Chuan Guo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
43
Venues
14
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
43 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CCS | SecAlign: Defending Against Prompt Injection with Preference Optimization. | Sizhe Chen, Arman Zharmagambetov, Saeed Mahloujifar, Kamalika Chaudhuri, David A. Wagner, Chuan Guo |
| 2025 | ICCV | Scenemi: Motion In-Betweening for Modeling Human-Scene Interactions. | Inwoo Hwang, Bing Zhou, Young Min Kim, Jian Wang, Chuan Guo |
| 2025 | ICCV | Ponimator: Unfolding Interactive Pose for Versatile Human-Human Interaction Animation. | Shaowei Liu, Chuan Guo, Bing Zhou, Jian Wang |
| 2025 | ICCV | MaskControl: Spatio-Temporal Control for Masked Motion Synthesis. | Ekkasit Pinyoanuntapong, Muhammad Usama Saleem, Korrawe Karunratanakul, Pu Wang, Hongfei Xue, Chen Chen, Chuan Guo, Junli Cao, Jian Ren, Sergey Tulyakov |
| 2025 | ICLR | InterMask: 3D Human Interaction Generation via Collaborative Masked Modeling. | Muhammad Gohar Javed, Chuan Guo, Li Cheng, Xingyu Li |
| 2025 | ICLR | MotionDreamer: One-to-Many Motion Synthesis with Localized Generative Masked Transformer. | Yilin Wang, Chuan Guo, Yuxuan Mu, Muhammad Gohar Javed, Xinxin Zuo, Juwei Lu, Hai Jiang, Li Cheng |
| 2025 | ICML | AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs. | Anselm Paulus, Arman Zharmagambetov, Chuan Guo, Brandon Amos, Yuandong Tian |
| 2025 | SIGGRAPH | DuetGen: Music Driven Two-Person Dance Generation via Hierarchical Masked Modeling. | Anindita Ghosh, Bing Zhou, Rishabh Dabral, Jian Wang, Vladislav Golyanik, Christian Theobalt, Philipp Slusallek, Chuan Guo |
| 2025 | SP | Machine Learning with Privacy for Protected Attributes. | Saeed Mahloujifar, Chuan Guo, G. Edward Suh, Kamalika Chaudhuri |
| 2025 | SiggraphA | Sketch2PoseNet: Efficient and Generalized Sketch to 3D Human Pose Prediction. | Li Wang, Yiyu Zhuang, Yanwen Wang, Xun Cao, Chuan Guo, Xinxin Zuo, Hao Zhu |
| 2024 | AAAI | MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation. | Nhat M. Hoang, Kehong Gong, Chuan Guo, Michael Bi Mi |
| 2024 | CVPR | MoMask: Generative Masked Modeling of 3D Human Motions. | Chuan Guo, Yuxuan Mu, Muhammad Gohar Javed, Sen Wang, Li Cheng |
| 2024 | ECCV | GSD: View-Guided Gaussian Splatting Diffusion for 3D Reconstruction. | Yuxuan Mu, Xinxin Zuo, Chuan Guo, Yilin Wang, Juwei Lu, Xiaofeng Wu, Songcen Xu, Peng Dai, Youliang Yan, Li Cheng |
| 2024 | ECCV | RegionGrasp: A Novel Task for Contact Region Controllable Hand Grasp Generation. | Yilin Wang, Chuan Guo, Li Cheng, Hai Jiang |
| 2024 | ICLR | Generative Human Motion Stylization in Latent Space. | Chuan Guo, Yuxuan Mu, Xinxin Zuo, Peng Dai, Youliang Yan, Juwei Lu, Li Cheng |
| 2024 | ICML | Differentially Private Representation Learning via Image Captioning. | Tom Sander, Yaodong Yu, Maziar Sanjabi, Alain Oliviero Durmus, Yi Ma, Kamalika Chaudhuri, Chuan Guo |
| 2024 | ICML | ViP: A Differentially Private Foundation Model for Computer Vision. | Yaodong Yu, Maziar Sanjabi, Yi Ma, Kamalika Chaudhuri, Chuan Guo |
| 2023 | AISTATS | Origins of Low-Dimensional Adversarial Perturbations. | Elvis Dohmatob, Chuan Guo, Morgane Goibert |
| 2023 | AISTATS | Does Label Differential Privacy Prevent Label Inference Attacks? | Ruihan Wu, Jin Peng Zhou, Kilian Q. Weinberger, Chuan Guo |
| 2023 | ICCV | TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration. | Kehong Gong, Dongze Lian, Heng Chang, Chuan Guo, Zihang Jiang, Xinxin Zuo, Michael Bi Mi, Xinchao Wang |
| 2023 | ICML | Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design. | Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Michael G. Rabbat |
| 2023 | ICML | Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano. | Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi |
| 2023 | ICML | Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis. | Sanjay Kariyappa, Chuan Guo, Kiwan Maeng, Wenjie Xiong, G. Edward Suh, Moinuddin K. Qureshi, Hsien-Hsin S. Lee |
| 2023 | UAI | Private Prediction Strikes Back! Private Kernelized Nearest Neighbors with Individual Rnyi Filter. | Yuqing Zhu, Xuandong Zhao, Chuan Guo, Yu-Xiang Wang |
| 2023 | UAI | Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning. | Ruihan Wu, Xiangyu Chen, Chuan Guo, Kilian Q. Weinberger |
| 2022 | CCS | EIFFeL: Ensuring Integrity for Federated Learning. | Amrita Roy Chowdhury, Chuan Guo, Somesh Jha, Laurens van der Maaten |
| 2022 | CVPR | Generating Diverse and Natural 3D Human Motions from Text. | Chuan Guo, Shihao Zou, Xinxin Zuo, Sen Wang, Wei Ji, Xingyu Li, Li Cheng |
| 2022 | ECCV | TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts. | Chuan Guo, Xinxin Zuo, Sen Wang, Li Cheng |
| 2022 | ICLR | Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection. | Wei Ji, Jingjing Li, Qi Bi, Chuan Guo, Jie Liu, Li Cheng |
| 2022 | ICLR | On the Importance of Difficulty Calibration in Membership Inference Attacks. | Lauren Watson, Chuan Guo, Graham Cormode, Alexandre Sablayrolles |
| 2022 | ICML | Bounding Training Data Reconstruction in Private (Deep) Learning. | Chuan Guo, Brian Karrer, Kamalika Chaudhuri, Laurens van der Maaten |
| 2022 | IJCAI | Measuring Data Leakage in Machine-Learning Models with Fisher Information (Extended Abstract). | Awni Y. Hannun, Chuan Guo, Laurens van der Maaten |
| 2022 | UAI | Privacy-aware compression for federated data analysis. | Kamalika Chaudhuri, Chuan Guo, Mike Rabbat |
| 2021 | EMNLP | Gradient-based Adversarial Attacks against Text Transformers. | Chuan Guo, Alexandre Sablayrolles, Herv Jgou, Douwe Kiela |
| 2021 | ICCV | EventHPE: Event-based 3D Human Pose and Shape Estimation. | Shihao Zou, Chuan Guo, Xinxin Zuo, Sen Wang, Pengyu Wang, Xiaoqin Hu, Shoushun Chen, Minglun Gong, Li Cheng |
| 2021 | ICML | Making Paper Reviewing Robust to Bid Manipulation Attacks. | Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens van der Maaten, Kilian Q. Weinberger |
| 2021 | UAI | Measuring data leakage in machine-learning models with Fisher information. | Awni Y. Hannun, Chuan Guo, Laurens van der Maaten |
| 2020 | ICML | Certified Data Removal from Machine Learning Models. | Chuan Guo, Tom Goldstein, Awni Y. Hannun, Laurens van der Maaten |
| 2019 | ICML | Simple Black-box Adversarial Attacks. | Chuan Guo, Jacob R. Gardner, Yurong You, Andrew Gordon Wilson, Kilian Q. Weinberger |
| 2019 | UAI | Low Frequency Adversarial Perturbation. | Chuan Guo, Jared S. Frank, Kilian Q. Weinberger |
| 2018 | ICLR | Countering Adversarial Images using Input Transformations. | Chuan Guo, Mayank Rana, Moustapha Ciss, Laurens van der Maaten |
| 2017 | AISTATS | Discovering and Exploiting Additive Structure for Bayesian Optimization. | Jacob R. Gardner, Chuan Guo, Kilian Q. Weinberger, Roman Garnett, Roger B. Grosse |
| 2017 | ICML | On Calibration of Modern Neural Networks. | Chuan Guo, Geoff Pleiss, Yu Sun, Kilian Q. Weinberger |