7 citations · 11 across the 10 of their papers we have counts for
10 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…
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…
TEAM: Temporal Adversarial Examples Attack Model against Network Intrusion Detection System Applied to RNN
Ziyi Liu, Dengpan Ye, Long Tang +2
With the development of artificial intelligence, neural networks play a key role in network intrusion detection systems (NIDS). Despite the tremendous advantages, neural networks a…
DIP-Watermark: A Double Identity Protection Method Based on Robust Adversarial Watermark
Yunming Zhang, Dengpan Ye, Caiyun Xie +4
The wide deployment of Face Recognition (FR) systems poses privacy risks. One countermeasure is adversarial attack, deceiving unauthorized malicious FR, but it also disrupts regula…
AVT2-DWF: Improving Deepfake Detection with Audio-Visual Fusion and Dynamic Weighting Strategies
Rui Wang, Dengpan Ye, Long Tang +2
With the continuous improvements of deepfake methods, forgery messages have transitioned from single-modality to multi-modal fusion, posing new challenges for existing forgery dete…
Dual Defense: Adversarial, Traceable, and Invisible Robust Watermarking against Face Swapping
Yunming Zhang, Dengpan Ye, Caiyun Xie +4
The malicious applications of deep forgery, represented by face swapping, have introduced security threats such as misinformation dissemination and identity fraud. While some resea…
Feature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors
Long Tang, Dengpan Ye, Zhenhao Lu +4
Adversarial example is a rising way of protecting facial privacy security from deepfake modification. To prevent massive facial images from being illegally modified by various deep…