Group-Adaptive Adversarial Learning for Robust Fake News Detection Against Malicious Comments
Fuente:
arXiv
Saved in:
| Main Authors: | Tong, Zhao, Gong, Chunlin, Gu, Yimeng, Shi, Haichao, Liu, Qiang, Wu, Shu, Zhang, Xiao-Yu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CoT is Not the Chain of Truth: An Empirical Internal Analysis of Reasoning LLMs for Fake News Generation
by: Tong, Zhao, et al.
Published: (2026)
by: Tong, Zhao, et al.
Published: (2026)
Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing
by: Liu, Qiang, et al.
Published: (2023)
by: Liu, Qiang, et al.
Published: (2023)
Multi-MLLM Knowledge Distillation for Out-of-Context News Detection
by: Gu, Yimeng, et al.
Published: (2025)
by: Gu, Yimeng, et al.
Published: (2025)
Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks
by: Wu, Jiaying, et al.
Published: (2023)
by: Wu, Jiaying, et al.
Published: (2023)
Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media
by: Zhang, Jiajun, et al.
Published: (2024)
by: Zhang, Jiajun, et al.
Published: (2024)
RADAR: Retrieval-Augmented Detector with Adversarial Refinement for Robust Fake News Detection
by: Ma, Song-Duo, et al.
Published: (2026)
by: Ma, Song-Duo, et al.
Published: (2026)
Learning Domain-Invariant Features for Out-of-Context News Detection
by: Gu, Yimeng, et al.
Published: (2024)
by: Gu, Yimeng, et al.
Published: (2024)
Exploiting User Comments for Early Detection of Fake News Prior to Users' Commenting
by: Nan, Qiong, et al.
Published: (2023)
by: Nan, Qiong, et al.
Published: (2023)
Robust Fake News Detection using Large Language Models under Adversarial Sentiment Attacks
by: Tahmasebi, Sahar, et al.
Published: (2026)
by: Tahmasebi, Sahar, et al.
Published: (2026)
A Symbolic Adversarial Learning Framework for Evolving Fake News Generation and Detection
by: Tian, Chong, et al.
Published: (2025)
by: Tian, Chong, et al.
Published: (2025)
Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection
by: Park, Sungwon, et al.
Published: (2024)
by: Park, Sungwon, et al.
Published: (2024)
LLM-GAN: Construct Generative Adversarial Network Through Large Language Models For Explainable Fake News Detection
by: Wang, Yifeng, et al.
Published: (2024)
by: Wang, Yifeng, et al.
Published: (2024)
A Self-Learning Multimodal Approach for Fake News Detection
by: Chen, Hao, et al.
Published: (2024)
by: Chen, Hao, et al.
Published: (2024)
Propagation Structure-Semantic Transfer Learning for Robust Fake News Detection
by: Chen, Mengyang, et al.
Published: (2026)
by: Chen, Mengyang, et al.
Published: (2026)
COOL: Comprehensive Knowledge Enhanced Prompt Learning for Domain Adaptive Few-shot Fake News Detection
by: Ouyang, Yi, et al.
Published: (2024)
by: Ouyang, Yi, et al.
Published: (2024)
Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models
by: Nan, Qiong, et al.
Published: (2024)
by: Nan, Qiong, et al.
Published: (2024)
Style-News: Incorporating Stylized News Generation and Adversarial Verification for Neural Fake News Detection
by: Wang, Wei-Yao, et al.
Published: (2024)
by: Wang, Wei-Yao, et al.
Published: (2024)
Semantic and Contextual Modeling for Malicious Comment Detection with BERT-BiLSTM
by: Fang, Zhou, et al.
Published: (2025)
by: Fang, Zhou, et al.
Published: (2025)
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection
by: Wang, Zhengjia, et al.
Published: (2025)
by: Wang, Zhengjia, et al.
Published: (2025)
Each Fake News is Fake in its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection
by: Guo, Hao, et al.
Published: (2024)
by: Guo, Hao, et al.
Published: (2024)
Robustness of Large Language Models Against Adversarial Attacks
by: Tao, Yiyi, et al.
Published: (2024)
by: Tao, Yiyi, et al.
Published: (2024)
Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection
by: Yin, Junwei, et al.
Published: (2024)
by: Yin, Junwei, et al.
Published: (2024)
Prompt-Induced Linguistic Fingerprints for LLM-Generated Fake News Detection
by: Wang, Chi, et al.
Published: (2025)
by: Wang, Chi, et al.
Published: (2025)
MSynFD: Multi-hop Syntax aware Fake News Detection
by: Xiao, Liang, et al.
Published: (2024)
by: Xiao, Liang, et al.
Published: (2024)
Heterogeneous Subgraph Transformer for Fake News Detection
by: Zhang, Yuchen, et al.
Published: (2024)
by: Zhang, Yuchen, et al.
Published: (2024)
Fake News Detection: It's All in the Data!
by: Kuntur, Soveatin, et al.
Published: (2024)
by: Kuntur, Soveatin, et al.
Published: (2024)
Retrieval-Augmented Multimodal Model for Fake News Detection
by: Li, Yiheng, et al.
Published: (2026)
by: Li, Yiheng, et al.
Published: (2026)
External Reliable Information-enhanced Multimodal Contrastive Learning for Fake News Detection
by: Cao, Biwei, et al.
Published: (2025)
by: Cao, Biwei, et al.
Published: (2025)
FakeWatch: A Framework for Detecting Fake News to Ensure Credible Elections
by: Raza, Shaina, et al.
Published: (2024)
by: Raza, Shaina, et al.
Published: (2024)
FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models
by: Huang, Yue, et al.
Published: (2023)
by: Huang, Yue, et al.
Published: (2023)
MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts?
by: Wahed, Muntasir, et al.
Published: (2025)
by: Wahed, Muntasir, et al.
Published: (2025)
Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection
by: Hu, Beizhe, et al.
Published: (2023)
by: Hu, Beizhe, et al.
Published: (2023)
Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection
by: Zhang, Chaowei, et al.
Published: (2025)
by: Zhang, Chaowei, et al.
Published: (2025)
LLM-MRD: LLM-Guided Multi-View Reasoning Distillation for Fake News Detection
by: Zhou, Weilin, et al.
Published: (2026)
by: Zhou, Weilin, et al.
Published: (2026)
VeraCT Scan: Retrieval-Augmented Fake News Detection with Justifiable Reasoning
by: Niu, Cheng, et al.
Published: (2024)
by: Niu, Cheng, et al.
Published: (2024)
Head-wise Modality Specialization within MLLMs for Robust Fake News Detection under Missing Modality
by: Qian, Kai, et al.
Published: (2026)
by: Qian, Kai, et al.
Published: (2026)
LingML: Linguistic-Informed Machine Learning for Enhanced Fake News Detection
by: Singh, Jasraj, et al.
Published: (2024)
by: Singh, Jasraj, et al.
Published: (2024)
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media
by: Ni, Shiwen, et al.
Published: (2025)
by: Ni, Shiwen, et al.
Published: (2025)
FactGuard: Event-Centric and Commonsense-Guided Fake News Detection
by: He, Jing, et al.
Published: (2025)
by: He, Jing, et al.
Published: (2025)
Feature-Aware Malicious Output Detection and Mitigation
by: Dong, Weilong, et al.
Published: (2025)
by: Dong, Weilong, et al.
Published: (2025)
Similar Items
-
CoT is Not the Chain of Truth: An Empirical Internal Analysis of Reasoning LLMs for Fake News Generation
by: Tong, Zhao, et al.
Published: (2026) -
Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing
by: Liu, Qiang, et al.
Published: (2023) -
Multi-MLLM Knowledge Distillation for Out-of-Context News Detection
by: Gu, Yimeng, et al.
Published: (2025) -
Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks
by: Wu, Jiaying, et al.
Published: (2023) -
Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media
by: Zhang, Jiajun, et al.
Published: (2024)