Image de couverture de livre

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yang, Xin, Ardakanian, Omid
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Cryptography and Security
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

PrivDiffuser: Privacy-Guided Diffusion Model for Data Obfuscation in Sensor Networks
par: Yang, Xin, et autres
Publié: (2024)

Efficient Privacy-Preserving Cross-Silo Federated Learning with Multi-Key Homomorphic Encryption
par: Omar, Abdullah Al, et autres
Publié: (2025)

Prompt Obfuscation for Large Language Models
par: Pape, David, et autres
Publié: (2024)

Good-Enough LLM Obfuscation (GELO)
par: Belikov, Anatoly, et autres
Publié: (2026)

Identifying Obfuscated Code through Graph-Based Semantic Analysis of Binary Code
par: Cohen, Roxane, et autres
Publié: (2025)

Disguised Copyright Infringement of Latent Diffusion Models
par: Lu, Yiwei, et autres
Publié: (2024)

Breaking Obfuscation: Cluster-Aware Graph with LLM-Aided Recovery for Malicious JavaScript Detection
par: Liang, Zhihong, et autres
Publié: (2025)

Command-line Obfuscation Detection using Small Language Models
par: Outrata, Vojtech, et autres
Publié: (2024)

Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models
par: Kalavasis, Alkis, et autres
Publié: (2024)

LLM Security and Safety: Insights from Homotopy-Inspired Prompt Obfuscation
par: Lazo, Luis, et autres
Publié: (2026)

A Systematic Study of Code Obfuscation Against LLM-based Vulnerability Detection
par: Li, Xiao, et autres
Publié: (2025)

LATTEO: A Framework to Support Learning Asynchronously Tempered with Trusted Execution and Obfuscation
par: Kumar, Abhinav, et autres
Publié: (2025)

Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach
par: Etter, Brian, et autres
Publié: (2024)

PSyDUCK: Training-Free Steganography for Latent Diffusion
par: Mahfuz, Aqib, et autres
Publié: (2025)

DP-LDMs: Differentially Private Latent Diffusion Models
par: Liu, Michael F., et autres
Publié: (2023)

LabObf: A Label Protection Scheme for Vertical Federated Learning Through Label Obfuscation
par: He, Ying, et autres
Publié: (2024)

DP-TLDM: Differentially Private Tabular Latent Diffusion Model
par: Zhu, Chaoyi, et autres
Publié: (2024)

Evaluating LLM-Generated Obfuscated XSS Payloads for Machine Learning-Based Detection
par: Gabbireddy, Divyesh, et autres
Publié: (2026)

Output Supervision Can Obfuscate the Chain of Thought
par: Drori, Jacob, et autres
Publié: (2025)

Contrastive Unlearning: A Contrastive Approach to Machine Unlearning
par: Lee, Hong kyu, et autres
Publié: (2024)

Contrastive Learning-Based privacy metrics in Tabular Synthetic Datasets
par: Palacios, Milton Nicolás Plasencia, et autres
Publié: (2025)

Amalgam: A Framework for Obfuscated Neural Network Training on the Cloud
par: Taki, Sifat Ut, et autres
Publié: (2024)

Latent Code Augmentation Based on Stable Diffusion for Data-free Substitute Attacks
par: Shao, Mingwen, et autres
Publié: (2023)

Node-level Contrastive Unlearning on Graph Neural Networks
par: Lee, Hong kyu, et autres
Publié: (2025)

CDI: Copyrighted Data Identification in Diffusion Models
par: Dubiński, Jan, et autres
Publié: (2024)

Obfuscated Malware Detection: Investigating Real-world Scenarios through Memory Analysis
par: Hasan, S M Rakib, et autres
Publié: (2024)

Privacy for Fairness: Information Obfuscation for Fair Representation Learning with Local Differential Privacy
par: Xie, Songjie, et autres
Publié: (2024)

N-GLARE: An Non-Generative Latent Representation-Efficient LLM Safety Evaluator
par: Lin, Zheyu, et autres
Publié: (2025)

SHFL: Secure Hierarchical Federated Learning Framework for Edge Networks
par: Tavallaie, Omid, et autres
Publié: (2024)

Vol-Mark: A Watermark for 3D Medical Volume Data Via Cubic Difference Expansion and Contrastive Learning
par: Zhu, Jiangnan, et autres
Publié: (2026)

Different Victims, Same Layout: Email Visual Similarity Detection for Enhanced Email Protection
par: Shukla, Sachin, et autres
Publié: (2024)

Contrastive Explainable Clustering with Differential Privacy
par: Nguyen, Dung, et autres
Publié: (2024)

Temporal Contrastive Transformer for Financial Crime Detection: Self-Supervised Sequence Embeddings via Predictive Contrastive Coding
par: Butvinik, Danny, et autres
Publié: (2026)

Cycle-Space Informed Detection of Autoencoded Blind False Data Injection Attacks on Power Systems
par: Li, Xin, et autres
Publié: (2026)

DiffusionHijack: Supply-Chain PRNG Backdoor Attack on Diffusion Models and Quantum Random Number Defense
par: You, Ziyang, et autres
Publié: (2026)

Data Poisoning Attacks in Intelligent Transportation Systems: A Survey
par: Wang, Feilong, et autres
Publié: (2024)

Adversarial Contrastive Learning for LLM Quantization Attacks
par: Song, Dinghong, et autres
Publié: (2026)

DarkMind: Latent Chain-of-Thought Backdoor in Customized LLMs
par: Guo, Zhen, et autres
Publié: (2025)

BLens: Contrastive Captioning of Binary Functions using Ensemble Embedding
par: Benoit, Tristan, et autres
Publié: (2024)

Debiased Graph Poisoning Attack via Contrastive Surrogate Objective
par: Yoon, Kanghoon, et autres
Publié: (2024)