Cover Image

ICAS: Detecting Training Data from Autoregressive Image Generative Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yu, Hongyao, Qiu, Yixiang, Yang, Yiheng, Fang, Hao, Zhuang, Tianqu, Hong, Jiaxin, Chen, Bin, Wu, Hao, Xia, Shu-Tao
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MIBench: A Comprehensive Framework for Benchmarking Model Inversion Attack and Defense
by: Qiu, Yixiang, et al.
Published: (2024)

Rank Matters: Understanding and Defending Model Inversion Attacks via Low-Rank Feature Filtering
by: Yu, Hongyao, et al.
Published: (2024)

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization
by: Qiu, Yixiang, et al.
Published: (2025)

Prompt2Fingerprint: Plug-and-Play LLM Fingerprinting via Text-to-Weight Generation
by: Chen, Sixu, et al.
Published: (2026)

Secure and Scalable Face Retrieval via Cancelable Product Quantization
by: Tang, Haomiao, et al.
Published: (2025)

GPU-Accelerated Interpretable Generalization for Rapid Cyberattack Detection and Forensics
by: Huang, Shu-Ting, et al.
Published: (2025)

Training-Free Watermarking for Autoregressive Image Generation
by: Tong, Yu, et al.
Published: (2025)

SINCon: Mitigate LLM-Generated Malicious Message Injection Attack for Rumor Detection
by: Zhang, Mingqing, et al.
Published: (2025)

One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models
by: Fang, Hao, et al.
Published: (2024)

Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation
by: Zhou, Yuxuan, et al.
Published: (2025)

Security and Privacy on Generative Data in AIGC: A Survey
by: Wang, Tao, et al.
Published: (2023)

WATER-GS: Toward Copyright Protection for 3D Gaussian Splatting via Universal Watermarking
by: Tan, Yuqi, et al.
Published: (2024)

Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training
by: Greenewald, Kristjan, et al.
Published: (2024)

JPRO: Automated Multimodal Jailbreaking via Multi-Agent Collaboration Framework
by: Zhou, Yuxuan, et al.
Published: (2025)

Search-based Ordered Password Generation of Autoregressive Neural Networks
by: Jin, Min, et al.
Published: (2024)

From Component Manipulation to System Compromise: Understanding and Detecting Malicious MCP Servers
by: Huang, Yiheng, et al.
Published: (2026)

Detecting Code Vulnerabilities with Heterogeneous GNN Training
by: Luo, Yu, et al.
Published: (2025)

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack
by: Hui, Siqi, et al.
Published: (2025)

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

MemoPhishAgent: Memory-Augmented Multi-Modal LLM Agent for Phishing URL Detection
by: Chen, Xuan, et al.
Published: (2026)

Cloud-Edge Collaborative Data Anomaly Detection in Industrial Sensor Networks
by: Yang, Tao, et al.
Published: (2022)

Dye4AI: Assuring Data Boundary on Generative AI Services
by: Wang, Shu, et al.
Published: (2024)

On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts
by: Wu, Yixin, et al.
Published: (2023)

An Interpretable Generalization Mechanism for Accurately Detecting Anomaly and Identifying Networking Intrusion Techniques
by: Pai, Hao-Ting, et al.
Published: (2024)

SmartIntentNN: Towards Smart Contract Intent Detection
by: Huang, Youwei, et al.
Published: (2022)

Select Me! When You Need a Tool: A Black-box Text Attack on Tool Selection
by: Chen, Liuji, et al.
Published: (2025)

Stealthy Targeted Backdoor Attacks against Image Captioning
by: Fan, Wenshu, et al.
Published: (2024)

Real-CATS: A Practical Training Ground for Emerging Research on Cryptocurrency Cybercrime Detection
by: Shi, Jiadong, et al.
Published: (2025)

GRIDAI: Generating and Repairing Intrusion Detection Rules via Collaboration among Multiple LLM-based Agents
by: Li, Jiarui, et al.
Published: (2025)

Detecting Malicious Concepts without Image Generation in AI-Generated Content (AIGC)
by: Xu, Kun, et al.
Published: (2025)

BlockScan: Detecting Anomalies in Blockchain Transactions
by: Yu, Jiahao, et al.
Published: (2024)

Why does weak-OOD help? A Further Step Towards Understanding Jailbreaking VLMs
by: Zhou, Yuxuan, et al.
Published: (2025)

MCPGuard : Automatically Detecting Vulnerabilities in MCP Servers
by: Wang, Bin, et al.
Published: (2025)

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph
by: Zhou, Jiajun, et al.
Published: (2025)

Hijacking Attacks against Neural Networks by Analyzing Training Data
by: Ge, Yunjie, et al.
Published: (2024)

Training-Free In-Context Forensic Chain for Image Manipulation Detection and Localization
by: Chen, Rui, et al.
Published: (2025)

SolPhishHunter: Towards Detecting and Understanding Phishing on Solana
by: Li, Ziwei, et al.
Published: (2025)

LeakyCLIP: Extracting Training Data from CLIP
by: Chen, Yunhao, et al.
Published: (2025)

Generative AI for Critical Infrastructure in Smart Grids: A Unified Framework for Synthetic Data Generation and Anomaly Detection
by: Zaboli, Aydin, et al.
Published: (2025)

Multi-Granular Discretization for Interpretable Generalization in Precise Cyberattack Identification
by: Chung, Wen-Cheng, et al.
Published: (2025)