Daizong Ding

6 papers · 2018–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird

Venues

AAAI (2) CVPR (2) EMNLP (1) ICML (1)

Top co-authors

Mi Zhang (5) Min Yang (4) Yuanmin Huang (3) Erling Jiang (3) Xudong Pan (2) Wenxuan Li (1) Zhaoxiang Wang (1) Gongshen Liu (1) Zongru Wu (1) Pengzhou Cheng (1)

Research topics

Machine Learning (6) Learning Types · Machine Learning (6) Artificial Intelligence (4) Deep Learning (4) Core AI (4) Learning Types · Deep Learning (4) Computer Vision (3) Analysis (2) Application Areas (2) Core Methods (1) Generation (1) Optimization & Theory (1) Techniques (1)

Keywords

adversarial learning (2) adversarial robustness (2) 3d vision (2) point cloud classification (2) contrastive learning (2) deep neural network (2) generalization error (1) backdoor attack (1) adversarial attack (1) black-box attack (1) tree search (1) adversarial defense (1) node embedding (1) robustness certification (1) generative adversarial network (1) multimodal large language model (1) adversarial example (1) structural information (1) min-max optimization (1) hidden confounder (1)

Papers

Hidden Ghost Hand: Unveiling Backdoor Vulnerabilities in MLLM-Powered Mobile GUI Agents EMNLP 2025 CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification CVPR 2024 Black-Box Adversarial Attack on Time Series Classification AAAI 2023 CAP: Robust Point Cloud Classification via Semantic and Structural Modeling CVPR 2023 Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning AAAI 2020 Theoretical Analysis of Image-to-Image Translation with Adversarial Learning ICML 2018