Cover Image

Explainability Methods for Hardware Trojan Detection: A Systematic Comparison

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Whitten, Paul, Wolff, Francis, Papachristou, Chris
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

An AI Architecture with the Capability to Explain Recognition Results
by: Whitten, Paul, et al.
Published: (2024)

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

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

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

Explainable fault and severity classification for rolling element bearings using Kolmogorov-Arnold networks
by: Rigas, Spyros, et al.
Published: (2024)

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

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

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

SAND: A Self-supervised and Adaptive NAS-Driven Framework for Hardware Trojan Detection
by: Pan, Zhixin, et al.
Published: (2025)

Inverting Trojans in LLMs
by: Li, Zhengxing, et al.
Published: (2025)

TroLLoc: Logic Locking and Layout Hardening for IC Security Closure against Hardware Trojans
by: Wang, Fangzhou, et al.
Published: (2024)

Unlearning Trojans in Large Language Models: A Comparison Between Natural Language and Source Code
by: Kazemi, Mahdi, et al.
Published: (2024)

Game of Trojans: Adaptive Adversaries Against Output-based Trojaned-Model Detectors
by: Sahabandu, Dinuka, et al.
Published: (2024)

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

Differentially Private Distributed Inference
by: Papachristou, Marios, et al.
Published: (2024)

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

Trojan Cleansing with Neural Collapse
by: Gu, Xihe, et al.
Published: (2024)

Fast and Accurate Identification of Hardware Trojan Locations in Gate-Level Netlist using Nearest Neighbour Approach integrated with Machine Learning Technique
by: Chattopadhyay, Anindita, et al.
Published: (2025)

Training Deep Physics-Informed Kolmogorov-Arnold Networks
by: Rigas, Spyros, et al.
Published: (2025)

RFX-Fuse: Breiman and Cutler's Unified ML Engine + Native Explainable Similarity
by: Kuchar, Chris
Published: (2026)

Interpretable and Explainable Machine Learning Methods for Predictive Process Monitoring: A Systematic Literature Review
by: Mehdiyev, Nijat, et al.
Published: (2023)

Differentially Private Distributed Estimation and Learning
by: Papachristou, Marios, et al.
Published: (2023)

Scanning Trojaned Models Using Out-of-Distribution Samples
by: Mirzaei, Hossein, et al.
Published: (2025)

An Enhanced Focal Loss Function to Mitigate Class Imbalance in Auto Insurance Fraud Detection with Explainable AI
by: Boabang, Francis, et al.
Published: (2025)

GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks
by: Amara, Kenza, et al.
Published: (2022)

TrojFSP: Trojan Insertion in Few-shot Prompt Tuning
by: Zheng, Mengxin, et al.
Published: (2023)

SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning
by: Zheng, Mengxin, et al.
Published: (2023)

Unveiling 3D Ocean Biogeochemical Provinces in the North Atlantic: A Systematic Comparison and Validation of Clustering Methods
by: Jenniges, Yvonne, et al.
Published: (2025)

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection
by: Nakagama, Yutaro, et al.
Published: (2025)

Financial Fraud Detection Using Explainable AI and Stacking Ensemble Methods
by: Almalki, Fahad, et al.
Published: (2025)

TrojanTO: Action-Level Backdoor Attacks against Trajectory Optimization Models
by: Dai, Yang, et al.
Published: (2025)

Adaptive Training of Grid-Dependent Physics-Informed Kolmogorov-Arnold Networks
by: Rigas, Spyros, et al.
Published: (2024)

Opening the Black-Box: A Systematic Review on Explainable AI in Remote Sensing
by: Höhl, Adrian, et al.
Published: (2024)

Outlier Detection in Plantar Pressure: Human-Centered Comparison of Statistical Parametric Mapping and Explainable Machine Learning
by: Dindorf, Carlo, et al.
Published: (2025)

TrojanPuzzle: Covertly Poisoning Code-Suggestion Models
by: Aghakhani, Hojjat, et al.
Published: (2023)

SPICED: Syntactical Bug and Trojan Pattern Identification in A/MS Circuits using LLM-Enhanced Detection
by: Chaudhuri, Jayeeta, et al.
Published: (2024)

Solving Trojan Detection Competitions with Linear Weight Classification
by: Huster, Todd, et al.
Published: (2024)

On the Effectiveness of the z-Transform Method in Quadratic Optimization
by: Bach, Francis
Published: (2025)

The Susceptibility of Example-Based Explainability Methods to Class Outliers
by: Nematov, Ikhtiyor, et al.
Published: (2024)