Alert button
Picture for Haotao Wang

Haotao Wang

Alert button

Safe and Robust Watermark Injection with a Single OoD Image

Sep 04, 2023
Shuyang Yu, Junyuan Hong, Haobo Zhang, Haotao Wang, Zhangyang Wang, Jiayu Zhou

Figure 1 for Safe and Robust Watermark Injection with a Single OoD Image
Figure 2 for Safe and Robust Watermark Injection with a Single OoD Image
Figure 3 for Safe and Robust Watermark Injection with a Single OoD Image
Figure 4 for Safe and Robust Watermark Injection with a Single OoD Image
Viaarxiv icon

Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling

Apr 06, 2023
Haotao Wang, Ziyu Jiang, Yan Han, Zhangyang Wang

Figure 1 for Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling
Figure 2 for Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling
Figure 3 for Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling
Figure 4 for Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling
Viaarxiv icon

Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork

Oct 12, 2022
Haotao Wang, Junyuan Hong, Aston Zhang, Jiayu Zhou, Zhangyang Wang

Figure 1 for Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork
Figure 2 for Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork
Figure 3 for Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork
Figure 4 for Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork
Viaarxiv icon

How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts

Jul 04, 2022
Haotao Wang, Junyuan Hong, Jiayu Zhou, Zhangyang Wang

Figure 1 for How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts
Figure 2 for How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts
Figure 3 for How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts
Figure 4 for How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts
Viaarxiv icon

Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition

Jul 04, 2022
Haotao Wang, Aston Zhang, Yi Zhu, Shuai Zheng, Mu Li, Alex Smola, Zhangyang Wang

Figure 1 for Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition
Figure 2 for Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition
Figure 3 for Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition
Figure 4 for Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition
Viaarxiv icon

Removing Batch Normalization Boosts Adversarial Training

Jul 04, 2022
Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang

Figure 1 for Removing Batch Normalization Boosts Adversarial Training
Figure 2 for Removing Batch Normalization Boosts Adversarial Training
Figure 3 for Removing Batch Normalization Boosts Adversarial Training
Figure 4 for Removing Batch Normalization Boosts Adversarial Training
Viaarxiv icon

Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization

Mar 18, 2022
Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou

Figure 1 for Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization
Figure 2 for Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization
Figure 3 for Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization
Figure 4 for Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization
Viaarxiv icon

AugMax: Adversarial Composition of Random Augmentations for Robust Training

Oct 26, 2021
Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Anima Anandkumar, Zhangyang Wang

Figure 1 for AugMax: Adversarial Composition of Random Augmentations for Robust Training
Figure 2 for AugMax: Adversarial Composition of Random Augmentations for Robust Training
Figure 3 for AugMax: Adversarial Composition of Random Augmentations for Robust Training
Figure 4 for AugMax: Adversarial Composition of Random Augmentations for Robust Training
Viaarxiv icon

Federated Robustness Propagation: Sharing Adversarial Robustness in Federated Learning

Jun 18, 2021
Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou

Figure 1 for Federated Robustness Propagation: Sharing Adversarial Robustness in Federated Learning
Figure 2 for Federated Robustness Propagation: Sharing Adversarial Robustness in Federated Learning
Figure 3 for Federated Robustness Propagation: Sharing Adversarial Robustness in Federated Learning
Figure 4 for Federated Robustness Propagation: Sharing Adversarial Robustness in Federated Learning
Viaarxiv icon

Practical Machine Learning Safety: A Survey and Primer

Jun 09, 2021
Sina Mohseni, Haotao Wang, Zhiding Yu, Chaowei Xiao, Zhangyang Wang, Jay Yadawa

Figure 1 for Practical Machine Learning Safety: A Survey and Primer
Figure 2 for Practical Machine Learning Safety: A Survey and Primer
Figure 3 for Practical Machine Learning Safety: A Survey and Primer
Viaarxiv icon