Chuan Guo

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 104

Top Venues

Publications

Yuxuan Mu, Xinxin Zuo, Chuan Guo, Yilin Wang, Juwei Lu, Xiaofeng Wu, Songcen Xu, Peng Dai, Youliang Yan, Li Cheng
GSD: View-Guided Gaussian Splatting Diffusion for 3D Reconstruction. CoRR (2024)
Nhat M. Hoang, Kehong Gong, Chuan Guo, Michael Bi Mi
MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation. CoRR (2024)
Jonathan Lebensold, Maziar Sanjabi, Pietro Astolfi, Adriana Romero-Soriano, Kamalika Chaudhuri, Mike Rabbat, Chuan Guo
DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning. CoRR (2024)
Chuan Guo, Yuxuan Mu, Xinxin Zuo, Peng Dai, Youliang Yan, Juwei Lu, Li Cheng
Generative Human Motion Stylization in Latent Space. ICLR (2024)
Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay, Alexander C. Li, Adrien Bardes, Suzanne Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Xiaoqing Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra
An Introduction to Vision-Language Modeling. CoRR (2024)
Bargav Jayaraman, Chuan Guo, Kamalika Chaudhuri
Déjà Vu Memorization in Vision-Language Models. CoRR (2024)
Kamalika Chaudhuri, Chuan Guo, Laurens van der Maaten, Saeed Mahloujifar, Mark Tygert
Guarantees of confidentiality via Hammersley-Chapman-Robbins bounds. CoRR (2024)
Tom Sander, Yaodong Yu, Maziar Sanjabi, Alain Durmus, Yi Ma, Kamalika Chaudhuri, Chuan Guo
Differentially Private Representation Learning via Image Captioning. CoRR (2024)
Shengyuan Hu, Saeed Mahloujifar, Virginia Smith, Kamalika Chaudhuri, Chuan Guo
Privacy Amplification for the Gaussian Mechanism via Bounded Support. CoRR (2024)
Chuan Guo, Yuxuan Mu, Xinxin Zuo, Peng Dai, Youliang Yan, Juwei Lu, Li Cheng
Generative Human Motion Stylization in Latent Space. CoRR (2024)
Trishita Tiwari, Suchin Gururangan, Chuan Guo, Weizhe Hua, Sanjay Kariyappa, Udit Gupta, Wenjie Xiong, Kiwan Maeng, Hsien-Hsin S. Lee, G. Edward Suh
Information Flow Control in Machine Learning through Modular Model Architecture. USENIX Security Symposium (2024)
Anselm Paulus, Arman Zharmagambetov, Chuan Guo, Brandon Amos, Yuandong Tian
AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs. CoRR (2024)
Nhat M. Hoang, Kehong Gong, Chuan Guo, Michael Bi Mi
MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation. AAAI (2024)
Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Michael G. Rabbat
Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design. ICML (2023)
Casey Meehan, Florian Bordes, Pascal Vincent, Kamalika Chaudhuri, Chuan Guo
Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning. CoRR (2023)
Yaodong Yu, Maziar Sanjabi, Yi Ma, Kamalika Chaudhuri, Chuan Guo
ViP: A Differentially Private Foundation Model for Computer Vision. CoRR (2023)
Kiwan Maeng, Chuan Guo, Sanjay Kariyappa, G. Edward Suh
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information. NeurIPS (2023)
Elvis Dohmatob, Chuan Guo, Morgane Goibert
Origins of Low-Dimensional Adversarial Perturbations. AISTATS (2023)
Kehong Gong, Dongze Lian, Heng Chang, Chuan Guo, Xinxin Zuo, Zihang Jiang, Xinchao Wang
TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration. CoRR (2023)
Yuqing Zhu, Xuandong Zhao, Chuan Guo, Yu-Xiang Wang
Private Prediction Strikes Back! Private Kernelized Nearest Neighbors with Individual Rényi Filter. UAI (2023)
Sanjay Kariyappa, Chuan Guo, Kiwan Maeng, Wenjie Xiong, G. Edward Suh, Moinuddin K. Qureshi, Hsien-Hsin S. Lee
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis. ICML (2023)
Kiwan Maeng, Chuan Guo, Sanjay Kariyappa, G. Edward Suh
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information. CoRR (2023)
Casey Meehan, Florian Bordes, Pascal Vincent, Kamalika Chaudhuri, Chuan Guo
Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning. NeurIPS (2023)
Trishita Tiwari, Suchin Gururangan, Chuan Guo, Weizhe Hua, Sanjay Kariyappa, Udit Gupta, Wenjie Xiong, Kiwan Maeng, Hsien-Hsin S. Lee, G. Edward Suh
Information Flow Control in Machine Learning through Modular Model Architecture. CoRR (2023)
Shihao Zou, Xinxin Zuo, Sen Wang, Yiming Qian, Chuan Guo, Li Cheng
Human Pose and Shape Estimation From Single Polarization Images. IEEE Trans. Multim. 25 (2023)
Yuqing Zhu, Xuandong Zhao, Chuan Guo, Yu-Xiang Wang
"Private Prediction Strikes Back!" Private Kernelized Nearest Neighbors with Individual Renyi Filter. CoRR (2023)
Ruihan Wu, Jin Peng Zhou, Kilian Q. Weinberger, Chuan Guo
Does Label Differential Privacy Prevent Label Inference Attacks? AISTATS (2023)
Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano. ICML (2023)
Ruihan Wu, Xiangyu Chen, Chuan Guo, Kilian Q. Weinberger
Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning. UAI (2023)
Ruihan Wu, Chuan Guo, Kamalika Chaudhuri
Large-Scale Public Data Improves Differentially Private Image Generation Quality. CoRR (2023)
Kehong Gong, Dongze Lian, Heng Chang, Chuan Guo, Zihang Jiang, Xinxin Zuo, Michael Bi Mi, Xinchao Wang
TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration. ICCV (2023)
Chuan Guo, Yuxuan Mu, Muhammad Gohar Javed, Sen Wang, Li Cheng
MoMask: Generative Masked Modeling of 3D Human Motions. CoRR (2023)
Kamalika Chaudhuri, Chuan Guo, Mike Rabbat
Privacy-aware compression for federated data analysis. UAI (2022)
Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano. CoRR (2022)
Chuan Guo, Xinxin Zuo, Sen Wang, Xinshuang Liu, Shihao Zou, Minglun Gong, Li Cheng
Action2video: Generating Videos of Human 3D Actions. Int. J. Comput. Vis. 130 (2) (2022)
Amrita Roy Chowdhury, Chuan Guo, Somesh Jha, Laurens van der Maaten
EIFFeL: Ensuring Integrity for Federated Learning. CCS (2022)
Chuan Guo, Albert C. J. Luo
Higher-Order Complex Periodic Motions in a Nonlinear, Electromagnetically Tuned Mass Damper System. Int. J. Bifurc. Chaos 32 (11) (2022)
Sanjay Kariyappa, Chuan Guo, Kiwan Maeng, Wenjie Xiong, G. Edward Suh, Moinuddin K. Qureshi, Hsien-Hsin S. Lee
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning using Independent Component Analysis. CoRR (2022)
Awni Y. Hannun, Chuan Guo, Laurens van der Maaten
Measuring Data Leakage in Machine-Learning Models with Fisher Information (Extended Abstract). IJCAI (2022)
Antonio Ginart, Laurens van der Maaten, James Zou, Chuan Guo
Submix: Practical Private Prediction for Large-Scale Language Models. CoRR (2022)
Chuan Guo, Xinxin Zuo, Sen Wang, Li Cheng
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts. ECCV (35) (2022)
Chuan Guo, Shihao Zou, Xinxin Zuo, Sen Wang, Wei Ji, Xingyu Li, Li Cheng
Generating Diverse and Natural 3D Human Motions from Text. CVPR (2022)
Chuan Guo, Brian Karrer, Kamalika Chaudhuri, Laurens van der Maaten
Bounding Training Data Reconstruction in Private (Deep) Learning. ICML (2022)
Kamalika Chaudhuri, Chuan Guo, Mike Rabbat
Privacy-Aware Compression for Federated Data Analysis. CoRR (2022)
Ruihan Wu, Xiangyu Chen, Chuan Guo, Kilian Q. Weinberger
Learning to Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning. CoRR (2022)
Chuan Guo, Brian Karrer, Kamalika Chaudhuri, Laurens van der Maaten
Bounding Training Data Reconstruction in Private (Deep) Learning. CoRR (2022)
Kiwan Maeng, Chuan Guo, Sanjay Kariyappa, G. Edward Suh
Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information. CoRR (2022)
Chuan Guo, Xinxin Xuo, Sen Wang, Li Cheng
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts. CoRR (2022)
Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Mike Rabbat
The Interpolated MVU Mechanism For Communication-efficient Private Federated Learning. CoRR (2022)
Elvis Dohmatob, Chuan Guo, Morgane Goibert
Origins of Low-dimensional Adversarial Perturbations. CoRR (2022)
Ruihan Wu, Jin Peng Zhou, Kilian Q. Weinberger, Chuan Guo
Does Label Differential Privacy Prevent Label Inference Attacks? CoRR (2022)
Lauren Watson, Chuan Guo, Graham Cormode, Alexandre Sablayrolles
On the Importance of Difficulty Calibration in Membership Inference Attacks. ICLR (2022)
Wei Ji, Jingjing Li, Qi Bi, Chuan Guo, Jie Liu, Li Cheng
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection. CoRR (2022)
Wei Ji, Jingjing Li, Qi Bi, Chuan Guo, Jie Liu, Li Cheng
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection. ICLR (2022)
Shihao Zou, Xinxin Zuo, Sen Wang, Yiming Qian, Chuan Guo, Wei Ji, Jingjing Li, Minglun Gong, Li Cheng
Human Pose and Shape Estimation from Single Polarization Images. CoRR (2021)
Ruihan Wu, Chuan Guo, Yi Su, Kilian Q. Weinberger
Online Adaptation to Label Distribution Shift. CoRR (2021)
Weizhe Hua, Yichi Zhang, Chuan Guo, Zhiru Zhang, G. Edward Suh
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining. CoRR (2021)
Amrita Roy Chowdhury, Chuan Guo, Somesh Jha, Laurens van der Maaten
EIFFeL: Ensuring Integrity for Federated Learning. CoRR (2021)
Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens van der Maaten, Kilian Q. Weinberger
Making Paper Reviewing Robust to Bid Manipulation Attacks. CoRR (2021)
Guohua Cheng, Xiaoming Wu, Wending Xiang, Chuan Guo, Hongli Ji, Linyang He
Segmentation of the Airway Tree From Chest CT Using Tiny Atrous Convolutional Network. IEEE Access 9 (2021)
Yiyou Sun, Chuan Guo, Yixuan Li
ReAct: Out-of-distribution Detection With Rectified Activations. CoRR (2021)
Yiyou Sun, Chuan Guo, Yixuan Li
ReAct: Out-of-distribution Detection With Rectified Activations. NeurIPS (2021)
Awni Y. Hannun, Chuan Guo, Laurens van der Maaten
Measuring data leakage in machine-learning models with Fisher information. UAI (2021)
Ruihan Wu, Chuan Guo, Awni Y. Hannun, Laurens van der Maaten
Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems. CoRR (2021)
Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens van der Maaten, Kilian Q. Weinberger
Making Paper Reviewing Robust to Bid Manipulation Attacks. ICML (2021)
Ruihan Wu, Chuan Guo, Yi Su, Kilian Q. Weinberger
Online Adaptation to Label Distribution Shift. NeurIPS (2021)
Shihao Zou, Chuan Guo, Xinxin Zuo, Sen Wang, Pengyu Wang, Xiaoqin Hu, Shoushun Chen, Minglun Gong, Li Cheng
EventHPE: Event-based 3D Human Pose and Shape Estimation. CoRR (2021)
Kunkun Zhao, Chuan Guo, Haibo Bian, Jiyong Yu, Haiying Wen, Tong Wang, Zhisheng Zhang
Upper Extremity Kinematic Parameters: Reference Ranges Based on Kinect V2. M2VIP (2021)
Xinyue Miao, Chengqi Xue, Chuan Guo, Xiaozhou Zhou, Lichun Yang, Lesong Jia
Method and Realization of Multiplayer Collaborative Control oriented to the Consultation Platform. EITCE (2021)
Chuan Guo
Research on Rapid Detection Electrochemical Sensor-Assisted Textile Art Design. J. Sensors 2021 (2021)
Chuan Guo, Alexandre Sablayrolles, Hervé Jégou, Douwe Kiela
Gradient-based Adversarial Attacks against Text Transformers. EMNLP (1) (2021)
Chuan Guo, Alexandre Sablayrolles, Hervé Jégou, Douwe Kiela
Gradient-based Adversarial Attacks against Text Transformers. CoRR (2021)
Awni Y. Hannun, Chuan Guo, Laurens van der Maaten
Measuring Data Leakage in Machine-Learning Models with Fisher Information. CoRR (2021)
Hanieh Hashemi, Yongqin Wang, Chuan Guo, Murali Annavaram
Byzantine-Robust and Privacy-Preserving Framework for FedML. CoRR (2021)
Chuan Guo, Xinxin Zuo, Sen Wang, Xinshuang Liu, Shihao Zou, Minglun Gong, Li Cheng
Action2video: Generating Videos of Human 3D Actions. CoRR (2021)
Shihao Zou, Chuan Guo, Xinxin Zuo, Sen Wang, Pengyu Wang, Xiaoqin Hu, Shoushun Chen, Minglun Gong, Li Cheng
EventHPE: Event-based 3D Human Pose and Shape Estimation. ICCV (2021)
Weizhe Hua, Yichi Zhang, Chuan Guo, Zhiru Zhang, G. Edward Suh
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining. NeurIPS (2021)
Lauren Watson, Chuan Guo, Graham Cormode, Alexandre Sablayrolles
On the Importance of Difficulty Calibration in Membership Inference Attacks. CoRR (2021)
Ruihan Wu, Chuan Guo, Awni Y. Hannun, Laurens van der Maaten
Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems. NeurIPS (2021)
Chuan Guo, Tom Goldstein, Awni Y. Hannun, Laurens van der Maaten
Certified Data Removal from Machine Learning Models. ICML (2020)
Kunkun Zhao, Zhisheng Zhang, Chuan Guo, Jiankang Wu
A Preliminary Analysis of the Various Reaching Pattern Classifications. ICBBT (2020)
Chuan Guo, Xinxin Zuo, Sen Wang, Shihao Zou, Qingyao Sun, Annan Deng, Minglun Gong, Li Cheng
Action2Motion: Conditioned Generation of 3D Human Motions. CoRR (2020)
Chuan Guo, Awni Y. Hannun, Brian Knott, Laurens van der Maaten, Mark Tygert, Ruiyu Zhu
Secure multiparty computations in floating-point arithmetic. CoRR (2020)
Chuan Guo, Ruihan Wu, Kilian Q. Weinberger
TrojanNet: Embedding Hidden Trojan Horse Models in Neural Networks. CoRR (2020)
Chuan Guo, Xinxin Zuo, Sen Wang, Shihao Zou, Qingyao Sun, Annan Deng, Minglun Gong, Li Cheng
Action2Motion: Conditioned Generation of 3D Human Motions. ACM Multimedia (2020)
Shengyuan Hu, Tao Yu, Chuan Guo, Wei-Lun Chao, Kilian Q. Weinberger
A New Defense Against Adversarial Images: Turning a Weakness into a Strength. NeurIPS (2019)
Chuan Guo, Jared S. Frank, Kilian Q. Weinberger
Low Frequency Adversarial Perturbation. UAI (2019)
Chuan Guo, Jacob R. Gardner, Yurong You, Andrew Gordon Wilson, Kilian Q. Weinberger
Simple Black-box Adversarial Attacks. CoRR (2019)
Chuan Guo, Jacob R. Gardner, Yurong You, Andrew Gordon Wilson, Kilian Q. Weinberger
Simple Black-box Adversarial Attacks. ICML (2019)
Chuan Guo, Tom Goldstein, Awni Y. Hannun, Laurens van der Maaten
Certified Data Removal from Machine Learning Models. CoRR (2019)
Tao Yu, Shengyuan Hu, Chuan Guo, Wei-Lun Chao, Kilian Q. Weinberger
A New Defense Against Adversarial Images: Turning a Weakness into a Strength. CoRR (2019)
Chuan Guo, Ali Mousavi, Xiang Wu, Daniel Niels Holtmann-Rice, Satyen Kale, Sashank J. Reddi, Sanjiv Kumar
Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces. NeurIPS (2019)
Chuan Guo, Juan Cao, Xueyao Zhang, Kai Shu, Miao Yu
Exploiting Emotions for Fake News Detection on Social Media. CoRR (2019)
Chuan Guo, Jared S. Frank, Kilian Q. Weinberger
Low Frequency Adversarial Perturbation. CoRR (2018)
Chuan Guo, Mike Newman
On the b-chromatic number of cartesian products. Discret. Appl. Math. 239 (2018)
Qiantong Xu, Gao Huang, Yang Yuan, Chuan Guo, Yu Sun, Felix Wu, Kilian Q. Weinberger
An empirical study on evaluation metrics of generative adversarial networks. CoRR (2018)
Chuan Guo, Mayank Rana, Moustapha Cissé, Laurens van der Maaten
Countering Adversarial Images using Input Transformations. ICLR (Poster) (2018)
Chuan Guo, Douglas R. Stinson
A tight bound on the size of certain separating hash families. Australas. J Comb. 67 (2017)
Jacob R. Gardner, Chuan Guo, Kilian Q. Weinberger, Roman Garnett, Roger B. Grosse
Discovering and Exploiting Additive Structure for Bayesian Optimization. AISTATS (2017)
Chuan Guo, Mayank Rana, Moustapha Cissé, Laurens van der Maaten
Countering Adversarial Images using Input Transformations. CoRR (2017)

Chuan Guo.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Chuan Guo