Imagen de Portada

Unleashing GHOST: An LLM-Powered Framework for Automated Hardware Trojan Design

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Faruque, Md Omar, Jamieson, Peter, Patooghy, Ahmad, Badawy, Abdel-Hameed A.
Formato:	Preprint
Publicado:	2024
Materias:	Cryptography and Security
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

TrojanWhisper: Evaluating Pre-trained LLMs to Detect and Localize Hardware Trojans
por: Faruque, Md Omar, et al.
Publicado: (2024)

Trojan Playground: A Reinforcement Learning Framework for Hardware Trojan Insertion and Detection
por: Sarihi, Amin, et al.
Publicado: (2023)

TrojanForge: Generating Adversarial Hardware Trojan Examples Using Reinforcement Learning
por: Sarihi, Amin, et al.
Publicado: (2024)

The Seeker's Dilemma: Realistic Formulation and Benchmarking for Hardware Trojan Detection
por: Sarihi, Amin, et al.
Publicado: (2024)

Hiding in Plain Sight: Reframing Hardware Trojan Benchmarking as a Hide&Seek Modification
por: Sarihi, Amin, et al.
Publicado: (2024)

Cluster-BPI: Efficient Fine-Grain Blind Power Identification for Defending against Hardware Thermal Trojans in Multicore SoCs
por: Elshamy, Mohamed R., et al.
Publicado: (2024)

iThermTroj: Exploiting Intermittent Thermal Trojans in Multi-Processor System-on-Chips
por: Elahi, Mehdi, et al.
Publicado: (2025)

MATTER: Multi-stage Adaptive Thermal Trojan for Efficiency & Resilience degradation
por: Elahi, Mehdi, et al.
Publicado: (2024)

TrojanLoC: LLM-based Framework for RTL Trojan Localization
por: Xiao, Weihua, et al.
Publicado: (2025)

Hardware Trojans in Quantum Circuits, Their Impacts, and Defense
por: Roy, Rupshali, et al.
Publicado: (2024)

Evasive Hardware Trojan through Adversarial Power Trace
por: Omidi, Behnam, et al.
Publicado: (2024)

Design for Assurance: Employing Functional Verification Tools for Thwarting Hardware Trojan Threat in 3PIPs
por: Hu, Wei, et al.
Publicado: (2023)

Detecting Hardware Trojans in Microprocessors via Hardware Error Correction Code-based Modules
por: Palumbo, Alessandro, et al.
Publicado: (2025)

TrojanGYM: A Detector-in-the-Loop LLM for Adaptive RTL Hardware Trojan Insertion
por: Sreekumar, Saideep, et al.
Publicado: (2026)

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs
por: Thorat, Kiran, et al.
Publicado: (2025)

Reference-Free EM Validation Flow for Detecting Triggered Hardware Trojans
por: Tahghigh, Mahsa, et al.
Publicado: (2026)

Hardware Trojans from Invisible Inversions: On the Trojanizability of Standard Cell Libraries
por: Dorschel, Kolja, et al.
Publicado: (2026)

Propelling Innovation to Defeat Data-Leakage Hardware Trojans: From Theory to Practice
por: Kwiat, Kevin, et al.
Publicado: (2024)

Towards Practical Fabrication Stage Attacks Using Interrupt-Resilient Hardware Trojans
por: Moschos, Athanasios, et al.
Publicado: (2024)

SALTY: Explainable Artificial Intelligence Guided Structural Analysis for Hardware Trojan Detection
por: Mahfuz, Tanzim, et al.
Publicado: (2025)

LATENT: LLM-Augmented Trojan Insertion and Evaluation Framework for Analog Netlist Topologies
por: Chaudhuri, Jayeeta, et al.
Publicado: (2025)

Leveraging Machine Learning for Wi-Fi-based Environmental Continuous Two-Factor Authentication
por: AlQahtani, Ali Abdullah S., et al.
Publicado: (2024)

SCARF: Securing Chips with a Robust Framework against Fabrication-time Hardware Trojans
por: Eslami, Mohammad, et al.
Publicado: (2024)

An AI-Enabled Side Channel Power Analysis Based Hardware Trojan Detection Method for Securing the Integrated Circuits in Cyber-Physical Systems
por: Puspa, Sefatun-Noor, et al.
Publicado: (2024)

Unleashing the Power of LLM to Infer State Machine from the Protocol Implementation
por: Wei, Haiyang, et al.
Publicado: (2024)

LLM-IFT: LLM-Powered Information Flow Tracking for Secure Hardware
por: Mashnoor, Nowfel, et al.
Publicado: (2025)

Automated Hardware Logic Obfuscation Framework Using GPT
por: Latibari, Banafsheh Saber, et al.
Publicado: (2024)

Cross-Scale Persistence Analysis of EM Side-Channels for Reference-Free Detection of Always-On Hardware Trojans
por: Tahghigh, Mahsa, et al.
Publicado: (2026)

Evil from Within: Machine Learning Backdoors through Hardware Trojans
por: Warnecke, Alexander, et al.
Publicado: (2023)

Neural Trojans
por: Liu, Yuntao, et al.
Publicado: (2017)

Self-HWDebug: Automation of LLM Self-Instructing for Hardware Security Verification
por: Akyash, Mohammad, et al.
Publicado: (2024)

TroLL: Exploiting Structural Similarities between Logic Locking and Hardware Trojans
por: Liu, Yuntao, et al.
Publicado: (2023)

An AI Architecture with the Capability to Classify and Explain Hardware Trojans
por: Whitten, Paul, et al.
Publicado: (2024)

HeisenTrojans: They Are Not There Until They Are Triggered
por: Mavurapu, Akshita Reddy, et al.
Publicado: (2023)

Automated Hardware Trojan Insertion in Industrial-Scale Designs
por: Popryho, Yaroslav, et al.
Publicado: (2025)

Reflecthernet: Exfiltrating 100BASE-TX Ethernet Traffic Using a Retroreflector Hardware Trojan
por: Granier, Pierre, et al.
Publicado: (2026)

LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models
por: Fakih, Mohamad, et al.
Publicado: (2025)

Towards Next-Generation Steganalysis: LLMs Unleash the Power of Detecting Steganography
por: Yang, Minhao Bai. Jinshuai, et al.
Publicado: (2024)

Uncertainty-Aware Hardware Trojan Detection Using Multimodal Deep Learning
por: Vishwakarma, Rahul, et al.
Publicado: (2024)

The Trojan Knowledge: Bypassing Commercial LLM Guardrails via Harmless Prompt Weaving and Adaptive Tree Search
por: Wei, Rongzhe, et al.
Publicado: (2025)