Liao, Zeyi

AmpleGCG: Learning a Universal and Transferable Generative Model of Adversarial Suffixes for Jailbreaking Both Open and Closed LLMs

Liao, Z., & Sun, H. (2024) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 7

ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery

Chen, Z., Chen, S., Ning, Y., Zhang, Q., Wang, B., Yu, B., Li, Y., Liao, Z., Wei, C., Lu, Z., et al. (2024) · arXiv

Scientific Computing and Data ManagementArtificial Intelligence Applications

Cited by 7

Introducing v0.5 of the AI Safety Benchmark from MLCommons

Vidgen, B., Agrawal, A., Ahmed, A. M., Akinwande, V., Al-Nuaimi, N., Alfaraj, N., Alhajjar, E., Aroyo, L., Bavalatti, T., Bartolo, M., et al. (2024) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 5

Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge

Gou, B., Huang, Z., Ning, Y., Gu, Y., Lin, M., Qi, W., Kopanev, A., Yu, B., Gutiérrez, B. J., Shu, Y., et al. (2025) · arXiv

Information Retrieval and Search BehaviorWeb Data Mining and Analysis

Cited by 3

AdvAgent: Controllable Blackbox Red-teaming on Web Agents

Xu, C., Kang, M., Zhang, J., Liao, Z., Mo, L., Yuan, M., Sun, H., & Li, B. (2024) · arXiv

Adversarial Robustness in Machine LearningWeb Application Security Vulnerabilities

Cited by 1

EIA: Environmental Injection Attack on Generalist Web Agents for Privacy Leakage

Liao, Z., Mo, L., Xu, C., Kang, M., Zhang, J., Xiao, C., Tian, Y., Li, B., & Sun, H. (2024) · arXiv

Web Application Security VulnerabilitiesAdversarial Robustness in Machine Learning

Cited by 1

Agent Learning via Early Experience

Zhang, K., Chen, X., Liu, B., Xue, T., Liao, Z., Liu, Z., Wang, X., Ning, Y., Chen, Z., Fu, X., et al. (2025) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 0