Zhibo Wang | DeepAI

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Featured Co-authors

Qian Wang
147 publications
Mubarak Shah
125 publications
Chen Qian
106 publications
Cong Wang
84 publications
Quan Wang
68 publications
Peng Sun
60 publications
Kui Ren
57 publications
Feng Xu
50 publications
Yang Song
49 publications
Xiaoyu Zhang
42 publications
Hairong Qi
35 publications

∙ 09/20/2023

Locate and Verify: A Two-Stream Network for Improved Deepfake Detection

Deepfake has taken the world by storm, triggering a trust crisis. Curren...

0 Chao Shuai, et al. ∙

∙ 09/18/2023

DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues

The malicious use and widespread dissemination of deepfake pose a signif...

0 Kun Pan, et al. ∙

∙ 07/03/2023

A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives

Backdoor attacks pose serious security threats to deep neural networks (...

0 Yudong Gao, et al. ∙

∙ 03/21/2023

Learning a 3D Morphable Face Reflectance Model from Low-cost Data

Modeling non-Lambertian effects such as facial specularity leads to a mo...

0 Yuxuan Han, et al. ∙

∙ 11/25/2022

ShadowNeuS: Neural SDF Reconstruction by Shadow Ray Supervision

By supervising camera rays between a scene and multi-view image planes, ...

0 Jingwang Ling, et al. ∙

∙ 07/19/2022

Structure-aware Editable Morphable Model for 3D Facial Detail Animation and Manipulation

Morphable models are essential for the statistical modeling of 3D faces....

0 Jingwang Ling, et al. ∙

∙ 06/05/2022

Vanilla Feature Distillation for Improving the Accuracy-Robustness Trade-Off in Adversarial Training

Adversarial training has been widely explored for mitigating attacks aga...

0 Guodong Cao, et al. ∙

∙ 03/20/2022

Portrait Eyeglasses and Shadow Removal by Leveraging 3D Synthetic Data

In portraits, eyeglasses may occlude facial regions and generate cast sh...

0 Junfeng Lyu, et al. ∙

∙ 03/03/2022

Fairness-aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models

Prioritizing fairness is of central importance in artificial intelligenc...

0 Zhibo Wang, et al. ∙

∙ 07/29/2021

Feature Importance-aware Transferable Adversarial Attacks

Transferability of adversarial examples is of central importance for att...

0 Zhibo Wang, et al. ∙

∙ 02/22/2020

Optimizing Privacy-Preserving Outsourced Convolutional Neural Network Predictions

Neural networks provide better prediction performance than previous tech...

0 Minghui Li, et al. ∙

∙ 11/17/2019

Unsupervised Visual Representation Learning with Increasing Object Shape Bias

(Very early draft)Traditional supervised learning keeps pushing convolut...

0 Zhibo Wang, et al. ∙

∙ 09/20/2019

Augmenting Encrypted Search: A Decentralized Service Realization with Enforced Execution

Searchable symmetric encryption (SSE) allows the data owner to outsource...

0 Shengshan Hu, et al. ∙

∙ 08/25/2019

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns

Person re-identification (re-ID) is the task of matching person images a...

13 Zhibo Wang, et al. ∙

∙ 12/03/2018

Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning

Federated learning, i.e., a mobile edge computing framework for deep lea...

0 Zhibo Wang, et al. ∙

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