Deep self-organizing reservoir computing model for visual object recognition. - Zhidong Deng; Chengzhi Mao; Xiong Chen (IJCNN, 2016)

A Probabilistic Learning Approach to UWB Ranging Error Mitigation. - Chengzhi Mao; Kangbo Lin; Tiancheng Yu; Yuan Shen 001 (GLOBECOM, 2018)

Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling. - Hao Wang 014; Chengzhi Mao; Hao He 011; Mingmin Zhao; Tommi S. Jaakkola; Dina Katabi (AAAI, 2019)

Metric Learning for Adversarial Robustness. - Chengzhi Mao; Ziyuan Zhong; Junfeng Yang; Carl Vondrick; Baishakhi Ray (NeurIPS, 2019)

Unrestricted Adversarial Attacks for Semantic Segmentation. - Guangyu Shen; Chengzhi Mao; Junfeng Yang; Baishakhi Ray (CoRR, 2019)

Live Trojan Attacks on Deep Neural Networks. - Robby Costales; Chengzhi Mao; Raphael Norwitz; Bryan Kim; Junfeng Yang (CVPR Workshops, 2020)

Multitask Learning Strengthens Adversarial Robustness. - Chengzhi Mao; Amogh Gupta; Vikram Nitin; Baishakhi Ray; Shuran Song; Junfeng Yang; Carl Vondrick (ECCV (2), 2020)

Generative Interventions for Causal Learning. - Chengzhi Mao; Augustine Cha; Amogh Gupta; Hao Wang 014; Junfeng Yang; Carl Vondrick (CVPR, 2021)

Adversarial Attacks are Reversible with Natural Supervision. - Chengzhi Mao; Mia Chiquier; Hao Wang 014; Junfeng Yang; Carl Vondrick (ICCV, 2021)

Causal Transportability for Visual Recognition. - Chengzhi Mao; Kevin Xia 001; James Wang; Hao Wang 014; Junfeng Yang; Elias Bareinboim; Carl Vondrick (CVPR, 2022)

Real-Time Neural Voice Camouflage. - Mia Chiquier; Chengzhi Mao; Carl Vondrick (ICLR, 2022)

Discrete Representations Strengthen Vision Transformer Robustness. - Chengzhi Mao; Lu Jiang 004; Mostafa Dehghani 001; Carl Vondrick; Rahul Sukthankar; Irfan Essa (ICLR, 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 (MLSys, 2022)

Using Multiple Self-Supervised Tasks Improves Model Robustness. - Matthew Lawhon; Chengzhi Mao; Junfeng Yang (CoRR, 2022)

Shadows Shed Light on 3D Objects. - Ruoshi Liu; Sachit Menon; Chengzhi Mao; Dennis Park; Simon Stent; Carl Vondrick (CoRR, 2022)

1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^2Struct). - Hao Wang 014; Wanyu Lin; Hao He 011; Di Wang 015; Chengzhi Mao; Muhan Zhang (CoRR, 2022)

Adversarially Robust Video Perception by Seeing Motion. - Lingyu Zhang; Chengzhi Mao; Junfeng Yang; Carl Vondrick (CoRR, 2022)

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

Doubly Right Object Recognition: A Why Prompt for Visual Rationales. - Chengzhi Mao; Revant Teotia; Amrutha Sundar; Sachit Menon; Junfeng Yang; Xin Wang 066; Carl Vondrick (CVPR, 2023)

Landscape Learning for Neural Network Inversion. - Ruoshi Liu; Chengzhi Mao; Purva Tendulkar; Hao Wang 014; Carl Vondrick (ICCV, 2023)

Understanding Zero-shot Adversarial Robustness for Large-Scale Models. - Chengzhi Mao; Scott Geng; Junfeng Yang; Xin Wang 066; Carl Vondrick (ICLR, 2023)

Robust Perception through Equivariance. - Chengzhi Mao; Lingyu Zhang; Abhishek Vaibhav Joshi; Junfeng Yang; Hao Wang 014; Carl Vondrick (ICML, 2023)

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

Self-Supervised Convolutional Visual Prompts. - Yun-Yun Tsai; Chengzhi Mao; Yow-Kuan Lin; Junfeng Yang (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 004; Junfeng Yang (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)

Interpreting and Controlling Vision Foundation Models via Text Explanations. - Haozhe Chen; Junfeng Yang; Carl Vondrick; Chengzhi Mao (CoRR, 2023)

Robustifying Language Models with Test-Time Adaptation. - Noah Thomas McDermott; Junfeng Yang; Chengzhi Mao (CoRR, 2023)

Robust Machine Learning by Integrating Context - Chengzhi Mao (2023)

ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object. - Chenshuang Zhang; Fei Pan; Junmo Kim 002; In So Kweon; Chengzhi Mao (CVPR, 2024)

RAFT: Realistic Attacks to Fool Text Detectors. - James Wang; Ran Li; Junfeng Yang; Chengzhi Mao (EMNLP, 2024)

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

Raidar: geneRative AI Detection viA Rewriting. - Chengzhi Mao; Carl Vondrick; Hao Wang 014; Junfeng Yang (ICLR, 2024)

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

Towards Causal Deep Learning for Vulnerability Detection. - Md Mahbubur Rahman; Ira Ceka; Chengzhi Mao; Saikat Chakraborty; Baishakhi Ray; Wei Le (ICSE, 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)

SPIN: Self-Supervised Prompt INjection. - Leon Zhou; Junfeng Yang; Chengzhi Mao (CoRR, 2024)

Diversity Helps Jailbreak Large Language Models. - Weiliang Zhao; Daniel Ben-Levi; Junfeng Yang; Chengzhi Mao (CoRR, 2024)

Matrix Factorization Recommendation Algorithm Based on Attention Interaction. - Chengzhi Mao; Zhifeng Wu; Yingjie Liu; Zhiwei Shi (Symmetry, 2024)

Learning to Rewrite: Generalized LLM-Generated Text Detection. - Wei Hao; Ran Li; Weiliang Zhao; Junfeng Yang; Chengzhi Mao (ACL (1), 2025)

Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race. - Lihao Sun; Chengzhi Mao; Valentin Hofmann; Xuechunzi Bai (ACL (1), 2025)

Nazar: Monitoring and Adapting ML Models on Mobile Devices. - Wei Hao; Zixi Wang; Lauren Hong; Lingxiao Li; Nader Karayanni; AnMei Dasbach-Prisk; Chengzhi Mao; Junfeng Yang; Asaf Cidon (ASPLOS (1), 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 (ICLR, 2025)

Diversity Helps Jailbreak Large Language Models. - Weiliang Zhao; Daniel Ben-Levi; Wei Hao; Junfeng Yang; Chengzhi Mao (NAACL (Long Papers), 2025)

ML-JET: A Benchmark Dataset for Classifying Heavy Ion Collisions. - Haydar Mehryar; Chengzhi Mao; Loren Schwiebert (WACV (Workshops), 2025)

LAVID: An Agentic LVLM Framework for Diffusion-Generated Video Detection. - Qingyuan Liu; Yun-Yun Tsai; Ruijian Zha; Victoria Li; Pengyuan Shi; Chengzhi Mao; Junfeng Yang (CoRR, 2025)

EditLord: Learning Code Transformation Rules for Code Editing. - Weichen Li; Albert Jan; Baishakhi Ray; Chengzhi Mao; Junfeng Yang; Kexin Pei (CoRR, 2025)

LARGO: Latent Adversarial Reflection through Gradient Optimization for Jailbreaking LLMs. - Ran Li; Hao Wang; Chengzhi Mao (CoRR, 2025)