Wenjie Ruan

24 papers · 2018–2026 · 9 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

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🗺️ Taxonomy Completionist (44) 🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird

🔬 Deep Specialist (10) 🤝 Dynamic Duo (12) 💎 Century Club · Bronze 🗃️ Keyword Collector (118) ⚡ Prolific Year · Prolific

Venues

AAAI (10) CVPR (4) IJCAI (3) NeurIPS (2) ACL (1) ECCV (1) EMNLP (1) ICCV (1) ICML (1)

Top co-authors

Xiaowei Huang (12) Xingyu Zhao (6) Ronghui Mu (5) Yanghao Zhang (4) Xiangyu Yin (4) Yi Zhang (4) Zhen Chen (3) Tianle Zhang (3) Fu Wang (3) Ruizhi Zhong (2)

Research topics

Machine Learning (19) Artificial Intelligence (16) Core AI (16) Learning Types · Machine Learning (13) Deep Learning (10) Optimization & Theory · Machine Learning (10) Learning Types · Deep Learning (5) Reinforcement Learning (4) Core Methods (4) Methods (4) Application Areas (3) Optimization & Theory · Deep Learning (3) Architectures (2) Computer Vision (1) Bayesian & Probabilistic (1)

Keywords

adversarial robustness (10) adversarial training (4) adversarial example (4) neural network verification (3) representation learning (3) adversarial perturbation (3) reinforcement learning (2) policy smoothing (2) adversarial attack (2) reachability analysis (2) deep neural network (2) formal verification (2) provable guarantee (2) backdoor attack (2) probabilistic modeling (1) risk management (1) false discovery rate (1) self-attention mechanism (1) contrastive learning (1) neural network pruning (1)

Papers

Fragile by Design: On the Limits of Adversarial Defenses in Personalized DreamBooth Generation AAAI 2026 Jailbreaking Vision-Language Models via Dissonance-Guided Suffix Optimization and Image-Phrase Injection CVPR 2026 Logit-Margin Repulsion for Backdoor Defense CVPR 2026 A Black-Box Evaluation Framework for Semantic Robustness in Bird’s Eye View Detection AAAI 2025 Adversarial Training for Probabilistic Robustness ICCV 2025 Boosting Adversarial Training via Fisher-Rao Norm-based Regularization CVPR 2024 CROWD: Certified Robustness via Weight Distribution for Smoothed Classifiers against Backdoor Attack EMNLP 2024 Position: Building Guardrails for Large Language Models Requires Systematic Design ICML 2024 PRASS: Probabilistic Risk-averse Robust Learning with Stochastic Search IJCAI 2024 ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation ECCV 2024 Representation-Based Robustness in Goal-Conditioned Reinforcement Learning AAAI 2024 Reward Certification for Policy Smoothed Reinforcement Learning AAAI 2024 TARP-VP: Towards Evaluation of Transferred Adversarial Robustness and Privacy on Label Mapping Visual Prompting Models NeurIPS 2024 The Implicit Bias of Gradient Descent toward Collaboration between Layers: A Dynamic Analysis of Multilayer Perceptions NeurIPS 2024 Towards Fairness-Aware Adversarial Learning CVPR 2024 Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning AAAI 2023 Reachability Analysis of Neural Network Control Systems AAAI 2023 RePreM: Representation Pre-training with Masked Model for Reinforcement Learning AAAI 2023 TextVerifier: Robustness Verification for Textual Classifiers with Certifiable Guarantees ACL 2023 Towards Verifying the Geometric Robustness of Large-Scale Neural Networks AAAI 2023 AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration AAAI 2020 ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context AAAI 2020 Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the Hamming Distance IJCAI 2019 Reachability Analysis of Deep Neural Networks with Provable Guarantees IJCAI 2018