54 citations · 63 across the 6 of their papers we have counts for
6 papers
DUAW: Data-free Universal Adversarial Watermark against Stable Diffusion Customization
Xiaoyu Ye, Hao Huang, Jiaqi An +1
Stable Diffusion (SD) customization approaches enable users to personalize SD model outputs, greatly enhancing the flexibility and diversity of AI art. However, they also allow ind…
SE-Bridge: Speech Enhancement with Consistent Brownian Bridge
Zhibin Qiu, Mengfan Fu, Fuchun Sun +2
We propose SE-Bridge, a novel method for speech enhancement (SE). After recently applying the diffusion models to speech enhancement, we can achieve speech enhancement by solving a…
T-SEA: Transfer-based Self-Ensemble Attack on Object Detection
Hao Huang, Ziyan Chen, Huanran Chen +2
Compared to query-based black-box attacks, transfer-based black-box attacks do not require any information of the attacked models, which ensures their secrecy. However, most existi…
Unsupervised Prompt Learning for Vision-Language Models
Tony Huang, Jack Chu, Fangyun Wei
Contrastive vision-language models like CLIP have shown great progress in transfer learning. In the inference stage, the proper text description, also known as prompt, needs to be…
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes
Hao Huang, Yongtao Wang, Zhaoyu Chen +7
Malicious applications of deepfakes (i.e., technologies generating target facial attributes or entire faces from facial images) have posed a huge threat to individuals' reputation…
RPATTACK: Refined Patch Attack on General Object Detectors
Hao Huang, Yongtao Wang, Zhaoyu Chen +3
Nowadays, general object detectors like YOLO and Faster R-CNN as well as their variants are widely exploited in many applications. Many works have revealed that these detectors are…