Saved in:
| Main Authors: | Nguyen, Minh-Luân, Levillain, Olivier, Malka, Julien, Zacchiroli, Stefano, Zimmermann, Théo |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2606.00625 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Did You Forkget It? Detecting One-Day Vulnerabilities in Open-source ForksWith Global History Analysis
by: Lefeuvre, Romain, et al.
Published: (2025)
by: Lefeuvre, Romain, et al.
Published: (2025)
Finding Software Supply Chain Attack Paths with Logical Attack Graphs
by: Soeiro, Luıs, et al.
Published: (2025)
by: Soeiro, Luıs, et al.
Published: (2025)
Docker Does Not Guarantee Reproducibility
by: Malka, Julien, et al.
Published: (2026)
by: Malka, Julien, et al.
Published: (2026)
Does Functional Package Management Enable Reproducible Builds at Scale? Yes
by: Malka, Julien, et al.
Published: (2025)
by: Malka, Julien, et al.
Published: (2025)
Reproducibility of Build Environments through Space and Time
by: Malka, Julien, et al.
Published: (2024)
by: Malka, Julien, et al.
Published: (2024)
Striking Back At Cobalt: Using Network Traffic Metadata To Detect Cobalt Strike Masquerading Command and Control Channels
by: Parssegny, Clément, et al.
Published: (2025)
by: Parssegny, Clément, et al.
Published: (2025)
Securing Stack Smashing Protection in WebAssembly Applications
by: Michaud, Quentin, et al.
Published: (2024)
by: Michaud, Quentin, et al.
Published: (2024)
Abstraction of Trusted Execution Environments as the Missing Layer for Broad Confidential Computing Adoption: A Systematization of Knowledge
by: Michaud, Quentin, et al.
Published: (2025)
by: Michaud, Quentin, et al.
Published: (2025)
ROSA: Finding Backdoors with Fuzzing
by: Kokkonis, Dimitri, et al.
Published: (2025)
by: Kokkonis, Dimitri, et al.
Published: (2025)
PoC-Adapt: Semantic-Aware Automated Vulnerability Reproduction with LLM Multi-Agents and Reinforcement Learning-Driven Adaptive Policy
by: Duy, Phan The, et al.
Published: (2026)
by: Duy, Phan The, et al.
Published: (2026)
ContractShield: Bridging Semantic-Structural Gaps via Hierarchical Cross-Modal Fusion for Multi-Label Vulnerability Detection in Obfuscated Smart Contracts
by: Tran-Duong, Minh-Dai, et al.
Published: (2026)
by: Tran-Duong, Minh-Dai, et al.
Published: (2026)
Bridging Cybersecurity Practice and Law: a Hands-on, Scenario-Based Curriculum Using the NICE Framework to Foster Skill Development
by: McGuan, Colman, et al.
Published: (2025)
by: McGuan, Colman, et al.
Published: (2025)
A Geometric Framework for Adversarial Vulnerability in Machine Learning
by: Bell, Brian
Published: (2024)
by: Bell, Brian
Published: (2024)
ORACAL: A Robust and Explainable Multimodal Framework for Smart Contract Vulnerability Detection with Causal Graph Enrichment
by: Dai, Tran Duong Minh, et al.
Published: (2026)
by: Dai, Tran Duong Minh, et al.
Published: (2026)
Pack-A-Mal: A Malware Analysis Framework for Open-Source Packages
by: Vu, Duc-Ly, et al.
Published: (2025)
by: Vu, Duc-Ly, et al.
Published: (2025)
LLM Agents for Automated Web Vulnerability Reproduction: Are We There Yet?
by: Liu, Bin, et al.
Published: (2025)
by: Liu, Bin, et al.
Published: (2025)
SkyEye: When Your Vision Reaches Beyond IAM Boundary Scope in AWS Cloud
by: Nguyen, Minh Hoang, et al.
Published: (2025)
by: Nguyen, Minh Hoang, et al.
Published: (2025)
Denial-of-Service Vulnerability of Hash-based Transaction Sharding: Attack and Countermeasure
by: Nguyen, Truc, et al.
Published: (2020)
by: Nguyen, Truc, et al.
Published: (2020)
Vulnerability Assessment Combining CVSS Temporal Metrics and Bayesian Networks
by: Perone, Stefano, et al.
Published: (2025)
by: Perone, Stefano, et al.
Published: (2025)
Automated Code-centric Software Vulnerability Assessment: How Far Are We? An Empirical Study in C/C++
by: Nguyen, Anh The, et al.
Published: (2024)
by: Nguyen, Anh The, et al.
Published: (2024)
DMLDroid: Deep Multimodal Fusion Framework for Android Malware Detection with Resilience to Code Obfuscation and Adversarial Perturbations
by: Trung, Doan Minh, et al.
Published: (2025)
by: Trung, Doan Minh, et al.
Published: (2025)
FuzzingBrain V2: A Multi-Agent LLM System for Automated Vulnerability Discovery and Reproduction
by: Sheng, Ze, et al.
Published: (2026)
by: Sheng, Ze, et al.
Published: (2026)
Uncovering Privacy Vulnerabilities through Analytical Gradient Inversion Attacks
by: Eltaras, Tamer Ahmed, et al.
Published: (2025)
by: Eltaras, Tamer Ahmed, et al.
Published: (2025)
When Machine Learning Meets Vulnerability Discovery: Challenges and Lessons Learned
by: Arasteh, Sima, et al.
Published: (2025)
by: Arasteh, Sima, et al.
Published: (2025)
A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services
by: Hu, Hongsheng, et al.
Published: (2023)
by: Hu, Hongsheng, et al.
Published: (2023)
QuiLL: An LLM-Based Vulnerability Assessment Framework for the Wild
by: Safdar, Rijha, et al.
Published: (2025)
by: Safdar, Rijha, et al.
Published: (2025)
Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection
by: Hossain, S M Mostaq, et al.
Published: (2025)
by: Hossain, S M Mostaq, et al.
Published: (2025)
Poster: Machine Learning for Vulnerability Detection as Target Oracle in Automated Fuzz Driver Generation
by: Castiglione, Gianpietro, et al.
Published: (2025)
by: Castiglione, Gianpietro, et al.
Published: (2025)
Vulnerability Management Chaining: An Integrated Framework for Efficient Cybersecurity Risk Prioritization
by: Shimizu, Naoyuki, et al.
Published: (2025)
by: Shimizu, Naoyuki, et al.
Published: (2025)
GOLIATH: A Decentralized Framework for Data Collection in Intelligent Transportation Systems
by: Maffiola, Davide, et al.
Published: (2025)
by: Maffiola, Davide, et al.
Published: (2025)
LLM-BSCVM: An LLM-Based Blockchain Smart Contract Vulnerability Management Framework
by: Jin, Yanli, et al.
Published: (2025)
by: Jin, Yanli, et al.
Published: (2025)
AutoPatch: Multi-Agent Framework for Patching Real-World CVE Vulnerabilities
by: Seo, Minjae, et al.
Published: (2025)
by: Seo, Minjae, et al.
Published: (2025)
Predicting Vulnerability to Malware Using Machine Learning Models: A Study on Microsoft Windows Machines
by: Esnaashari, Marzieh, et al.
Published: (2025)
by: Esnaashari, Marzieh, et al.
Published: (2025)
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable
by: Bertran, Martin, et al.
Published: (2024)
by: Bertran, Martin, et al.
Published: (2024)
Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection
by: Risse, Niklas, et al.
Published: (2023)
by: Risse, Niklas, et al.
Published: (2023)
LogicScan: An LLM-driven Framework for Detecting Business Logic Vulnerabilities in Smart Contracts
by: Gao, Jiaqi, et al.
Published: (2026)
by: Gao, Jiaqi, et al.
Published: (2026)
Vulnerability Mitigation System (VMS): LLM Agent and Evaluation Framework for Autonomous Penetration Testing
by: Abdulzada, Farzana
Published: (2025)
by: Abdulzada, Farzana
Published: (2025)
Poster: FedBlockParadox -- A Framework for Simulating and Securing Decentralized Federated Learning
by: Digregorio, Gabriele, et al.
Published: (2025)
by: Digregorio, Gabriele, et al.
Published: (2025)
Enhancing Code Vulnerability Detection via Vulnerability-Preserving Data Augmentation
by: Liu, Shangqing, et al.
Published: (2024)
by: Liu, Shangqing, et al.
Published: (2024)
SETC: A Vulnerability Telemetry Collection Framework
by: Holeman, Ryan, et al.
Published: (2024)
by: Holeman, Ryan, et al.
Published: (2024)
Similar Items
-
Did You Forkget It? Detecting One-Day Vulnerabilities in Open-source ForksWith Global History Analysis
by: Lefeuvre, Romain, et al.
Published: (2025) -
Finding Software Supply Chain Attack Paths with Logical Attack Graphs
by: Soeiro, Luıs, et al.
Published: (2025) -
Docker Does Not Guarantee Reproducibility
by: Malka, Julien, et al.
Published: (2026) -
Does Functional Package Management Enable Reproducible Builds at Scale? Yes
by: Malka, Julien, et al.
Published: (2025) -
Reproducibility of Build Environments through Space and Time
by: Malka, Julien, et al.
Published: (2024)