Xiao, Chaowei
Johns Hopkins University
13 papers on CoChatORCID 0000-0002-7043-4926
Most cited papers
- Verified
Robust physical-world attacks on deep learning visual classification
Eykholt, K., Evtimov, I., Fernandes, E., Li, B., Rahmati, A., Xiao, C., Prakash, A., Kohno, T., & Song, D. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Adversarial Robustness in Machine LearningDigital Media Forensic Detection
Cited by 2,173
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TrustLLM: Trustworthiness in Large Language Models
Huang, Y., Sun, L., Wang, H., Wu, S., Zhang, Q., Li, Y., Gao, C., Huang, Y., Lyu, W., Zhang, Y., et al. (2024) · arXiv
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 256
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AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases
Chen, Z., Xiang, Z., Xiao, C., Song, D., & Li, B. (2024) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 246
- Verified
Voyager: An Open-Ended Embodied Agent with Large Language Models
Wang, G., Xie, Y., Jiang, Y., Mandlekar, A., Xiao, C., Zhu, Y., Fan, L., & Anandkumar, A. (2023) · arXiv
Reinforcement Learning in RoboticsArtificial Intelligence in Games
Cited by 222
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GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics
Zvyagin, M., Brace, A., Hippe, K., Deng, Y., Zhang, B., Bohorquez, C. O., Clyde, A., Kale, B., Perez-Rivera, D., Ma, H., et al. (2022) · The International Journal of High Performance Computing Applications
SARS-CoV-2 and COVID-19 ResearchGenomics and Phylogenetic Studies
Cited by 120
- Verified
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics
Zvyagin, M., Brace, A., Hippe, K., Deng, Y., Zhang, B., Bohorquez, C. O., Clyde, A., Kale, B., Perez-Rivera, D., Ma, H., et al. (2023) · The International Journal of High Performance Computing Applications
SARS-CoV-2 and COVID-19 ResearchGenomics and Phylogenetic Studies
Cited by 120
- Verified
Adversarial objects against lidar-based autonomous driving systems
Cao, Y., Xiao, C., Yang, D., Fang, J., Yang, R., Liu, M., & Li, B. (2019) · arXiv
Adversarial Robustness in Machine LearningAutonomous Vehicle Technology and Safety
Cited by 102
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Taxonomy of Machine Learning Safety: A Survey and Primer
Mohseni, S., Wang, H., Xiao, C., Yu, Z., Wang, Z., & Yadawa, J. (2023) · ACM Computing Surveys
Safety Systems Engineering in AutonomyAdversarial Robustness in Machine Learning
Cited by 53
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A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems
Wu, F., Zhang, N., Jha, S., McDaniel, P., & Xiao, C. (2024) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 23
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Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study
Wang, B., Ping, W., Xu, P., McAfee, L., Liu, Z., Shoeybi, M., Dong, Y., Kuchaiev, O., Li, B., Xiao, C., et al. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Topic ModelingInformation Retrieval and Search Behavior
Cited by 21
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Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking
Xu, N., Wang, F., Zhou, B., Li, B., Xiao, C., & Chen, M. (2024) · Findings of the Association for Computational Linguistics: NAACL 2024
Adversarial Robustness in Machine LearningTopic Modeling
Cited by 21
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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
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Appreciation Teaches Unauthorized Execution: Self-Evolution Degrades the Robustness of Personal Agents to Indirect Prompt Injection
Wang, X., Liu, X., Shao, J., & Xiao, C. (2026) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 0
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