Chengzhi Mao

According to our database1, Chengzhi Mao authored at least 30 papers between 2016 and 2024.

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Bibliography

2024
Raidar: geneRative AI Detection viA Rewriting.
CoRR, 2024

2023
Robustifying Language Models with Test-Time Adaptation.
CoRR, 2023

Interpreting and Controlling Vision Foundation Models via Text Explanations.
CoRR, 2023

Towards Causal Deep Learning for Vulnerability Detection.
CoRR, 2023

Monitoring and Adapting ML Models on Mobile Devices.
CoRR, 2023

Test-time Detection and Repair of Adversarial Samples via Masked Autoencoder.
CoRR, 2023

Self-Supervised Convolutional Visual Prompts.
CoRR, 2023

Convolutional Visual Prompt for Robust Visual Perception.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robust Perception through Equivariance.
Proceedings of the International Conference on Machine Learning, 2023

Understanding Zero-shot Adversarial Robustness for Large-Scale Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Landscape Learning for Neural Network Inversion.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Doubly Right Object Recognition: A Why Prompt for Visual Rationales.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

What You Can Reconstruct from a Shadow.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Adversarially Robust Video Perception by Seeing Motion.
CoRR, 2022

1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^2Struct).
CoRR, 2022

Shadows Shed Light on 3D Objects.
CoRR, 2022

Using Multiple Self-Supervised Tasks Improves Model Robustness.
CoRR, 2022

A Tale of Two Models: Constructing Evasive Attacks on Edge Models.
Proceedings of Machine Learning and Systems 2022, 2022

Discrete Representations Strengthen Vision Transformer Robustness.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Real-Time Neural Voice Camouflage.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Causal Transportability for Visual Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Adversarial Attacks are Reversible with Natural Supervision.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Generative Interventions for Causal Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Multitask Learning Strengthens Adversarial Robustness.
Proceedings of the Computer Vision - ECCV 2020, 2020

Live Trojan Attacks on Deep Neural Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Unrestricted Adversarial Attacks for Semantic Segmentation.
CoRR, 2019

Metric Learning for Adversarial Robustness.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
A Probabilistic Learning Approach to UWB Ranging Error Mitigation.
Proceedings of the IEEE Global Communications Conference, 2018

2016
Deep self-organizing reservoir computing model for visual object recognition.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016


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