Mao, Chengzhi

27 publications

ICML 2025 EditLord: Learning Code Transformation Rules for Code Editing Weichen Li, Albert Jan, Baishakhi Ray, Junfeng Yang, Chengzhi Mao, Kexin Pei

ICLR 2025 I Can Hear You: Selective Robust Training for Deepfake Audio Detection Zirui Zhang, Wei Hao, Aroon Sankoh, William Lin, Emanuel Mendiola-Ortiz, Junfeng Yang, Chengzhi Mao

NeurIPS 2025 LARGO: Latent Adversarial Reflection Through Gradient Optimization for Jailbreaking LLMs Ran Li, Hao Wang, Chengzhi Mao

NeurIPS 2025 Video Diffusion Models Excel at Tracking Similar-Looking Objects Without Supervision Chenshuang Zhang, Kang Zhang, Joon Son Chung, In So Kweon, Junmo Kim, Chengzhi Mao

ICLR 2024 INViTE: INterpret and Control Vision-Language Models with Text Explanations Haozhe Chen, Junfeng Yang, Carl Vondrick, Chengzhi Mao

CVPR 2024 ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object Chenshuang Zhang, Fei Pan, Junmo Kim, In So Kweon, Chengzhi Mao

ICLR 2024 Raidar: geneRative AI Detection via Rewriting Chengzhi Mao, Carl Vondrick, Hao Wang, Junfeng Yang

ICML 2024 SelfIE: Self-Interpretation of Large Language Model Embeddings Haozhe Chen, Carl Vondrick, Chengzhi Mao

NeurIPS 2023 Convolutional Visual Prompt for Robust Visual Perception Yun-Yun Tsai, Chengzhi Mao, Junfeng Yang

CVPR 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

ICCV 2023 Landscape Learning for Neural Network Inversion Ruoshi Liu, Chengzhi Mao, Purva Tendulkar, Hao Wang, Carl Vondrick

ICML 2023 Robust Perception Through Equivariance Chengzhi Mao, Lingyu Zhang, Abhishek Vaibhav Joshi, Junfeng Yang, Hao Wang, Carl Vondrick

ICLRW 2023 Robustifying Language Models with Test-Time Adaptation Noah Thomas McDermott, Junfeng Yang, Chengzhi Mao

ICLR 2023 Understanding Zero-Shot Adversarial Robustness for Large-Scale Models Chengzhi Mao, Scott Geng, Junfeng Yang, Xin Wang, Carl Vondrick

CVPR 2023 What You Can Reconstruct from a Shadow Ruoshi Liu, Sachit Menon, Chengzhi Mao, Dennis Park, Simon Stent, Carl Vondrick

CVPR 2022 Causal Transportability for Visual Recognition Chengzhi Mao, Kevin Xia, James Wang, Hao Wang, Junfeng Yang, Elias Bareinboim, Carl Vondrick

ICLR 2022 Discrete Representations Strengthen Vision Transformer Robustness Chengzhi Mao, Lu Jiang, Mostafa Dehghani, Carl Vondrick, Rahul Sukthankar, Irfan Essa

ICMLW 2022 Doubly Right Object Recognition Revant Teotia, Chengzhi Mao, Carl Vondrick

ICMLW 2022 Finding Spuriously Correlated Visual Attributes Revant Teotia, Chengzhi Mao, Carl Vondrick

ICLR 2022 Real-Time Neural Voice Camouflage Mia Chiquier, Chengzhi Mao, Carl Vondrick

ICLRW 2022 Using Mutliple Self-Supervised Tasks Improves Model Robustness Matthew Lawhon, Chengzhi Mao, Junfeng Yang

ICCV 2021 Adversarial Attacks Are Reversible with Natural Supervision Chengzhi Mao, Mia Chiquier, Hao Wang, Junfeng Yang, Carl Vondrick

CVPR 2021 Generative Interventions for Causal Learning Chengzhi Mao, Augustine Cha, Amogh Gupta, Hao Wang, Junfeng Yang, Carl Vondrick

CVPRW 2020 Live Trojan Attacks on Deep Neural Networks Robby Costales, Chengzhi Mao, Raphael Norwitz, Bryan Kim, Junfeng Yang

ECCV 2020 Multitask Learning Strengthens Adversarial Robustness Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick

AAAI 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

NeurIPS 2019 Metric Learning for Adversarial Robustness Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, Baishakhi Ray