7 papers
Make the Most of Everything: Further Considerations on Disrupting Diffusion-based Customization
Long Tang, Dengpan Ye, Sirun Chen +3
The fine-tuning technique for text-to-image diffusion models facilitates image customization but risks privacy breaches and opinion manipulation. Current research focuses on prompt…
Three-in-One: Robust Enhanced Universal Transferable Anti-Facial Retrieval in Online Social Networks
Yunna Lv, Long Tang, Dengpan Ye +3
Deep hash-based retrieval techniques are widely used in facial retrieval systems to improve the efficiency of facial matching. However, it also carries the danger of exposing priva…
Simplicity over Complexity: An ARN-Based Intrusion Detection Method for Industrial Control Network
Ziyi Liu, Dengpan Ye, Changsong Yang +4
Industrial control network (ICN) is characterized by real-time responsiveness and reliability, which plays a key role in increasing production speed, rational and efficient process…
Take Fake as Real: Realistic-like Robust Black-box Adversarial Attack to Evade AIGC Detection
Caiyun Xie, Dengpan Ye, Yunming Zhang +4
The security of AI-generated content (AIGC) detection is crucial for ensuring multimedia content credibility. To enhance detector security, research on adversarial attacks has beco…
StyleMark: A Robust Watermarking Method for Art Style Images Against Black-Box Arbitrary Style Transfer
Yunming Zhang, Dengpan Ye, Sipeng Shen +1
Arbitrary Style Transfer (AST) achieves the rendering of real natural images into the painting styles of arbitrary art style images, promoting art communication. However, misuse of…
ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models
Sipeng Shen, Yunming Zhang, Dengpan Ye +5
While face recognition (FR) models have brought remarkable convenience in face verification and identification, they also pose substantial privacy risks to the public. Existing fac…