:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Rettinger, Michael, Beaumont, Ben, Le-Khac, Nhien-An, Nguyen-Le, Hong-Hanh
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security
Online Access:	https://arxiv.org/abs/2603.04456
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Blockchain-based vs. SQL Database Systems for Digital Twin Evidence Management: A Comparative Forensic Analysis
by: Franken, Boyd, et al.
Published: (2025)

Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey
by: Nguyen-Le, Hong-Hanh, et al.
Published: (2024)

D-CAPTCHA++: A Study of Resilience of Deepfake CAPTCHA under Transferable Imperceptible Adversarial Attack
by: Nguyen-Le, Hong-Hanh, et al.
Published: (2024)

Think Twice before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time Adaptation
by: Nguyen-Le, Hong-Hanh, et al.
Published: (2025)

Beyond Binary Classification: A Semi-supervised Approach to Generalized AI-generated Image Detection
by: Nguyen-Le, Hong-Hanh, et al.
Published: (2025)

ChaRVoC: A Challenge-Response Voice Cancelable Authentication System
by: Vo-Hoang, Phuc-Khang, et al.
Published: (2026)

SoK: Systematic analysis of adversarial threats against deep learning approaches for autonomous anomaly detection systems in SDN-IoT networks
by: Yasarathna, Tharindu Lakshan, et al.
Published: (2025)

Demo: ViolentUTF as An Accessible Platform for Generative AI Red Teaming
by: Nguyen, Tam n.
Published: (2025)

Survey and Analysis of IoT Operating Systems: A Comparative Study on the Effectiveness and Acquisition Time of Open Source Digital Forensics Tools
by: Fairbanks, Jeffrey, et al.
Published: (2024)

How Can We Effectively Use LLMs for Phishing Detection?: Evaluating the Effectiveness of Large Language Model-based Phishing Detection Models
by: Ji, Fujiao, et al.
Published: (2025)

Lost in Modality: Evaluating the Effectiveness of Text-Based Membership Inference Attacks on Large Multimodal Models
by: Tong, Ziyi, et al.
Published: (2025)

Cyber Vaccine for Deepfake Immunity
by: Chang, Ching-Chun, et al.
Published: (2023)

AFSS: Artifact-Focused Self-Synthesis for Mitigating Bias in Audio Deepfake Detection
by: Nguyen-Le, Hai-Son, et al.
Published: (2026)

Real is not True: Backdoor Attacks Against Deepfake Detection
by: Sun, Hong, et al.
Published: (2024)

Building an Open Source Operational Technology Pentesting Platform: Lessons from LINICS
by: Rashid, Awais, et al.
Published: (2026)

Commercial Anti-Smishing Tools and Their Comparative Effectiveness Against Modern Threats
by: Timko, Daniel, et al.
Published: (2023)

SNPGuard: Remote Attestation of SEV-SNP VMs Using Open Source Tools
by: Wilke, Luca, et al.
Published: (2024)

Analysis of Publicly Accessible Operational Technology and Associated Risks
by: Rodda, Matthew, et al.
Published: (2025)

Red Team Redemption: A Structured Comparison of Open-Source Tools for Adversary Emulation
by: Landauer, Max, et al.
Published: (2024)

Odoo-based Subcontract Inter-site Access Control Mechanism for Construction Projects
by: Ho, Huy Hung, et al.
Published: (2025)

Pack-A-Mal: A Malware Analysis Framework for Open-Source Packages
by: Vu, Duc-Ly, et al.
Published: (2025)

Manipulating LLM Web Agents with Indirect Prompt Injection Attack via HTML Accessibility Tree
by: Johnson, Sam, et al.
Published: (2025)

Privacy-Aware Framework of Robust Malware Detection in Indoor Robots: Hybrid Quantum Computing and Deep Neural Networks
by: Le, Tan, et al.
Published: (2025)

Open Source, Open Threats? Investigating Security Challenges in Open-Source Software
by: Akhavani, Seyed Ali, et al.
Published: (2025)

The poison of dimensionality
by: Hoang, Lê-Nguyên
Published: (2024)

Rethinking Cybersecurity Ontology Classification and Evaluation: Towards a Credibility-Centered Framework
by: Leblanc, Antoine, et al.
Published: (2025)

Centralized Defense: Logging and Mitigation of Kubernetes Misconfigurations with Open Source Tools
by: Russell, Eoghan, et al.
Published: (2024)

XAI-Based Detection of Adversarial Attacks on Deepfake Detectors
by: Pinhasov, Ben, et al.
Published: (2024)

Detecting Protracted Vulnerabilities in Open Source Projects
by: Sridharkumar, Arjun, et al.
Published: (2026)

CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence
by: Alam, Md Tanvirul, et al.
Published: (2024)

Clawdrain: Exploiting Tool-Calling Chains for Stealthy Token Exhaustion in OpenClaw Agents
by: Dong, Ben, et al.
Published: (2026)

MIoT-Driven Comparison of Open Blockchain Platforms
by: Jabri, Abdou-Essamad, et al.
Published: (2025)

Humanizing Machine-Generated Content: Evading AI-Text Detection through Adversarial Attack
by: Zhou, Ying, et al.
Published: (2024)

SpoofTrackBench: Interpretable AI for Spoof-Aware UAV Tracking and Benchmarking
by: Le, Van, et al.
Published: (2025)

Why Speech Deepfake Detectors Won't Generalize: The Limits of Detection in an Open World
by: Berisha, Visar, et al.
Published: (2025)

Trust, but Verify: Evaluating Developer Behavior in Mitigating Security Vulnerabilities in Open-Source Software Projects
by: de Sousa, Janislley Oliveira, et al.
Published: (2024)

Precision over Noise: Tailoring S3 Public Access Detection to Reduce False Positives in Cloud Security Platforms
by: Dikshant, et al.
Published: (2025)

AgentGuard: An Attribute-Based Access Control Framework for Tool-Use LLM-Based Agent
by: Luo, Jiaqi, et al.
Published: (2026)

A Mixed-Methods Study of Open-Source Software Maintainers On Vulnerability Management and Platform Security Features
by: Ayala, Jessy, et al.
Published: (2024)

Deep Learning-Based Out-of-distribution Source Code Data Identification: How Far Have We Gone?
by: Nguyen, Van, et al.
Published: (2024)