Chuan Guo

According to our database, Chuan Guo authored at least 72 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of two.

2024

DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning.

Jonathan Lebensold, Maziar Sanjabi, Pietro Astolfi, Adriana Romero-Soriano, Kamalika Chaudhuri, Mike Rabbat, Chuan Guo

CoRR, 2024

Privacy Amplification for the Gaussian Mechanism via Bounded Support.

Shengyuan Hu, Saeed Mahloujifar, Virginia Smith, Kamalika Chaudhuri, Chuan Guo

CoRR, 2024

Differentially Private Representation Learning via Image Captioning.

Tom Sander, Yaodong Yu, Maziar Sanjabi, Alain Durmus, Yi Ma, Kamalika Chaudhuri, Chuan Guo

CoRR, 2024

Déjà Vu Memorization in Vision-Language Models.

Bargav Jayaraman, Chuan Guo, Kamalika Chaudhuri

CoRR, 2024

Generative Human Motion Stylization in Latent Space.

Chuan Guo, Yuxuan Mu, Xinxin Zuo, Peng Dai, Youliang Yan, Juwei Lu, Li Cheng

CoRR, 2024

MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation.

Nhat M. Hoang, Kehong Gong, Chuan Guo, Michael Bi Mi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Human Pose and Shape Estimation From Single Polarization Images.

Shihao Zou, Xinxin Zuo, Sen Wang, Yiming Qian, Chuan Guo, Li Cheng

IEEE Trans. Multim., 2023

MoMask: Generative Masked Modeling of 3D Human Motions.

Chuan Guo, Yuxuan Mu, Muhammad Gohar Javed, Sen Wang, Li Cheng

CoRR, 2023

Large-Scale Public Data Improves Differentially Private Image Generation Quality.

Ruihan Wu, Chuan Guo, Kamalika Chaudhuri

CoRR, 2023

ViP: A Differentially Private Foundation Model for Computer Vision.

Yaodong Yu, Maziar Sanjabi, Yi Ma, Kamalika Chaudhuri, Chuan Guo

CoRR, 2023

Information Flow Control in Machine Learning through Modular Model Architecture.

Trishita Tiwari, Suchin Gururangan, Chuan Guo, Weizhe Hua, Sanjay Kariyappa, Udit Gupta, Wenjie Xiong, Kiwan Maeng, Hsien-Hsin S. Lee, G. Edward Suh

CoRR, 2023

TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration.

Kehong Gong, Dongze Lian, Heng Chang, Chuan Guo, Xinxin Zuo, Zihang Jiang, Xinchao Wang

CoRR, 2023

Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning.

Ruihan Wu, Xiangyu Chen, Chuan Guo, Kilian Q. Weinberger

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Private Prediction Strikes Back! Private Kernelized Nearest Neighbors with Individual Rényi Filter.

Yuqing Zhu, Xuandong Zhao, Chuan Guo, Yu-Xiang Wang

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning.

Casey Meehan, Florian Bordes, Pascal Vincent, Kamalika Chaudhuri, Chuan Guo

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

Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information.

Kiwan Maeng, Chuan Guo, Sanjay Kariyappa, G. Edward Suh

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

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

Proceedings of the International Conference on Machine Learning, 2023

Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano.

Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi

Proceedings of the International Conference on Machine Learning, 2023

Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design.

Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Michael G. Rabbat

Proceedings of the International Conference on Machine Learning, 2023

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

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

Does Label Differential Privacy Prevent Label Inference Attacks?

Ruihan Wu, Jin Peng Zhou, Kilian Q. Weinberger, Chuan Guo

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Origins of Low-Dimensional Adversarial Perturbations.

Elvis Dohmatob, Chuan Guo, Morgane Goibert

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Action2video: Generating Videos of Human 3D Actions.

Chuan Guo, Xinxin Zuo, Sen Wang, Xinshuang Liu, Shihao Zou, Minglun Gong, Li Cheng

Int. J. Comput. Vis., 2022

Higher-Order Complex Periodic Motions in a Nonlinear, Electromagnetically Tuned Mass Damper System.

Chuan Guo, Albert C. J. Luo

Int. J. Bifurc. Chaos, 2022

The Interpolated MVU Mechanism For Communication-efficient Private Federated Learning.

Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Mike Rabbat

CoRR, 2022

Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information.

Kiwan Maeng, Chuan Guo, Sanjay Kariyappa, G. Edward Suh

CoRR, 2022

TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts.

Chuan Guo, Xinxin Xuo, Sen Wang, Li Cheng

CoRR, 2022

Submix: Practical Private Prediction for Large-Scale Language Models.

Antonio Ginart, Laurens van der Maaten, James Zou, Chuan Guo

CoRR, 2022

Privacy-aware compression for federated data analysis.

Kamalika Chaudhuri, Chuan Guo, Mike Rabbat

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Measuring Data Leakage in Machine-Learning Models with Fisher Information (Extended Abstract).

Awni Y. Hannun, Chuan Guo, Laurens van der Maaten

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Bounding Training Data Reconstruction in Private (Deep) Learning.

Chuan Guo, Brian Karrer, Kamalika Chaudhuri, Laurens van der Maaten

Proceedings of the International Conference on Machine Learning, 2022

On the Importance of Difficulty Calibration in Membership Inference Attacks.

Lauren Watson, Chuan Guo, Graham Cormode, Alexandre Sablayrolles

Proceedings of the Tenth International Conference on Learning Representations, 2022

Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection.

Wei Ji, Jingjing Li, Qi Bi, Chuan Guo, Jie Liu, Li Cheng

Proceedings of the Tenth International Conference on Learning Representations, 2022

TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts.

Chuan Guo, Xinxin Zuo, Sen Wang, Li Cheng

Proceedings of the Computer Vision - ECCV 2022, 2022

Generating Diverse and Natural 3D Human Motions from Text.

Chuan Guo, Shihao Zou, Xinxin Zuo, Sen Wang, Wei Ji, Xingyu Li, Li Cheng

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

EIFFeL: Ensuring Integrity for Federated Learning.

Amrita Roy Chowdhury, Chuan Guo, Somesh Jha, Laurens van der Maaten

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

Research on Rapid Detection Electrochemical Sensor-Assisted Textile Art Design.

Chuan Guo

J. Sensors, 2021

Human Pose and Shape Estimation from Single Polarization Images.

Shihao Zou, Xinxin Zuo, Sen Wang, Yiming Qian, Chuan Guo, Wei Ji, Jingjing Li, Minglun Gong, Li Cheng

CoRR, 2021

Byzantine-Robust and Privacy-Preserving Framework for FedML.

Hanieh Hashemi, Yongqin Wang, Chuan Guo, Murali Annavaram

CoRR, 2021

Segmentation of the Airway Tree From Chest CT Using Tiny Atrous Convolutional Network.

Guohua Cheng, Xiaoming Wu, Wending Xiang, Chuan Guo, Hongli Ji, Linyang He

IEEE Access, 2021

Measuring data leakage in machine-learning models with Fisher information.

Awni Y. Hannun, Chuan Guo, Laurens van der Maaten

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Online Adaptation to Label Distribution Shift.

Ruihan Wu, Chuan Guo, Yi Su, Kilian Q. Weinberger

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems.

Ruihan Wu, Chuan Guo, Awni Y. Hannun, Laurens van der Maaten

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ReAct: Out-of-distribution Detection With Rectified Activations.

Yiyou Sun, Chuan Guo, Yixuan Li

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining.

Weizhe Hua, Yichi Zhang, Chuan Guo, Zhiru Zhang, G. Edward Suh

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Upper Extremity Kinematic Parameters: Reference Ranges Based on Kinect V2.

Kunkun Zhao, Chuan Guo, Haibo Bian, Jiyong Yu, Haiying Wen, Tong Wang, Zhisheng Zhang

Proceedings of the 27th International Conference on Mechatronics and Machine Vision in Practice, 2021

Making Paper Reviewing Robust to Bid Manipulation Attacks.

Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens van der Maaten, Kilian Q. Weinberger

Proceedings of the 38th International Conference on Machine Learning, 2021

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

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

Gradient-based Adversarial Attacks against Text Transformers.

Chuan Guo, Alexandre Sablayrolles, Hervé Jégou, Douwe Kiela

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Method and Realization of Multiplayer Collaborative Control oriented to the Consultation Platform.

Xinyue Miao, Chengqi Xue, Chuan Guo, Xiaozhou Zhou, Lichun Yang, Lesong Jia

Proceedings of the EITCE 2021: 5th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, October 22, 2021

2020

Threats and Countermeasures in Machine Learning Applications.

Chuan Guo

PhD thesis, 2020

TrojanNet: Embedding Hidden Trojan Horse Models in Neural Networks.

Chuan Guo, Ruihan Wu, Kilian Q. Weinberger

CoRR, 2020

Secure multiparty computations in floating-point arithmetic.

Chuan Guo, Awni Y. Hannun, Brian Knott, Laurens van der Maaten, Mark Tygert, Ruiyu Zhu

CoRR, 2020

Action2Motion: Conditioned Generation of 3D Human Motions.

Chuan Guo, Xinxin Zuo, Sen Wang, Shihao Zou, Qingyao Sun, Annan Deng, Minglun Gong, Li Cheng

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Certified Data Removal from Machine Learning Models.

Chuan Guo, Tom Goldstein, Awni Y. Hannun, Laurens van der Maaten

Proceedings of the 37th International Conference on Machine Learning, 2020

A Preliminary Analysis of the Various Reaching Pattern Classifications.

Kunkun Zhao, Zhisheng Zhang, Chuan Guo, Jiankang Wu

Proceedings of the 12th International Conference on Bioinformatics and Biomedical Technology, 2020

2019

Exploiting Emotions for Fake News Detection on Social Media.

Chuan Guo, Juan Cao, Xueyao Zhang, Kai Shu, Miao Yu

CoRR, 2019

Low Frequency Adversarial Perturbation.

Chuan Guo, Jared S. Frank, Kilian Q. Weinberger

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

A New Defense Against Adversarial Images: Turning a Weakness into a Strength.

Shengyuan Hu, Tao Yu, Chuan Guo, Wei-Lun Chao, Kilian Q. Weinberger

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces.

Chuan Guo, Ali Mousavi, Xiang Wu, Daniel Niels Holtmann-Rice, Satyen Kale, Sashank J. Reddi, Sanjiv Kumar

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Simple Black-box Adversarial Attacks.

Chuan Guo, Jacob R. Gardner, Yurong You, Andrew Gordon Wilson, Kilian Q. Weinberger

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

On the b-chromatic number of cartesian products.

Chuan Guo, Mike Newman

Discret. Appl. Math., 2018

An empirical study on evaluation metrics of generative adversarial networks.

Qiantong Xu, Gao Huang, Yang Yuan, Chuan Guo, Yu Sun, Felix Wu, Kilian Q. Weinberger

CoRR, 2018

Countering Adversarial Images using Input Transformations.

Chuan Guo, Mayank Rana, Moustapha Cissé, Laurens van der Maaten

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

A tight bound on the size of certain separating hash families.

Chuan Guo, Douglas R. Stinson

Australas. J Comb., 2017

On Calibration of Modern Neural Networks.

Chuan Guo, Geoff Pleiss, Yu Sun, Kilian Q. Weinberger

Proceedings of the 34th International Conference on Machine Learning, 2017

Discovering and Exploiting Additive Structure for Bayesian Optimization.

Jacob R. Gardner, Chuan Guo, Kilian Q. Weinberger, Roman Garnett, Roger B. Grosse

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Palindromic rich words and run-length encodings.

Chuan Guo, Jeffrey O. Shallit, Arseny M. Shur

Inf. Process. Lett., 2016

Supervised Word Mover's Distance.

Gao Huang, Chuan Guo, Matt J. Kusner, Yu Sun, Fei Sha, Kilian Q. Weinberger

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

A Coarse-to-Fine Registration Method Based on Geometric Constraints and Parallel Architecture.

Zetao Jiang, Chuan Guo, Yang Yang

J. Softw., 2015

On tight bounds for binary frameproof codes.

Chuan Guo, Douglas R. Stinson, Tran van Trung

Des. Codes Cryptogr., 2015

On the Combinatorics of Palindromes and Antipalindromes.

Chuan Guo, Jeffrey O. Shallit, Arseny M. Shur

CoRR, 2015