Wenbo Guo
17 papers · 2018–2025 · 7 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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πΊοΈ Taxonomy Completionist (30) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
(2)
π
Grand Slam
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Century Club Β· Bronze
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Renaissance Researcher
(5)
ποΈ
Keyword Collector
(88)
Top co-authors
Research topics
Artificial Intelligence
(15)
Core AI
(15)
Machine Learning
(10)
Deep Learning
(7)
Learning Types Β· Machine Learning
(7)
Reinforcement Learning
(5)
Learning Types Β· Deep Learning
(5)
Methods
(4)
Optimization & Theory
(3)
Security & Privacy
(2)
Application Areas
(2)
Privacy
(2)
Computer Science
(1)
Computer Vision
(1)
Analysis
(1)
Keywords
deep reinforcement learning
(6)
adversarial learning
(4)
backdoor attack
(4)
adversarial attack
(3)
policy explanation
(3)
reinforcement learning
(2)
large language model
(2)
adversarial perturbation
(2)
model interpretability
(2)
indirect prompt injection
(2)
competitive game
(2)
text classification
(1)
model security
(1)
policy gradient
(1)
sentiment analysis
(1)
anomaly detection
(1)
adversarial robustness
(1)
variational inference
(1)
adversarial training
(1)
black-box optimization
(1)
Papers
3CAD: A Large-Scale Real-World 3C Product Dataset for Unsupervised Anomaly Detection
AAAI 2025
AGENTVIGIL: Automatic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents
EMNLP 2025
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI
ICLR 2025
MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents
ICML 2025
PatchPilot: A Cost-Efficient Software Engineering Agent with Early Attempts on Formal Verification
ICML 2025
Data Free Backdoor Attacks
NeurIPS 2024
SHINE: Shielding Backdoors in Deep Reinforcement Learning
ICML 2024
When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search
NeurIPS 2024
BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning
NeurIPS 2023
StateMask: Explaining Deep Reinforcement Learning through State Mask
NeurIPS 2023
Are Shortest Rationales the Best Explanations for Human Understanding?
ACL 2022
Adversarial Policy Learning in Two-player Competitive Games
ICML 2021
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
IJCAI 2021
DANCE: Enhancing saliency maps using decoys
ICML 2021
EDGE: Explaining Deep Reinforcement Learning Policies
NeurIPS 2021
RNNRepair: Automatic RNN Repair via Model-based Analysis
ICML 2021
Explaining Deep Learning Models -- A Bayesian Non-parametric Approach
NeurIPS 2018