← Authors

Chuan Guo

48 papers · 2016–2025 · 11 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (11) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (64) 🌈 Renaissance Researcher (9) 🐝 Cross-Pollinator (13) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (9) 🌟 Keyword Trendsetter Combo (3) πŸ† Grand Slam πŸ”¬ Deep Specialist (15) πŸ‘‘ Triple Crown πŸ† Keyword Champion (3) πŸ”₯ Unstoppable (10) ⚑ Prolific Year (8) πŸš€ Conference Pioneer πŸ’Ž Century Club (48) ❓ The Questioner (2) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (176)

Conferences

ICML (11) NIPS (11) ICLR (6) ICCV (5) UAI (5) AISTATS (3) CVPR (2) ECCV (2) AAAI (1) EMNLP (1) IJCAI (1)

Top co-authors

Li Cheng (9) Kamalika Chaudhuri (8) Xinxin Zuo (7) Kilian Q. Weinberger (7) Laurens van der Maaten (7) Ruihan Wu (5) Awni Hannun (4) Yuxuan Mu (4) Sen Wang (4) Alexandre Sablayrolles (3)

Research topics

Privacy (3) Differential Privacy (2)

Keywords

differential privacy (7) adversarial attack (5) federated learning (4) neural network (4) adversarial perturbation (3) privacy attack (3) motion generation (3) adversarial robustness (3) adversarial image (3) fisher information (3) black-box attack (3) diffusion model (3) human motion generation (3) data leakage (2) vision-language model (2) representation learning (2) 3d human motion (2) computer vision (2) communication efficiency (2) query complexity (2)

Papers

MotionDreamer: One-to-Many Motion Synthesis with Localized Generative Masked Transformer ICLR 2025
SceneMI: Motion In-betweening for Modeling Human-Scene Interaction ICCV 2025
MaskControl: Spatio-Temporal Control for Masked Motion Synthesis ICCV 2025
InterMask: 3D Human Interaction Generation via Collaborative Masked Modeling ICLR 2025
AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs ICML 2025
Ponimator: Unfolding Interactive Pose for Versatile Human-human Interaction Animation ICCV 2025
Generative Human Motion Stylization in Latent Space ICLR 2024
Differentially Private Representation Learning via Image Captioning ICML 2024
ViP: A Differentially Private Foundation Model for Computer Vision ICML 2024
Measuring Dejavu Memorization Efficiently NIPS 2024
MoMask: Generative Masked Modeling of 3D Human Motions CVPR 2024
DΓ©jΓ  Vu Memorization in Vision–Language Models NIPS 2024
GSD: View-Guided Gaussian Splatting Diffusion for 3D Reconstruction ECCV 2024
MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation AAAI 2024
Private Prediction Strikes Back! Private Kernelized Nearest Neighbors with Individual RΓ©nyi Filter UAI 2023
Do SSL Models Have DΓ©jΓ  Vu? A Case of Unintended Memorization in Self-supervised Learning NIPS 2023
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information NIPS 2023
Origins of Low-Dimensional Adversarial Perturbations AISTATS 2023
Does Label Differential Privacy Prevent Label Inference Attacks? AISTATS 2023
TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration ICCV 2023
Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design ICML 2023
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano ICML 2023
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis ICML 2023
Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning UAI 2023
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts ECCV 2022
Measuring Data Leakage in Machine-Learning Models with Fisher Information (Extended Abstract) IJCAI 2022
Privacy-aware compression for federated data analysis UAI 2022
Generating Diverse and Natural 3D Human Motions From Text CVPR 2022
Bounding Training Data Reconstruction in Private (Deep) Learning ICML 2022
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection ICLR 2022
On the Importance of Difficulty Calibration in Membership Inference Attacks ICLR 2022
Measuring data leakage in machine-learning models with Fisher information UAI 2021
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining NIPS 2021
Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems NIPS 2021
Online Adaptation to Label Distribution Shift NIPS 2021
Making Paper Reviewing Robust to Bid Manipulation Attacks ICML 2021
ReAct: Out-of-distribution Detection With Rectified Activations NIPS 2021
Gradient-based Adversarial Attacks against Text Transformers EMNLP 2021
EventHPE: Event-Based 3D Human Pose and Shape Estimation ICCV 2021
Certified Data Removal from Machine Learning Models ICML 2020
A New Defense Against Adversarial Images: Turning a Weakness into a Strength NIPS 2019
Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces NIPS 2019
Simple Black-box Adversarial Attacks ICML 2019
Low Frequency Adversarial Perturbation UAI 2019
Countering Adversarial Images using Input Transformations ICLR 2018
On Calibration of Modern Neural Networks ICML 2017
Discovering and Exploiting Additive Structure for Bayesian Optimization AISTATS 2017
Supervised Word Mover's Distance NIPS 2016