.
Published: (2025) -
Enhancing Security in Deep Reinforcement Learning: A Comprehensive Survey on Adversarial Attacks and Defenses
by: Yichao, Wu, et al.
Published: (2025)