Chuan Guo

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

Achievements

+15 more ↓

🌍 Conference Polyglot (11) 🏃 Academic Marathon (9) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (13)

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (9) 🌟 Keyword Trendsetter Combo (3) 🏆 Grand Slam 🔬 Deep Specialist (15) 👑 Triple Crown 🏆 Keyword Champion (3) 🔥 Unstoppable (10) ⚡ Prolific Year (8) 🚀 Conference Pioneer 💎 Century Club (48) ❓ The Questioner (2) 📈 Trend Setter 🗃️ 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 Déjà 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 Rényi Filter UAI 2023 Do SSL Models Have Déjà 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