Wenbo Guo
17 papers · 2018–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (14)
π
Cross-Pollinator
(14)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(27)
π
Keyword Champion
(2)
π
Grand Slam
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(70)
β
The Questioner
π
Century Club
(17)
π₯
Unstoppable
(5)
Conferences
ICML (6)
NIPS (6)
AAAI (1)
ACL (1)
EMNLP (1)
ICLR (1)
IJCAI (1)
Top co-authors
Research topics
Keywords
deep reinforcement learning
(6)
adversarial learning
(4)
adversarial attack
(3)
backdoor attack
(3)
reinforcement learning
(2)
competitive game
(2)
adversarial perturbation
(2)
model interpretability
(2)
policy explanation
(2)
model security
(1)
sentiment analysis
(1)
anomaly detection
(1)
text classification
(1)
policy gradient
(1)
adversarial robustness
(1)
variational inference
(1)
feature attribution
(1)
black-box optimization
(1)
adversarial training
(1)
policy learning
(1)
Papers
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
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
PatchPilot: A Cost-Efficient Software Engineering Agent with Early Attempts on Formal Verification
ICML 2025
Data Free Backdoor Attacks
NIPS 2024
SHINE: Shielding Backdoors in Deep Reinforcement Learning
ICML 2024
When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search
NIPS 2024
BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning
NIPS 2023
StateMask: Explaining Deep Reinforcement Learning through State Mask
NIPS 2023
Are Shortest Rationales the Best Explanations for Human Understanding?
ACL 2022
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
IJCAI 2021
EDGE: Explaining Deep Reinforcement Learning Policies
NIPS 2021
Adversarial Policy Learning in Two-player Competitive Games
ICML 2021
DANCE: Enhancing saliency maps using decoys
ICML 2021
RNNRepair: Automatic RNN Repair via Model-based Analysis
ICML 2021
Explaining Deep Learning Models -- A Bayesian Non-parametric Approach
NIPS 2018