Hound: Relation-First Knowledge Graphs for Complex-System Reasoning in Security Audits
Fuente:
arXiv
Saved in:
| Main Author: | Mueller, Bernhard |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AutoBaxBuilder: Bootstrapping Code Security Benchmarking
by: von Arx, Tobias, et al.
Published: (2025)
by: von Arx, Tobias, et al.
Published: (2025)
BaxBench: Can LLMs Generate Correct and Secure Backends?
by: Vero, Mark, et al.
Published: (2025)
by: Vero, Mark, et al.
Published: (2025)
A Fast, Reliable, and Secure Programming Language for LLM Agents with Code Actions
by: Mell, Stephen, et al.
Published: (2025)
by: Mell, Stephen, et al.
Published: (2025)
Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach
by: Avice, Régnier, et al.
Published: (2025)
by: Avice, Régnier, et al.
Published: (2025)
Semia: Auditing Agent Skills via Constraint-Guided Representation Synthesis
by: Wen, Hongbo, et al.
Published: (2026)
by: Wen, Hongbo, et al.
Published: (2026)
Checkpoint-GCG: Auditing and Attacking Fine-Tuning-Based Prompt Injection Defenses
by: Yang, Xiaoxue, et al.
Published: (2025)
by: Yang, Xiaoxue, et al.
Published: (2025)
KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on Graph Data
by: Zhou, Andy, et al.
Published: (2024)
by: Zhou, Andy, et al.
Published: (2024)
KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection
by: Li, Yuexin, et al.
Published: (2024)
by: Li, Yuexin, et al.
Published: (2024)
MCP Safety Audit: LLMs with the Model Context Protocol Allow Major Security Exploits
by: Radosevich, Brandon, et al.
Published: (2025)
by: Radosevich, Brandon, et al.
Published: (2025)
Predictive Auditing of Hidden Tokens in LLM APIs via Reasoning Length Estimation
by: Wang, Ziyao, et al.
Published: (2025)
by: Wang, Ziyao, et al.
Published: (2025)
Gandalf the Red: Adaptive Security for LLMs
by: Pfister, Niklas, et al.
Published: (2025)
by: Pfister, Niklas, et al.
Published: (2025)
SecureCode: A Production-Grade Multi-Turn Dataset for Training Security-Aware Code Generation Models
by: Thornton, Scott
Published: (2025)
by: Thornton, Scott
Published: (2025)
SecEncoder: Logs are All You Need in Security
by: Bulut, Muhammed Fatih, et al.
Published: (2024)
by: Bulut, Muhammed Fatih, et al.
Published: (2024)
SecureBreak -- A dataset towards safe and secure models
by: Arazzi, Marco, et al.
Published: (2026)
by: Arazzi, Marco, et al.
Published: (2026)
CASCADE: LLM-Powered JavaScript Deobfuscator at Google
by: Jiang, Shan, et al.
Published: (2025)
by: Jiang, Shan, et al.
Published: (2025)
Verify Before You Fix: Agentic Execution Grounding for Trustworthy Cross-Language Code Analysis
by: Gajjar, Jugal
Published: (2026)
by: Gajjar, Jugal
Published: (2026)
AuditVotes: A Framework Towards More Deployable Certified Robustness for Graph Neural Networks
by: Lai, Yuni, et al.
Published: (2025)
by: Lai, Yuni, et al.
Published: (2025)
Privacy Auditing of Multi-domain Graph Pre-trained Model under Membership Inference Attacks
by: Luo, Jiayi, et al.
Published: (2025)
by: Luo, Jiayi, et al.
Published: (2025)
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)
Securing Multi-turn Conversational Language Models From Distributed Backdoor Triggers
by: Tong, Terry, et al.
Published: (2024)
by: Tong, Terry, et al.
Published: (2024)
Learning Federated Neural Graph Databases for Answering Complex Queries from Distributed Knowledge Graphs
by: Hu, Qi, et al.
Published: (2024)
by: Hu, Qi, et al.
Published: (2024)
OD-Stega: LLM-Based Relatively Secure Steganography via Optimized Distributions
by: Huang, Yu-Shin, et al.
Published: (2024)
by: Huang, Yu-Shin, et al.
Published: (2024)
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion
by: Wang, Guanchu, et al.
Published: (2024)
by: Wang, Guanchu, et al.
Published: (2024)
Adversarial Intent is a Latent Variable: Stateful Trust Inference for Securing Multimodal Agentic RAG
by: Singh, Inderjeet, et al.
Published: (2026)
by: Singh, Inderjeet, et al.
Published: (2026)
SentinelLMs: Encrypted Input Adaptation and Fine-tuning of Language Models for Private and Secure Inference
by: Mishra, Abhijit, et al.
Published: (2023)
by: Mishra, Abhijit, et al.
Published: (2023)
Noise Contrastive Estimation-based Matching Framework for Low-Resource Security Attack Pattern Recognition
by: Nguyen, Tu, et al.
Published: (2024)
by: Nguyen, Tu, et al.
Published: (2024)
Weakest Link in the Chain: Security Vulnerabilities in Advanced Reasoning Models
by: Krishna, Arjun, et al.
Published: (2025)
by: Krishna, Arjun, et al.
Published: (2025)
Amplification Effects in Test-Time Reinforcement Learning: Safety and Reasoning Vulnerabilities
by: Khattar, Vanshaj, et al.
Published: (2026)
by: Khattar, Vanshaj, et al.
Published: (2026)
KDA: A Knowledge-Distilled Attacker for Generating Diverse Prompts to Jailbreak LLMs
by: Liang, Buyun, et al.
Published: (2025)
by: Liang, Buyun, et al.
Published: (2025)
When Thinking LLMs Lie: Unveiling the Strategic Deception in Representations of Reasoning Models
by: Wang, Kai, et al.
Published: (2025)
by: Wang, Kai, et al.
Published: (2025)
A Mousetrap: Fooling Large Reasoning Models for Jailbreak with Chain of Iterative Chaos
by: Yao, Yang, et al.
Published: (2025)
by: Yao, Yang, et al.
Published: (2025)
LLMs can be Dangerous Reasoners: Analyzing-based Jailbreak Attack on Large Language Models
by: Lin, Shi, et al.
Published: (2024)
by: Lin, Shi, et al.
Published: (2024)
Privacy Auditing of Large Language Models
by: Panda, Ashwinee, et al.
Published: (2025)
by: Panda, Ashwinee, et al.
Published: (2025)
Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens
by: Salahuddin, Salahuddin, et al.
Published: (2025)
by: Salahuddin, Salahuddin, et al.
Published: (2025)
Agent-ToM: Learning to Monitor Autonomous LLM Agents via Theory-of-Mind Reasoning
by: Ahmed, Nesreen K., et al.
Published: (2026)
by: Ahmed, Nesreen K., et al.
Published: (2026)
Untargeted Adversarial Attack on Knowledge Graph Embeddings
by: Zhao, Tianzhe, et al.
Published: (2024)
by: Zhao, Tianzhe, et al.
Published: (2024)
Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning
by: Guo, Junfeng, et al.
Published: (2025)
by: Guo, Junfeng, et al.
Published: (2025)
Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models
by: Yuan, Hongbang, et al.
Published: (2024)
by: Yuan, Hongbang, et al.
Published: (2024)
A Deep Dive into Function Inlining and its Security Implications for ML-based Binary Analysis
by: Abusabha, Omar, et al.
Published: (2025)
by: Abusabha, Omar, et al.
Published: (2025)
Tight Auditing of Differential Privacy in MST and AIM
by: Ganev, Georgi, et al.
Published: (2026)
by: Ganev, Georgi, et al.
Published: (2026)
Similar Items
-
AutoBaxBuilder: Bootstrapping Code Security Benchmarking
by: von Arx, Tobias, et al.
Published: (2025) -
BaxBench: Can LLMs Generate Correct and Secure Backends?
by: Vero, Mark, et al.
Published: (2025) -
A Fast, Reliable, and Secure Programming Language for LLM Agents with Code Actions
by: Mell, Stephen, et al.
Published: (2025) -
Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach
by: Avice, Régnier, et al.
Published: (2025) -
Semia: Auditing Agent Skills via Constraint-Guided Representation Synthesis
by: Wen, Hongbo, et al.
Published: (2026)