← Authors

Jiaru Zhang

7 papers · 2021–2025 · 5 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (19) πŸ”₯ Unstoppable (5)

Conferences

CVPR (2) ICML (2) AAAI (1) AISTATS (1) ICCV (1)

Top co-authors

Haibing Guan (6) Yang Hua (6) Tao Song (5) Xiaoyu Wu (4) Zhengui XUE (3) Ruhui Ma (3) Hao Wang (3) Chumeng Liang (2) Dongmei Zhang (1) Zizhen Deng (1)

Research topics

Privacy (2)

Keywords

copyright protection (2) bayesian neural network (2) uncertainty quantification (2) diffusion model (2) epistemic uncertainty (2) parameter estimation (1) kl divergence (1) distributed learning (1) posterior sampling (1) model uncertainty (1) monte carlo estimation (1) monte carlo sampling (1) spectral norm (1) backdoor attack (1) generative model (1) adversarial defense (1) adversarial example (1) gradient inversion (1) gradient alignment (1) model performance (1)

Papers

Stealthy Backdoor Attack in Federated Learning via Adaptive Layer-wise Gradient Alignment ICCV 2025
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning AISTATS 2025
Leveraging Model Guidance to Extract Training Data from Personalized Diffusion Models ICML 2025
CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion CVPR 2024
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples ICML 2023
Improving Bayesian Neural Networks by Adversarial Sampling AAAI 2022
Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization CVPR 2021