On the Combinatorics of Palindromes and Antipalindromes. - Chuan Guo; Jeffrey O. Shallit; Arseny M. Shur (CoRR, 2015)

On tight bounds for binary frameproof codes. - Chuan Guo; Douglas R. Stinson; Tran van Trung (Des. Codes Cryptogr., 2015)

A Coarse-to-Fine Registration Method Based on Geometric Constraints and Parallel Architecture. - Zetao Jiang; Chuan Guo; Yang Yang (J. Softw., 2015)

Supervised Word Mover's Distance. - Gao Huang; Chuan Guo; Matt J. Kusner; Yu Sun 020; Fei Sha; Kilian Q. Weinberger (NIPS, 2016)

Palindromic rich words and run-length encodings. - Chuan Guo; Jeffrey O. Shallit; Arseny M. Shur (Inf. Process. Lett., 2016)

Discovering and Exploiting Additive Structure for Bayesian Optimization. - Jacob R. Gardner; Chuan Guo; Kilian Q. Weinberger; Roman Garnett; Roger B. Grosse (AISTATS, 2017)

On Calibration of Modern Neural Networks. - Chuan Guo; Geoff Pleiss; Yu Sun 020; Kilian Q. Weinberger (ICML, 2017)

A tight bound on the size of certain separating hash families. - Chuan Guo; Douglas R. Stinson (Australas. J Comb., 2017)

Countering Adversarial Images using Input Transformations. - Chuan Guo; Mayank Rana; Moustapha Cissé; Laurens van der Maaten (ICLR (Poster), 2018)

An empirical study on evaluation metrics of generative adversarial networks. - Qiantong Xu; Gao Huang; Yang Yuan; Chuan Guo; Yu Sun 020; Felix Wu; Kilian Q. Weinberger (CoRR, 2018)

On the b-chromatic number of cartesian products. - Chuan Guo; Mike Newman (Discret. Appl. Math., 2018)

Simple Black-box Adversarial Attacks. - Chuan Guo; Jacob R. Gardner; Yurong You; Andrew Gordon Wilson; Kilian Q. Weinberger (ICML, 2019)

Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces. - Chuan Guo; Ali Mousavi 003; Xiang Wu; Daniel Niels Holtmann-Rice; Satyen Kale; Sashank J. Reddi; Sanjiv Kumar (NeurIPS, 2019)

A New Defense Against Adversarial Images: Turning a Weakness into a Strength. - Shengyuan Hu 001; Tao Yu; Chuan Guo; Wei-Lun Chao; Kilian Q. Weinberger (NeurIPS, 2019)

Low Frequency Adversarial Perturbation. - Chuan Guo; Jared S. Frank; Kilian Q. Weinberger (UAI, 2019)

Exploiting Emotions for Fake News Detection on Social Media. - Chuan Guo; Juan Cao 001; Xueyao Zhang; Kai Shu; Miao Yu (CoRR, 2019)

A Preliminary Analysis of the Various Reaching Pattern Classifications. - Kunkun Zhao; Zhisheng Zhang; Chuan Guo; Jiankang Wu (ICBBT, 2020)

Certified Data Removal from Machine Learning Models. - Chuan Guo; Tom Goldstein; Awni Y. Hannun; Laurens van der Maaten (ICML, 2020)

Action2Motion: Conditioned Generation of 3D Human Motions. - Chuan Guo; Xinxin Zuo; Sen Wang 003; Shihao Zou; Qingyao Sun; Annan Deng; Minglun Gong; Li Cheng 001 (ACM Multimedia, 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)

TrojanNet: Embedding Hidden Trojan Horse Models in Neural Networks. - Chuan Guo; Ruihan Wu; Kilian Q. Weinberger (CoRR, 2020)

Threats and Countermeasures in Machine Learning Applications. - Chuan Guo (2020)

Method and Realization of Multiplayer Collaborative Control oriented to the Consultation Platform. - Xinyue Miao; Chengqi Xue; Chuan Guo; Xiaozhou Zhou; Lichun Yang; Lesong Jia (EITCE, 2021)

Gradient-based Adversarial Attacks against Text Transformers. - Chuan Guo; Alexandre Sablayrolles; Hervé Jégou; Douwe Kiela (EMNLP (1), 2021)

EventHPE: Event-based 3D Human Pose and Shape Estimation. - Shihao Zou; Chuan Guo; Xinxin Zuo; Sen Wang 003; Pengyu Wang; Xiaoqin Hu; Shoushun Chen; Minglun Gong; Li Cheng 001 (ICCV, 2021)

Making Paper Reviewing Robust to Bid Manipulation Attacks. - Ruihan Wu; Chuan Guo; Felix Wu; Rahul Kidambi; Laurens van der Maaten; Kilian Q. Weinberger (ICML, 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 (M2VIP, 2021)

BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining. - Weizhe Hua; Yichi Zhang 006; Chuan Guo; Zhiru Zhang; G. Edward Suh (NeurIPS, 2021)

ReAct: Out-of-distribution Detection With Rectified Activations. - Yiyou Sun; Chuan Guo; Yixuan Li 001 (NeurIPS, 2021)

Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems. - Ruihan Wu; Chuan Guo; Awni Y. Hannun; Laurens van der Maaten (NeurIPS, 2021)

Online Adaptation to Label Distribution Shift. - Ruihan Wu; Chuan Guo; Yi Su; Kilian Q. Weinberger (NeurIPS, 2021)

Measuring data leakage in machine-learning models with Fisher information. - Awni Y. Hannun; Chuan Guo; Laurens van der Maaten (UAI, 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)

Byzantine-Robust and Privacy-Preserving Framework for FedML. - Hanieh Hashemi; Yongqin Wang; Chuan Guo; Murali Annavaram (CoRR, 2021)

Human Pose and Shape Estimation from Single Polarization Images. - Shihao Zou; Xinxin Zuo; Sen Wang 003; Yiming Qian; Chuan Guo; Wei Ji 011; Jingjing Li; Minglun Gong; Li Cheng 001 (CoRR, 2021)

Research on Rapid Detection Electrochemical Sensor-Assisted Textile Art Design. - Chuan Guo (J. Sensors, 2021)

EIFFeL: Ensuring Integrity for Federated Learning. - Amrita Roy Chowdhury 001; Chuan Guo; Somesh Jha; Laurens van der Maaten (CCS, 2022)

Generating Diverse and Natural 3D Human Motions from Text. - Chuan Guo; Shihao Zou; Xinxin Zuo; Sen Wang 003; Wei Ji 011; Xingyu Li; Li Cheng 001 (CVPR, 2022)

TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts. - Chuan Guo; Xinxin Zuo; Sen Wang 003; Li Cheng 001 (ECCV (35), 2022)

Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection. - Wei Ji 011; Jingjing Li; Qi Bi; Chuan Guo; Jie Liu; Li Cheng 001 (ICLR, 2022)

On the Importance of Difficulty Calibration in Membership Inference Attacks. - Lauren Watson; Chuan Guo; Graham Cormode; Alexandre Sablayrolles (ICLR, 2022)

Bounding Training Data Reconstruction in Private (Deep) Learning. - Chuan Guo; Brian Karrer; Kamalika Chaudhuri; Laurens van der Maaten (ICML, 2022)

Measuring Data Leakage in Machine-Learning Models with Fisher Information (Extended Abstract). - Awni Y. Hannun; Chuan Guo; Laurens van der Maaten (IJCAI, 2022)

Privacy-aware compression for federated data analysis. - Kamalika Chaudhuri; Chuan Guo; Mike Rabbat (UAI, 2022)

Submix: Practical Private Prediction for Large-Scale Language Models. - Antonio Ginart; Laurens van der Maaten; James Zou 001; Chuan Guo (CoRR, 2022)

TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts. - Chuan Guo; Xinxin Xuo; Sen Wang 003; Li Cheng 001 (CoRR, 2022)

Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information. - Kiwan Maeng; Chuan Guo; Sanjay Kariyappa; G. Edward Suh (CoRR, 2022)

The Interpolated MVU Mechanism For Communication-efficient Private Federated Learning. - Chuan Guo; Kamalika Chaudhuri; Pierre Stock; Mike Rabbat (CoRR, 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)

Action2video: Generating Videos of Human 3D Actions. - Chuan Guo; Xinxin Zuo; Sen Wang 003; Xinshuang Liu; Shihao Zou; Minglun Gong; Li Cheng 001 (Int. J. Comput. Vis., 2022)

Origins of Low-Dimensional Adversarial Perturbations. - Elvis Dohmatob; Chuan Guo; Morgane Goibert (AISTATS, 2023)

Does Label Differential Privacy Prevent Label Inference Attacks? - Ruihan Wu; Jin Peng Zhou; Kilian Q. Weinberger; Chuan Guo (AISTATS, 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 (ICCV, 2023)

Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design. - Chuan Guo; Kamalika Chaudhuri; Pierre Stock; Michael G. Rabbat (ICML, 2023)

Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano. - Chuan Guo; Alexandre Sablayrolles; Maziar Sanjabi (ICML, 2023)

Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis. - Sanjay Kariyappa; Chuan Guo; Kiwan Maeng; Wenjie Xiong 001; G. Edward Suh; Moinuddin K. Qureshi; Hsien-Hsin S. Lee (ICML, 2023)

Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information. - Kiwan Maeng; Chuan Guo; Sanjay Kariyappa; G. Edward Suh (NeurIPS, 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 (NeurIPS, 2023)

Private Prediction Strikes Back! Private Kernelized Nearest Neighbors with Individual Rényi Filter. - Yuqing Zhu 005; Xuandong Zhao; Chuan Guo; Yu-Xiang Wang 003 (UAI, 2023)

Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning. - Ruihan Wu; Xiangyu Chen; Chuan Guo; Kilian Q. Weinberger (UAI, 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)

Information Flow Control in Machine Learning through Modular Model Architecture. - Trishita Tiwari; Suchin Gururangan; Chuan Guo; Weizhe Hua; Sanjay Kariyappa; Udit Gupta; Wenjie Xiong 001; Kiwan Maeng; Hsien-Hsin S. Lee; G. Edward Suh (CoRR, 2023)

ViP: A Differentially Private Foundation Model for Computer Vision. - Yaodong Yu; Maziar Sanjabi; Yi Ma 001; Kamalika Chaudhuri; Chuan Guo (CoRR, 2023)

Large-Scale Public Data Improves Differentially Private Image Generation Quality. - Ruihan Wu; Chuan Guo; Kamalika Chaudhuri (CoRR, 2023)

MoMask: Generative Masked Modeling of 3D Human Motions. - Chuan Guo; Yuxuan Mu; Muhammad Gohar Javed; Sen Wang; Li Cheng (CoRR, 2023)

Human Pose and Shape Estimation From Single Polarization Images. - Shihao Zou; Xinxin Zuo; Sen Wang 003; Yiming Qian; Chuan Guo; Li Cheng 001 (IEEE Trans. Multim., 2023)

MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation. - Nhat M. Hoang; Kehong Gong; Chuan Guo; Michael Bi Mi (AAAI, 2024)

Generative Human Motion Stylization in Latent Space. - Chuan Guo; Yuxuan Mu; Xinxin Zuo; Peng Dai; Youliang Yan; Juwei Lu; Li Cheng 001 (CoRR, 2024)

Déjà Vu Memorization in Vision-Language Models. - Bargav Jayaraman; Chuan Guo; Kamalika Chaudhuri (CoRR, 2024)

Differentially Private Representation Learning via Image Captioning. - Tom Sander; Yaodong Yu; Maziar Sanjabi; Alain Durmus; Yi Ma 001; Kamalika Chaudhuri; Chuan Guo (CoRR, 2024)

Privacy Amplification for the Gaussian Mechanism via Bounded Support. - Shengyuan Hu 001; Saeed Mahloujifar; Virginia Smith; Kamalika Chaudhuri; Chuan Guo (CoRR, 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)

Guarantees of confidentiality via Hammersley-Chapman-Robbins bounds. - Kamalika Chaudhuri; Chuan Guo; Laurens van der Maaten; Saeed Mahloujifar; Mark Tygert (CoRR, 2024)

AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs. - Anselm Paulus; Arman Zharmagambetov; Chuan Guo; Brandon Amos; Yuandong Tian (CoRR, 2024)

An Introduction to Vision-Language Modeling. - Florian Bordes; Richard Yuanzhe Pang; Anurag Ajay; Alexander C. Li; Adrien Bardes; Suzanne Petryk; Oscar Mañas; Zhiqiu Lin; Anas Mahmoud 002; Bargav Jayaraman; Mark Ibrahim; Melissa Hall; et al. (CoRR, 2024)