Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework
Fuente:
arXiv
Saved in:
| Main Authors: | Yin, Minglei, Liu, Bin, Gong, Neil Zhenqiang, Li, Xin |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Leave My Images Alone: Preventing Multi-Modal Large Language Models from Analyzing Images via Visual Prompt Injection
by: Shao, Zedian, et al.
Published: (2026)
by: Shao, Zedian, et al.
Published: (2026)
EditTrack: Detecting and Attributing AI-assisted Image Editing
by: Jiang, Zhengyuan, et al.
Published: (2025)
by: Jiang, Zhengyuan, et al.
Published: (2025)
Refusing Safe Prompts for Multi-modal Large Language Models
by: Shao, Zedian, et al.
Published: (2024)
by: Shao, Zedian, et al.
Published: (2024)
Jailbreaking Safeguarded Text-to-Image Models via Large Language Models
by: Jiang, Zhengyuan, et al.
Published: (2025)
by: Jiang, Zhengyuan, et al.
Published: (2025)
Unveiling Hidden Visual Information: A Reconstruction Attack Against Adversarial Visual Information Hiding
by: Jang, Jonggyu, et al.
Published: (2024)
by: Jang, Jonggyu, et al.
Published: (2024)
Training-Free In-Context Forensic Chain for Image Manipulation Detection and Localization
by: Chen, Rui, et al.
Published: (2025)
by: Chen, Rui, et al.
Published: (2025)
Wukong Framework for Not Safe For Work Detection in Text-to-Image systems
by: Liu, Mingrui, et al.
Published: (2025)
by: Liu, Mingrui, et al.
Published: (2025)
Image-based Prompt Injection: Hijacking Multimodal LLMs through Visually Embedded Adversarial Instructions
by: Nagaraja, Neha, et al.
Published: (2026)
by: Nagaraja, Neha, et al.
Published: (2026)
When Think-with-Image Meets Safety: What Determines Multimodal Jailbreak Robustness?
by: Tian, Yuan, et al.
Published: (2026)
by: Tian, Yuan, et al.
Published: (2026)
CAAP: Capture-Aware Adversarial Patch Attacks on Palmprint Recognition Models
by: Liu, Renyang, et al.
Published: (2026)
by: Liu, Renyang, et al.
Published: (2026)
The Adversarial AI-Art: Understanding, Generation, Detection, and Benchmarking
by: Li, Yuying, et al.
Published: (2024)
by: Li, Yuying, et al.
Published: (2024)
On the Adversarial Robustness of Large Vision-Language Models under Visual Token Compression
by: Zhang, Xinwei, et al.
Published: (2026)
by: Zhang, Xinwei, et al.
Published: (2026)
Disentangling Adversarial Prompts: A Semantic-Graph Defense for Robust LLM Security
by: Fang, Xiang, et al.
Published: (2026)
by: Fang, Xiang, et al.
Published: (2026)
Transient Adversarial 3D Projection Attacks on Object Detection in Autonomous Driving
by: Zhou, Ce, et al.
Published: (2024)
by: Zhou, Ce, et al.
Published: (2024)
MIDAS: Multi-Image Dispersion and Semantic Reconstruction for Jailbreaking MLLMs
by: Liu, Yilian, et al.
Published: (2026)
by: Liu, Yilian, et al.
Published: (2026)
SafeText: Safe Text-to-image Models via Aligning the Text Encoder
by: Hu, Yuepeng, et al.
Published: (2025)
by: Hu, Yuepeng, et al.
Published: (2025)
VideoMarkBench: Benchmarking Robustness of Video Watermarking
by: Jiang, Zhengyuan, et al.
Published: (2025)
by: Jiang, Zhengyuan, et al.
Published: (2025)
Watermark-based Attribution of AI-Generated Content
by: Jiang, Zhengyuan, et al.
Published: (2024)
by: Jiang, Zhengyuan, et al.
Published: (2024)
Robustness of Vision Foundation Models to Common Perturbations
by: Liu, Hongbin, et al.
Published: (2026)
by: Liu, Hongbin, et al.
Published: (2026)
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework
by: Guo, Ping, et al.
Published: (2025)
by: Guo, Ping, et al.
Published: (2025)
Autoencoder-based Denoising Defense against Adversarial Attacks on Object Detection
by: Song, Min Geun, et al.
Published: (2025)
by: Song, Min Geun, et al.
Published: (2025)
Adversarial Attacks and Defenses on Text-to-Image Diffusion Models: A Survey
by: Zhang, Chenyu, et al.
Published: (2024)
by: Zhang, Chenyu, et al.
Published: (2024)
ICAS: Detecting Training Data from Autoregressive Image Generative Models
by: Yu, Hongyao, et al.
Published: (2025)
by: Yu, Hongyao, et al.
Published: (2025)
Physical Evaluation of Naturalistic Adversarial Patches for Camera-Based Traffic-Sign Detection
by: D'Urso, Brianna, et al.
Published: (2026)
by: D'Urso, Brianna, et al.
Published: (2026)
Who Can See Through You? Adversarial Shielding Against VLM-Based Attribute Inference Attacks
by: Fan, Yucheng, et al.
Published: (2025)
by: Fan, Yucheng, et al.
Published: (2025)
PLA: Prompt Learning Attack against Text-to-Image Generative Models
by: Lyu, Xinqi, et al.
Published: (2025)
by: Lyu, Xinqi, et al.
Published: (2025)
Security Risk of Misalignment between Text and Image in Multi-modal Model
by: Wang, Xiaosen, et al.
Published: (2025)
by: Wang, Xiaosen, et al.
Published: (2025)
Detection of Adversarial Attacks in Robotic Perception
by: Sharawy, Ziad, et al.
Published: (2026)
by: Sharawy, Ziad, et al.
Published: (2026)
Superpixel Attack: Enhancing Black-box Adversarial Attack with Image-driven Division Areas
by: Oe, Issa, et al.
Published: (2025)
by: Oe, Issa, et al.
Published: (2025)
Watertox: The Art of Simplicity in Universal Attacks A Cross-Model Framework for Robust Adversarial Generation
by: Gao, Zhenghao, et al.
Published: (2024)
by: Gao, Zhenghao, et al.
Published: (2024)
CipherDM: Secure Three-Party Inference for Diffusion Model Sampling
by: Zhao, Xin, et al.
Published: (2024)
by: Zhao, Xin, et al.
Published: (2024)
Towards Context-Aware Image Anonymization with Multi-Agent Reasoning
by: Aufschläger, Robert, et al.
Published: (2026)
by: Aufschläger, Robert, et al.
Published: (2026)
Beyond Vulnerabilities: A Survey of Adversarial Attacks as Both Threats and Defenses in Computer Vision Systems
by: Guo, Zhongliang, et al.
Published: (2025)
by: Guo, Zhongliang, et al.
Published: (2025)
Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume
by: Guo, Ping, et al.
Published: (2024)
by: Guo, Ping, et al.
Published: (2024)
Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning
by: Jia, Yuqi, et al.
Published: (2024)
by: Jia, Yuqi, et al.
Published: (2024)
Combating Digitally Altered Images: Deepfake Detection
by: Kumar, Saksham, et al.
Published: (2025)
by: Kumar, Saksham, et al.
Published: (2025)
SE-Enhanced ViT and BiLSTM-Based Intrusion Detection for Secure IIoT and IoMT Environments
by: Gueriani, Afrah, et al.
Published: (2026)
by: Gueriani, Afrah, et al.
Published: (2026)
Fight Perturbations with Perturbations: Defending Adversarial Attacks via Neuron Influence
by: Chen, Ruoxi, et al.
Published: (2021)
by: Chen, Ruoxi, et al.
Published: (2021)
Fingerprinting Image-to-Image Generative Adversarial Networks
by: Li, Guanlin, et al.
Published: (2021)
by: Li, Guanlin, et al.
Published: (2021)
Comparative Evaluation of Deep Learning Models for Fake Image Detection
by: Pakala, Akhitha, et al.
Published: (2026)
by: Pakala, Akhitha, et al.
Published: (2026)
Similar Items
-
Leave My Images Alone: Preventing Multi-Modal Large Language Models from Analyzing Images via Visual Prompt Injection
by: Shao, Zedian, et al.
Published: (2026) -
EditTrack: Detecting and Attributing AI-assisted Image Editing
by: Jiang, Zhengyuan, et al.
Published: (2025) -
Refusing Safe Prompts for Multi-modal Large Language Models
by: Shao, Zedian, et al.
Published: (2024) -
Jailbreaking Safeguarded Text-to-Image Models via Large Language Models
by: Jiang, Zhengyuan, et al.
Published: (2025) -
Unveiling Hidden Visual Information: A Reconstruction Attack Against Adversarial Visual Information Hiding
by: Jang, Jonggyu, et al.
Published: (2024)