Wenjie Ruan
22 papers · 2018–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (11) 🧭 Keyword Pioneer 🏃 Academic Marathon (7) 🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (5)
🏃
Academic Marathon
(7)
🐝
Cross-Pollinator
(11)
🤝
Dynamic Duo
(11)
🔬
Deep Specialist
(10)
💎
Century Club
(21)
⚡
Prolific Year
(10)
🗃️
Keyword Collector
(98)
Conferences
AAAI (10)
IJCAI (3)
CVPR (2)
NIPS (2)
ACL (1)
ECCV (1)
EMNLP (1)
ICCV (1)
ICML (1)
Top co-authors
Keywords
adversarial robustness
(9)
adversarial perturbation
(3)
neural network verification
(3)
adversarial example
(3)
adversarial training
(3)
representation learning
(3)
policy smoothing
(2)
adversarial attack
(2)
reinforcement learning
(2)
reachability analysis
(2)
deep neural network
(2)
formal verification
(2)
provable guarantee
(2)
convex optimization
(1)
transfer learning
(1)
vision transformer
(1)
probabilistic modeling
(1)
risk management
(1)
adversarial learning
(1)
sequence modeling
(1)
Papers
Fragile by Design: On the Limits of Adversarial Defenses in Personalized DreamBooth Generation
AAAI 2026
Adversarial Training for Probabilistic Robustness
ICCV 2025
A Black-Box Evaluation Framework for Semantic Robustness in Bird’s Eye View Detection
AAAI 2025
TARP-VP: Towards Evaluation of Transferred Adversarial Robustness and Privacy on Label Mapping Visual Prompting Models
NIPS 2024
The Implicit Bias of Gradient Descent toward Collaboration between Layers: A Dynamic Analysis of Multilayer Perceptions
NIPS 2024
Reward Certification for Policy Smoothed Reinforcement Learning
AAAI 2024
Representation-Based Robustness in Goal-Conditioned Reinforcement Learning
AAAI 2024
Towards Fairness-Aware Adversarial Learning
CVPR 2024
Boosting Adversarial Training via Fisher-Rao Norm-based Regularization
CVPR 2024
ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation
ECCV 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
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning
AAAI 2023
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning
AAAI 2023
Towards Verifying the Geometric Robustness of Large-Scale Neural Networks
AAAI 2023
Reachability Analysis of Neural Network Control Systems
AAAI 2023
TextVerifier: Robustness Verification for Textual Classifiers with Certifiable Guarantees
ACL 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