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Aishan Liu β most-cited papers & profile Β· Large Language Models
β authors
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Aishan Liu
17
papers Β·
41
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Most-cited papers
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection
2023 Β· 17 citations
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection
2023 Β· 17 citations
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence
2023 Β· 3 citations
Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game
2023 Β· 2 citations
Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt
2024 Β· 1 citations
SafeBench: A Safety Evaluation Framework for Multimodal Large Language Models
2024 Β· 1 citations
Ensemble-Based Uncertainty Estimation for Code Correctness Estimation
2026
CodeSimpleQA: Scaling Factuality in Code Large Language Models
2025
M2G-Eval: Enhancing and Evaluating Multi-granularity Multilingual Code Generation
2025
CodeChemist: Functional Knowledge Transfer for Low-Resource Code Generation via Test-Time Scaling
2025
From Context to Intent: Reasoning-Guided Function-Level Code Completion
2025
Investigating Training Data Detection in AI Coders
2025
T2VShield: Model-Agnostic Jailbreak Defense for Text-to-Video Models
2025
ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models
2025
Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks
2023
Topics
Code Models
Adversarial ML
Code Generation
Software Engineering
Vulnerability Detection
Testing
Bug Detection
Code Translation
Code Understanding
LLM Security