Unveiling the Resilience of LLM-Enhanced Search Engines against Black-Hat SEO Manipulation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Pei, Hong, Geng, Wu, Xinyi, Wu, Mengying, Zhu, Zixuan, Liu, Mingxuan, Liu, Baojun, Zhang, Mi, Yang, Min
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Revealing the Black Box of Device Search Engine: Scanning Assets, Strategies, and Ethical Consideration
by: Wu, Mengying, et al.
Published: (2024)

DiscourseFlip: An Oblique Discourse-Level Opinion Manipulation Attack against Black-box Retrieval-Augmented Generation
by: Gong, Yuyang, et al.
Published: (2026)

Multi-granular Adversarial Attacks against Black-box Neural Ranking Models
by: Liu, Yu-An, et al.
Published: (2024)

RobustMask: Certified Robustness against Adversarial Neural Ranking Attack via Randomized Masking
by: Liu, Jiawei, et al.
Published: (2025)

Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks
by: Wang, Zongwei, et al.
Published: (2023)

Practical Poisoning Attacks against Retrieval-Augmented Generation
by: Zhang, Baolei, et al.
Published: (2025)

Few-shot Model Extraction Attacks against Sequential Recommender Systems
by: Zhang, Hui, et al.
Published: (2024)

Exposing Citation Vulnerabilities in Generative Engines
by: Mochizuki, Riku, et al.
Published: (2025)

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation
by: Zhang, Baolei, et al.
Published: (2025)

Secure Retrieval-Augmented Generation against Poisoning Attacks
by: Cheng, Zirui, et al.
Published: (2025)

Topic-FlipRAG: Topic-Orientated Adversarial Opinion Manipulation Attacks to Retrieval-Augmented Generation Models
by: Gong, Yuyang, et al.
Published: (2025)

Beyond Jailbreak: Unveiling Risks in LLM Applications Arising from Blurred Capability Boundaries
by: Zhang, Yunyi, et al.
Published: (2025)

KGV: Integrating Large Language Models with Knowledge Graphs for Cyber Threat Intelligence Credibility Assessment
by: Wu, Zongzong, et al.
Published: (2024)

The RAG Paradox: A Black-Box Attack Exploiting Unintentional Vulnerabilities in Retrieval-Augmented Generation Systems
by: Choi, Chanwoo, et al.
Published: (2025)

RemoteRAG: A Privacy-Preserving LLM Cloud RAG Service
by: Cheng, Yihang, et al.
Published: (2024)

MAWSEO: Adversarial Wiki Search Poisoning for Illicit Online Promotion
by: Lin, Zilong, et al.
Published: (2023)

Trans-RAG: Query-Centric Vector Transformation for Secure Cross-Organizational Retrieval
by: Liu, Yu, et al.
Published: (2026)

Green-Red Watermarking for Recommender Systems
by: Zhou, Lei, et al.
Published: (2026)

Unveiling Unicode's Unseen Underpinnings in Undermining Authorship Attribution
by: Dilworth, Robert
Published: (2025)

You Can't Eat Your Cake and Have It Too: The Performance Degradation of LLMs with Jailbreak Defense
by: Mai, Wuyuao, et al.
Published: (2025)

RAGRank: Using PageRank to Counter Poisoning in CTI LLM Pipelines
by: Jia, Austin, et al.
Published: (2025)

Poisoning Attacks and Defenses in Recommender Systems: A Survey
by: Wang, Zongwei, et al.
Published: (2024)

Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures
by: Nguyen, Thanh Toan, et al.
Published: (2024)

MCPZoo: A Large-Scale Dataset of Runnable Model Context Protocol Servers for AI Agent
by: Wu, Mengying, et al.
Published: (2025)

When Bots Take the Bait: Exposing and Mitigating the Emerging Social Engineering Attack in Web Automation Agent
by: Wu, Xinyi, et al.
Published: (2026)

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions
by: Mi, Yunqi, et al.
Published: (2025)

HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models
by: Zhang, Yucheng, et al.
Published: (2024)

Preserving Privacy and Utility in LLM-Based Product Recommendations
by: Khezresmaeilzadeh, Tina, et al.
Published: (2025)

Versatile and Fast Location-Based Private Information Retrieval with Fully Homomorphic Encryption over the Torus
by: Yoo, Joon Soo, et al.
Published: (2025)

BERTDetect: A Neural Topic Modelling Approach for Android Malware Detection
by: Ranaweera, Nishavi, et al.
Published: (2025)

Phishing Email Detection Using Large Language Models
by: Hasan, Najmul, et al.
Published: (2025)

Poisoning Decentralized Collaborative Recommender System and Its Countermeasures
by: Zheng, Ruiqi, et al.
Published: (2024)

Adversarial Hubness in Multi-Modal Retrieval
by: Zhang, Tingwei, et al.
Published: (2024)

ProveRAG: Provenance-Driven Vulnerability Analysis with Automated Retrieval-Augmented LLMs
by: Fayyazi, Reza, et al.
Published: (2024)

First Steps, Lasting Impact: Platform-Aware Forensics for the Next Generation of Analysts
by: Jain, Vinayak, et al.
Published: (2026)

Can It Reach the Generator? Investigating the Survival of Prompt-Injection Attacks in Realistic RAG Settings
by: Yin, Yu, et al.
Published: (2026)

Privacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policies
by: Srinath, Mukund, et al.
Published: (2020)

SoK: Timeline based event reconstruction for digital forensics: Terminology, methodology, and current challenges
by: Breitinger, Frank, et al.
Published: (2025)

Cybersecurity Data Extraction from Common Crawl
by: Mahara, Ashim
Published: (2025)

DV-FSR: A Dual-View Target Attack Framework for Federated Sequential Recommendation
by: Qin, Qitao, et al.
Published: (2024)