activity
20232026
most citedAdv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent Diffusion Model

1 citations · 2 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2026

Bridging Data Trials and Task Barriers: A Unified Framework for Sketch Biometric Identification

Decheng Liu, Bin Hu, Xinbo Gao +4

Different from existing cross-modality identification tasks (e.g., heterogeneous face recognition, sketch re-identification, etc.), we introduce a novel yet practical setting for t…

cs.CV2024

Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluations

Decheng Liu, Zongqi Wang, Chunlei Peng +3

Due to the successful development of deep image generation technology, forgery detection plays a more important role in social and economic security. Racial bias has not been explo…

cs.CV2024

Federated Face Forgery Detection Learning with Personalized Representation

Decheng Liu, Zhan Dang, Chunlei Peng +3

Deep generator technology can produce high-quality fake videos that are indistinguishable, posing a serious social threat. Traditional forgery detection methods directly centralize…

cs.CV2024

Improving Adversarial Robustness via Decoupled Visual Representation Masking

Decheng Liu, Tao Chen, Chunlei Peng +3

Deep neural networks are proven to be vulnerable to fine-designed adversarial examples, and adversarial defense algorithms draw more and more attention nowadays. Pre-processing bas…

cs.CV2024

Masked Attribute Description Embedding for Cloth-Changing Person Re-identification

Chunlei Peng, Boyu Wang, Decheng Liu +3

Cloth-changing person re-identification (CC-ReID) aims to match persons who change clothes over long periods. The key challenge in CC-ReID is to extract clothing-independent featur…

cs.CV2023★ 1 cited

Adv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent Diffusion Model

Decheng Liu, Xijun Wang, Chunlei Peng +3

Adversarial attacks involve adding perturbations to the source image to cause misclassification by the target model, which demonstrates the potential of attacking face recognition…

cs.CV2023

Symmetrical Bidirectional Knowledge Alignment for Zero-Shot Sketch-Based Image Retrieval

Decheng Liu, Xu Luo, Chunlei Peng +3

This paper studies the problem of zero-shot sketch-based image retrieval (ZS-SBIR), which aims to use sketches from unseen categories as queries to match the images of the same cat…

cs.CV2023★ 1 cited

DeepFidelity: Perceptual Forgery Fidelity Assessment for Deepfake Detection

Chunlei Peng, Huiqing Guo, Decheng Liu +3

Deepfake detection refers to detecting artificially generated or edited faces in images or videos, which plays an essential role in visual information security. Despite promising p…

cs.IR2023

Toward Trustworthy Identity Tracing via Multi-attribute Synergistic Identification

Decheng Liu, Jiahao Yu, Ruimin Hu +1

Identity tracing is a technology that uses the selection and collection of identity attributes of the object to be tested to discover its true identity, and it is one of the most i…