Image de couverture de livre

SimProcess: High Fidelity Simulation of Noisy ICS Physical Processes

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Donadel, Denis, Crestanello, Gabriele, Morandini, Giulio, Antonioli, Daniele, Conti, Mauro, Merro, Massimo
Format:	Preprint
Publié:	2025
Sujets:	Cryptography and Security Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Profiling Electric Vehicles via Early Charging Voltage Patterns
par: Marchiori, Francesco, et autres
Publié: (2025)

Towards Robust Stability Prediction in Smart Grids: GAN-based Approach under Data Constraints and Adversarial Challenges
par: Efatinasab, Emad, et autres
Publié: (2025)

Can LLMs Classify CVEs? Investigating LLMs Capabilities in Computing CVSS Vectors
par: Marchiori, Francesco, et autres
Publié: (2025)

Hyperloop: A Cybersecurity Perspective
par: Brighente, Alessandro, et autres
Publié: (2022)

When Authentication Is Not Enough: On the Security of Behavioral-Based Driver Authentication Systems
par: Efatinasab, Emad, et autres
Publié: (2023)

Development of an Edge Resilient ML Ensemble to Tolerate ICS Adversarial Attacks
par: Yao, Likai, et autres
Publié: (2024)

E-Trojans: Ransomware, Tracking, DoS, and Data Leaks on Battery-powered Embedded Systems
par: Casagrande, Marco, et autres
Publié: (2024)

CANTXSec: A Deterministic Intrusion Detection and Prevention System for CAN Bus Monitoring ECU Activations
par: Donadel, Denis, et autres
Publié: (2025)

LLMPot: Dynamically Configured LLM-based Honeypot for Industrial Protocol and Physical Process Emulation
par: Vasilatos, Christoforos, et autres
Publié: (2024)

Label Inference Attacks against Node-level Vertical Federated GNNs
par: Arazzi, Marco, et autres
Publié: (2023)

Time Constant: Actuator Fingerprinting using Transient Response of Device and Process in ICS
par: Ahmed, Chuadhry Mujeeb, et autres
Publié: (2024)

Privacy-aware Gaussian Process Regression
par: Tuo, Rui, et autres
Publié: (2023)

Privacy Preserving Reinforcement Learning for Population Processes
par: Yang-Zhao, Samuel, et autres
Publié: (2024)

Naturally Private Recommendations with Determinantal Point Processes
par: Fitzsimons, Jack, et autres
Publié: (2024)

CTRAPS: CTAP Client Impersonation and API Confusion on FIDO2
par: Casagrande, Marco, et autres
Publié: (2024)

Differentiable Adversarial Attacks for Marked Temporal Point Processes
par: Chakraborty, Pritish, et autres
Publié: (2025)

Improving the Utility of Differentially Private Clustering through Dynamical Processing
par: Byun, Junyoung, et autres
Publié: (2023)

Towards a Self-rescuing System for UAVs Under GNSS Attack
par: Rigoni, Giulio, et autres
Publié: (2024)

Noisy Neighbors: Efficient membership inference attacks against LLMs
par: Galli, Filippo, et autres
Publié: (2024)

Certified Machine Unlearning via Noisy Stochastic Gradient Descent
par: Chien, Eli, et autres
Publié: (2024)

Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness
par: Chien, Eli, et autres
Publié: (2024)

Pure Differential Privacy for Functional Summaries with a Laplace-like Process
par: Lin, Haotian, et autres
Publié: (2023)

Learning Joint Embeddings of Function and Process Call Graphs for Malware Detection
par: Aneja, Kartikeya, et autres
Publié: (2025)

Privacy-Preserving UCB Decision Process Verification via zk-SNARKs
par: Jiang, Xikun, et autres
Publié: (2024)

SimKey: A Semantically Aware Key Module for Watermarking Language Models
par: Kodama, Shingo, et autres
Publié: (2025)

Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training
par: Greenewald, Kristjan, et autres
Publié: (2024)

Adapting Noise-Driven PUF and AI for Secure WBG ICS: A Proof-of-Concept Study
par: Kelly, Devon A., et autres
Publié: (2025)

Turning Federated Learning Systems Into Covert Channels
par: Costa, Gabriele, et autres
Publié: (2021)

Trust the Process: Zero-Knowledge Machine Learning to Enhance Trust in Generative AI Interactions
par: Ganescu, Bianca-Mihaela, et autres
Publié: (2024)

Elevating Defenses: Bridging Adversarial Training and Watermarking for Model Resilience
par: Thakkar, Janvi, et autres
Publié: (2023)

"All of Me": Mining Users' Attributes from their Public Spotify Playlists
par: Tricomi, Pier Paolo, et autres
Publié: (2024)

Nosy Layers, Noisy Fixes: Tackling DRAs in Federated Learning Systems using Explainable AI
par: Nandi, Meghali, et autres
Publié: (2025)

Fidelity, Diversity, and Privacy: A Multi-Dimensional LLM Evaluation for Clinical Data Augmentation
par: Iglesias, Guillermo, et autres
Publié: (2026)

OmniLytics+: A Secure, Efficient, and Affordable Blockchain Data Market for Machine Learning through Off-Chain Processing
par: Li, Songze, et autres
Publié: (2024)

Timber! Poisoning Decision Trees
par: Calzavara, Stefano, et autres
Publié: (2024)

Real-PGDN: A Two-level Classification Method for Full-Process Recognition of Newly Registered Pornographic and Gambling Domain Names
par: Wang, Hao, et autres
Publié: (2025)

A Backdoor-based Explainable AI Benchmark for High Fidelity Evaluation of Attributions
par: Yang, Peiyu, et autres
Publié: (2024)

Development of an Adapter for Analyzing and Protecting Machine Learning Models from Competitive Activity in the Networks Services
par: Parfenov, Denis, et autres
Publié: (2025)

Federated Neural Nonparametric Point Processes
par: Chen, Hui, et autres
Publié: (2024)

GPML: Graph Processing for Machine Learning
par: Jaber, Majed, et autres
Publié: (2025)