Cover Image

KnowML: Improving Generalization of ML-NIDS with Attack Knowledge Graphs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guo, Xin Fan, Penuela, Albert Merono, Maffeis, Sergio, Pierazzi, Fabio
Format:	Preprint
Published:	2025
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

Safe machine learning model release from Trusted Research Environments: The SACRO-ML package
by: Smith, Jim, et al.
Published: (2022)

Connect the Dots: Knowledge Graph-Guided Crawler Attack on Retrieval-Augmented Generation Systems
by: Yao, Mengyu, 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)

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

Your RAG is Unfair: Exposing Fairness Vulnerabilities in Retrieval-Augmented Generation via Backdoor Attacks
by: Bagwe, Gaurav, et al.
Published: (2025)

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

Traceback of Poisoning Attacks to Retrieval-Augmented Generation
by: Zhang, Baolei, et al.
Published: (2025)

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

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

HGAttack: Transferable Heterogeneous Graph Adversarial Attack
by: Zhao, He, et al.
Published: (2024)

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

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

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

Adversarial Attacks to Multi-Modal Models
by: Dou, Zhihao, et al.
Published: (2024)

Secure Federated Graph-Filtering for Recommender Systems
by: Nicolas, Julien, et al.
Published: (2025)

Who Taught the Lie? Responsibility Attribution for Poisoned Knowledge in Retrieval-Augmented Generation
by: Zhang, Baolei, et al.
Published: (2025)

Practical 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)

DM4Steal: Diffusion Model For Link Stealing Attack On Graph Neural Networks
by: Chen, Jinyin, et al.
Published: (2024)

Mask-based Membership Inference Attacks for Retrieval-Augmented Generation
by: Liu, Mingrui, et al.
Published: (2024)

BasedAI: A decentralized P2P network for Zero Knowledge Large Language Models (ZK-LLMs)
by: Wellington, Sean
Published: (2024)

Intriguing Properties of Adversarial ML Attacks in the Problem Space [Extended Version]
by: Cortellazzi, Jacopo, et al.
Published: (2019)

Retrieval Pivot Attacks in Hybrid RAG: Measuring and Mitigating Amplified Leakage from Vector Seeds to Graph Expansion
by: Thornton, Scott
Published: (2026)

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

BiRD: A Bidirectional Ranking Defense Mechanism for Retrieval Augmented Generation
by: Gao, Chengcai, et al.
Published: (2026)

Exposing Privacy Risks in Graph Retrieval-Augmented Generation
by: Liu, Jiale, 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 Similarity: Personalized Federated Recommendation with Composite Aggregation
by: Zhang, Honglei, et al.
Published: (2024)

Generalized Rainbow Differential Privacy
by: Gu, Yuzhou, et al.
Published: (2023)

Membership Inference Attacks on Recommender System: A Survey
by: He, Jiajie, et al.
Published: (2025)

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

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

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

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

A No-Defense Defense Against Gradient-Based Adversarial Attacks on ML-NIDS: Is Less More?
by: elShehaby, Mohamed, et al.
Published: (2026)

Know Your Neighborhood: General and Zero-Shot Capable Binary Function Search Powered by Call Graphlets
by: Collyer, Joshua, et al.
Published: (2024)

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)

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