Guo, Chuan

60 publications

NeurIPS 2025 AdvPrefix: An Objective for Nuanced LLM Jailbreaks Sicheng Zhu, Brandon Amos, Yuandong Tian, Chuan Guo, Ivan Evtimov

ICML 2025 AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs Anselm Paulus, Arman Zharmagambetov, Chuan Guo, Brandon Amos, Yuandong Tian

NeurIPS 2025 AgentDAM: Privacy Leakage Evaluation for Autonomous Web Agents Arman Zharmagambetov, Chuan Guo, Ivan Evtimov, Maya Pavlova, Ruslan Salakhutdinov, Kamalika Chaudhuri

ICLRW 2025 Detecting Benchmark Contamination Through Watermarking Tom Sander, Pierre Fernandez, Saeed Mahloujifar, Alain Oliviero Durmus, Chuan Guo

ICLR 2025 InterMask: 3D Human Interaction Generation via Collaborative Masked Modeling Muhammad Gohar Javed, Chuan Guo, Li Cheng, Xingyu Li

ICCV 2025 MaskControl: Spatio-Temporal Control for Masked Motion Synthesis Ekkasit Pinyoanuntapong, Muhammad Saleem, Korrawe Karunratanakul, Pu Wang, Hongfei Xue, Chen Chen, Chuan Guo, Junli Cao, Jian Ren, Sergey Tulyakov

ICLR 2025 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

ICCV 2025 Ponimator: Unfolding Interactive Pose for Versatile Human-Human Interaction Animation Shaowei Liu, Chuan Guo, Bing Zhou, Jian Wang

NeurIPS 2025 Rethinking the Role of Verbatim Memorization in LLM Privacy Tom Sander, Bargav Jayaraman, Mark Ibrahim, Kamalika Chaudhuri, Chuan Guo

ICCV 2025 SceneMI: Motion In-Betweening for Modeling Human-Scene Interaction Inwoo Hwang, Bing Zhou, Young Min Kim, Jian Wang, Chuan Guo

NeurIPS 2025 SnapMoGen: Human Motion Generation from Expressive Texts Chuan Guo, Inwoo Hwang, Jian Wang, Bing Zhou

TMLR 2025 Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Sai Qian Zhang, Ziyun Li, Chuan Guo, Saeed Mahloujifar, Deeksha Dangwal, G. Edward Suh, Barbara De Salvo, Chiao Liu

NeurIPS 2025 WASP: Benchmarking Web Agent Security Against Prompt Injection Attacks Ivan Evtimov, Arman Zharmagambetov, Aaron Grattafiori, Chuan Guo, Kamalika Chaudhuri

ICML 2024 Differentially Private Representation Learning via Image Captioning Tom Sander, Yaodong Yu, Maziar Sanjabi, Alain Oliviero Durmus, Yi Ma, Kamalika Chaudhuri, Chuan Guo

NeurIPS 2024 Déjà Vu Memorization in Vision–Language Models Bargav Jayaraman, Chuan Guo, Kamalika Chaudhuri

ECCV 2024 GSD: View-Guided Gaussian Splatting Diffusion for 3D Reconstruction Yuxuan Mu, Xinxin Zuo, Chuan Guo, Yilin Wang, Juwei Lu, Xiaofei Wu, Songcen Xu, Peng Dai, Youliang Yan, Li Cheng

ICLR 2024 Generative Human Motion Stylization in Latent Space Chuan Guo, Yuxuan Mu, Xinxin Zuo, Peng Dai, Youliang Yan, Juwei Lu, Li Cheng

TMLR 2024 Guarantees of Confidentiality via Hammersley-Chapman-Robbins Bounds Kamalika Chaudhuri, Chuan Guo, Laurens van der Maaten, Saeed Mahloujifar, Mark Tygert

NeurIPS 2024 Measuring Dejavu Memorization Efficiently Narine Kokhlikyan, Bargav Jayaraman, Florian Bordes, Chuan Guo, Kamalika Chaudhuri

CVPR 2024 MoMask: Generative Masked Modeling of 3D Human Motions Chuan Guo, Yuxuan Mu, Muhammad Gohar Javed, Sen Wang, Li Cheng

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

ECCVW 2024 RegionGrasp: A Novel Task for Contact Region Controllable Hand Grasp Generation Yilin Wang, Chuan Guo, Li Cheng, Hai Jiang

ICML 2024 ViP: A Differentially Private Foundation Model for Computer Vision Yaodong Yu, Maziar Sanjabi, Yi Ma, Kamalika Chaudhuri, Chuan Guo

ICML 2023 Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson from Fano Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi

NeurIPS 2023 Bounding the Invertibility of Privacy-Preserving Instance Encoding Using Fisher Information Kiwan Maeng, Chuan Guo, Sanjay Kariyappa, G. Edward Suh

ICML 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

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

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

UAI 2023 Learning to Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning Ruihan Wu, Xiangyu Chen, Chuan Guo, Kilian Q. Weinberger

ICMLW 2023 Machine Learning with Feature Differential Privacy Saeed Mahloujifar, Chuan Guo, G. Edward Suh, Kamalika Chaudhuri

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

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

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

ICCV 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

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

CVPR 2022 Generating Diverse and Natural 3D Human Motions from Text Chuan Guo, Shihao Zou, Xinxin Zuo, Sen Wang, Wei Ji, Xingyu Li, Li Cheng

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

NeurIPSW 2022 Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information Kiwan Maeng, Chuan Guo, Sanjay Kariyappa, Edward Suh

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

UAI 2022 Privacy-Aware Compression for Federated Data Analysis Kamalika Chaudhuri, Chuan Guo, Mike Rabbat

ICLR 2022 Promoting Saliency from Depth: Deep Unsupervised RGB-D Saliency Detection Wei Ji, Jingjing Li, Qi Bi, Chuan Guo, Jie Liu, Li Cheng

ECCV 2022 TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts Chuan Guo, Xinxin Zuo, Sen Wang, Li Cheng

NeurIPSW 2022 The Interpolated MVU Mechanism for Communication-Efficient Private Federated Learning Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Michael Rabbat

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

ICCV 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

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

ICML 2021 Making Paper Reviewing Robust to Bid Manipulation Attacks Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens Van Der Maaten, Kilian Weinberger

UAI 2021 Measuring Data Leakage in Machine-Learning Models with Fisher Information Awni Hannun, Chuan Guo, Laurens Maaten

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

NeurIPS 2021 ReAct: Out-of-Distribution Detection with Rectified Activations Yiyou Sun, Chuan Guo, Yixuan Li

ICML 2020 Certified Data Removal from Machine Learning Models Chuan Guo, Tom Goldstein, Awni Hannun, Laurens Van Der Maaten

ICLR 2020 TrojanNet: Exposing the Danger of Trojan Horse Attack on Neural Networks Chuan Guo, Ruihan Wu, Kilian Q. Weinberger

NeurIPS 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

NeurIPS 2019 Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces Chuan Guo, Ali Mousavi, Xiang Wu, Daniel N Holtmann-Rice, Satyen Kale, Sashank Reddi, Sanjiv Kumar

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

ICML 2019 Simple Black-Box Adversarial Attacks Chuan Guo, Jacob Gardner, Yurong You, Andrew Gordon Wilson, Kilian Weinberger

ICLR 2018 Countering Adversarial Images Using Input Transformations Chuan Guo, Mayank Rana, Moustapha Cisse, Laurens van der Maaten

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

ICML 2017 On Calibration of Modern Neural Networks Chuan Guo, Geoff Pleiss, Yu Sun, Kilian Q. Weinberger

NeurIPS 2016 Supervised Word Mover's Distance Gao Huang, Chuan Guo, Matt J Kusner, Yu Sun, Fei Sha, Kilian Q. Weinberger