activity
20192024
most citedStyle Mixer: Semantic-aware Multi-Style Transfer Network

24 citations · 48 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2024

Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning

Yuqi Jia, Minghong Fang, Hongbin Liu +2

Poisoning attacks compromise the training phase of federated learning (FL) such that the learned global model misclassifies attacker-chosen inputs called target inputs. Existing de…

cs.LG2023

Evading Watermark based Detection of AI-Generated Content

Zhengyuan Jiang, Jinghuai Zhang, Neil Zhenqiang Gong

A generative AI model can generate extremely realistic-looking content, posing growing challenges to the authenticity of information. To address the challenges, watermark has been…

cs.CR2023

PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees

Jinghuai Zhang, Jinyuan Jia, Hongbin Liu +1

Point cloud classification is an essential component in many security-critical applications such as autonomous driving and augmented reality. However, point cloud classifiers are v…

cs.CR2022★ 3 cited

CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning

Jinghuai Zhang, Hongbin Liu, Jinyuan Jia +1

Contrastive learning (CL) pre-trains general-purpose encoders using an unlabeled pre-training dataset, which consists of images or image-text pairs. CL is vulnerable to data poison…

cs.CV2021★ 21 cited

Multimodal Motion Prediction with Stacked Transformers

Yicheng Liu, Jinghuai Zhang, Liangji Fang +2

Predicting multiple plausible future trajectories of the nearby vehicles is crucial for the safety of autonomous driving. Recent motion prediction approaches attempt to achieve suc…

cs.CV2019★ 24 cited

Style Mixer: Semantic-aware Multi-Style Transfer Network

Zixuan Huang, Jinghuai Zhang, Jing Liao

Recent neural style transfer frameworks have obtained astonishing visual quality and flexibility in Single-style Transfer (SST), but little attention has been paid to Multi-style T…