Cover Image

TIPS: Threat Actor Informed Prioritization of Applications using SecEncoder

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bulut, Muhammed Fatih, Tamersoy, Acar, Ahmad, Naveed, Liu, Yingqi, Greenwald, Lloyd
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SecEncoder: Logs are All You Need in Security
by: Bulut, Muhammed Fatih, et al.
Published: (2024)

POLAR: Automating Cyber Threat Prioritization through LLM-Powered Assessment
by: Tang, Luoxi, et al.
Published: (2025)

On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models
by: Guru, Kyla, et al.
Published: (2025)

Mobile Application Threats and Security
by: Mirzoev, Timur, et al.
Published: (2025)

SecInfer: Preventing Prompt Injection via Inference-time Scaling
by: Liu, Yupei, et al.
Published: (2025)

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System
by: Wu, Tingmin, et al.
Published: (2024)

SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models
by: Zhang, Jiawen, et al.
Published: (2025)

Hack Me If You Can: Aggregating AutoEncoders for Countering Persistent Access Threats Within Highly Imbalanced Data
by: Benabderrahmane, Sidahmed, et al.
Published: (2024)

Automated Post-Incident Policy Gap Analysis via Threat-Informed Evidence Mapping using Large Language Models
by: Oh, Huan Lin, et al.
Published: (2026)

TIPS: Threat Sharing Information Platform for Enhanced Security
by: Pasumarthy, Lakshmi Rama Kiran, et al.
Published: (2024)

HardSecBench: Benchmarking the Security Awareness of LLMs for Hardware Code Generation
by: Chen, Qirui, et al.
Published: (2026)

SecMate: Multi-Agent Adaptive Cybersecurity Troubleshooting with Tri-Context Personalization
by: Meidan, Yair, et al.
Published: (2026)

SecBench: A Comprehensive Multi-Dimensional Benchmarking Dataset for LLMs in Cybersecurity
by: Jing, Pengfei, et al.
Published: (2024)

ATAG: AI-Agent Application Threat Assessment with Attack Graphs
by: Gandhi, Parth Atulbhai, et al.
Published: (2025)

Secure Tug-of-War (SecTOW): Iterative Defense-Attack Training with Reinforcement Learning for Multimodal Model Security
by: Dai, Muzhi, et al.
Published: (2025)

SecPI: Secure Code Generation with Reasoning Models via Security Reasoning Internalization
by: Wang, Hao, et al.
Published: (2026)

Meta SecAlign: A Secure Foundation LLM Against Prompt Injection Attacks
by: Chen, Sizhe, et al.
Published: (2025)

Anticipating Adversary Behavior in DevSecOps Scenarios through Large Language Models
by: Caballero, Mario Marín, et al.
Published: (2026)

ASTRIDE: A Security Threat Modeling Platform for Agentic-AI Applications
by: Bandara, Eranga, et al.
Published: (2025)

AthenaBench: A Dynamic Benchmark for Evaluating LLMs in Cyber Threat Intelligence
by: Alam, Md Tanvirul, et al.
Published: (2025)

SecRepoBench: Benchmarking Code Agents for Secure Code Completion in Real-World Repositories
by: Shen, Chihao, et al.
Published: (2025)

SecMoE: Communication-Efficient Secure MoE Inference via Select-Then-Compute
by: Shen, Bowen, et al.
Published: (2026)

SecCodeBench-V2 Technical Report
by: Chen, Longfei, et al.
Published: (2026)

A Survey on Vulnerability Prioritization: Taxonomy, Metrics, and Research Challenges
by: Jiang, Yuning, et al.
Published: (2025)

Threat Modelling using Domain-Adapted Language Models: Empirical Evaluation and Insights
by: Pourhanifeh, Saba, et al.
Published: (2026)

Unsupervised Threat Hunting using Continuous Bag-of-Terms-and-Time (CBoTT)
by: Kayhan, Varol, et al.
Published: (2024)

Mobile GUI Agents under Real-world Threats: Are We There Yet?
by: Liu, Guohong, et al.
Published: (2025)

Emerging Threats and Countermeasures in Neuromorphic Systems: A Survey
by: Sorrentino, Pablo, et al.
Published: (2026)

ThreatGPT: An Agentic AI Framework for Enhancing Public Safety through Threat Modeling
by: Zisad, Sharif Noor, et al.
Published: (2025)

Cyber Defense Benchmark: Agentic Threat Hunting Evaluation for LLMs in SecOps
by: Chona, Alankrit, et al.
Published: (2026)

The potential of LLM-generated reports in DevSecOps
by: Lykousas, Nikolaos, et al.
Published: (2024)

Threats, Attacks, and Defenses in Machine Unlearning: A Survey
by: Liu, Ziyao, et al.
Published: (2024)

An explainable Recursive Feature Elimination to detect Advanced Persistent Threats using Random Forest classifier
by: Mutalib, Noor Hazlina Abdul, et al.
Published: (2025)

aiXamine: Simplified LLM Safety and Security
by: Deniz, Fatih, et al.
Published: (2025)

PriMod4AI: Lifecycle-Aware Privacy Threat Modeling for AI Systems using LLM
by: Savaliya, Gautam, et al.
Published: (2026)

Towards Secure Retrieval-Augmented Generation: A Comprehensive Review of Threats, Defenses and Benchmarks
by: Mu, Yanming, et al.
Published: (2026)

CTIArena: Benchmarking LLM Knowledge and Reasoning Across Heterogeneous Cyber Threat Intelligence
by: Cheng, Yutong, et al.
Published: (2025)

Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding
by: Hu, Yuke, et al.
Published: (2023)

Privacy and Security Threat for OpenAI GPTs
by: Wenying, Wei, et al.
Published: (2025)

Cyber Threat Intelligence for Artificial Intelligence Systems
by: Krawczyk, Natalia, et al.
Published: (2026)