Chengzhi Mao

According to our database, Chengzhi Mao authored at least 38 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Matrix Factorization Recommendation Algorithm Based on Attention Interaction.

Chengzhi Mao, Zhifeng Wu, Yingjie Liu, Zhiwei Shi

Symmetry, March, 2024

SPIN: Self-Supervised Prompt INjection.

Leon Zhou, Junfeng Yang, Chengzhi Mao

CoRR, 2024

Learning to Rewrite: Generalized LLM-Generated Text Detection.

Wei Hao, Ran Li, Weiliang Zhao, Junfeng Yang, Chengzhi Mao

CoRR, 2024

Turns Out I'm Not Real: Towards Robust Detection of AI-Generated Videos.

Qingyuan Liu, Pengyuan Shi, Yun-Yun Tsai, Chengzhi Mao, Junfeng Yang

CoRR, 2024

Towards Causal Deep Learning for Vulnerability Detection.

Md Mahbubur Rahman, Ira Ceka, Chengzhi Mao, Saikat Chakraborty, Baishakhi Ray, Wei Le

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

SelfIE: Self-Interpretation of Large Language Model Embeddings.

Haozhe Chen, Carl Vondrick, Chengzhi Mao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Raidar: geneRative AI Detection viA Rewriting.

Chengzhi Mao, Carl Vondrick, Hao Wang, Junfeng Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

INViTE: INterpret and Control Vision-Language Models with Text Explanations.

Haozhe Chen, Junfeng Yang, Carl Vondrick, Chengzhi Mao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

RAFT: Realistic Attacks to Fool Text Detectors.

James Wang, Ran Li, Junfeng Yang, Chengzhi Mao

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object.

Chenshuang Zhang, Fei Pan, Junmo Kim, In So Kweon, Chengzhi Mao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Robustifying Language Models with Test-Time Adaptation.

Noah Thomas McDermott, Junfeng Yang, Chengzhi Mao

CoRR, 2023

Interpreting and Controlling Vision Foundation Models via Text Explanations.

Haozhe Chen, Junfeng Yang, Carl Vondrick, Chengzhi Mao

CoRR, 2023

Monitoring and Adapting ML Models on Mobile Devices.

Wei Hao, Zixi Wang, Lauren Hong, Lingxiao Li, Nader Karayanni, Chengzhi Mao, Junfeng Yang, Asaf Cidon

CoRR, 2023

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

Yun-Yun Tsai, Ju-Chin Chao, Albert Wen, Zhaoyuan Yang, Chengzhi Mao, Tapan Shah, Junfeng Yang

CoRR, 2023

Self-Supervised Convolutional Visual Prompts.

Yun-Yun Tsai, Chengzhi Mao, Yow-Kuan Lin, Junfeng Yang

CoRR, 2023

Convolutional Visual Prompt for Robust Visual Perception.

Yun-Yun Tsai, Chengzhi Mao, Junfeng Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robust Perception through Equivariance.

Chengzhi Mao, Lingyu Zhang, Abhishek Vaibhav Joshi, Junfeng Yang, Hao Wang, Carl Vondrick

Proceedings of the International Conference on Machine Learning, 2023

Understanding Zero-shot Adversarial Robustness for Large-Scale Models.

Chengzhi Mao, Scott Geng, Junfeng Yang, Xin Wang, Carl Vondrick

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Landscape Learning for Neural Network Inversion.

Ruoshi Liu, Chengzhi Mao, Purva Tendulkar, Hao Wang, Carl Vondrick

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Doubly Right Object Recognition: A Why Prompt for Visual Rationales.

Chengzhi Mao, Revant Teotia, Amrutha Sundar, Sachit Menon, Junfeng Yang, Xin Wang, Carl Vondrick

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

What You Can Reconstruct from a Shadow.

Ruoshi Liu, Sachit Menon, Chengzhi Mao, Dennis Park, Simon Stent, Carl Vondrick

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Adversarially Robust Video Perception by Seeing Motion.

Lingyu Zhang, Chengzhi Mao, Junfeng Yang, Carl Vondrick

CoRR, 2022

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

Hao Wang, Wanyu Lin, Hao He, Di Wang, Chengzhi Mao, Muhan Zhang

CoRR, 2022

Shadows Shed Light on 3D Objects.

Ruoshi Liu, Sachit Menon, Chengzhi Mao, Dennis Park, Simon Stent, Carl Vondrick

CoRR, 2022

Using Multiple Self-Supervised Tasks Improves Model Robustness.

Matthew Lawhon, Chengzhi Mao, Junfeng Yang

CoRR, 2022

A Tale of Two Models: Constructing Evasive Attacks on Edge Models.

Wei Hao, Aahil Awatramani, Jiayang Hu, Chengzhi Mao, Pin-Chun Chen, Eyal Cidon, Asaf Cidon, Junfeng Yang

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

Discrete Representations Strengthen Vision Transformer Robustness.

Chengzhi Mao, Lu Jiang, Mostafa Dehghani, Carl Vondrick, Rahul Sukthankar, Irfan Essa

Proceedings of the Tenth International Conference on Learning Representations, 2022

Real-Time Neural Voice Camouflage.

Mia Chiquier, Chengzhi Mao, Carl Vondrick

Proceedings of the Tenth International Conference on Learning Representations, 2022

Causal Transportability for Visual Recognition.

Chengzhi Mao, Kevin Xia, James Wang, Hao Wang, Junfeng Yang, Elias Bareinboim, Carl Vondrick

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Adversarial Attacks are Reversible with Natural Supervision.

Chengzhi Mao, Mia Chiquier, Hao Wang, Junfeng Yang, Carl Vondrick

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Generative Interventions for Causal Learning.

Chengzhi Mao, Augustine Cha, Amogh Gupta, Hao Wang, Junfeng Yang, Carl Vondrick

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Multitask Learning Strengthens Adversarial Robustness.

Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick

Proceedings of the Computer Vision - ECCV 2020, 2020

Live Trojan Attacks on Deep Neural Networks.

Robby Costales, Chengzhi Mao, Raphael Norwitz, Bryan Kim, Junfeng Yang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Unrestricted Adversarial Attacks for Semantic Segmentation.

Guangyu Shen, Chengzhi Mao, Junfeng Yang, Baishakhi Ray

CoRR, 2019

Metric Learning for Adversarial Robustness.

Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, Baishakhi Ray

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.

Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

A Probabilistic Learning Approach to UWB Ranging Error Mitigation.

Chengzhi Mao, Kangbo Lin, Tiancheng Yu, Yuan Shen

Proceedings of the IEEE Global Communications Conference, 2018

2016

Deep self-organizing reservoir computing model for visual object recognition.

Zhidong Deng, Chengzhi Mao, Xiong Chen

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016