From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 more institutions on single bylines are not listed.

Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5Computer Science · 3 works Artificial Intelligence · 3 works Safety Research · 2 works Social Sciences · 2 works Computer Vision and Pattern Recognition · 1 work

🧭 Topics 2Bias, fairness & safety · 3 works Language models & pretraining · 2 works

Works by year

2020s

20242 papers 20231 paper

Papers

The most cited first (OpenAlex and our library).

Visual Adversarial Examples Jailbreak Aligned Large Language Models (2023 · 240 citations)
Adding image inputs to large language models creates new security risks. The authors argue that images are continuous and high-dimensional, which makes them much easier to manipulate adversarially than discrete text. Because these models can do so many things, a successful attack can do more than cause a…
SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal (2024 · 87 citations)
SORRY-Bench is a benchmark that measures how reliably aligned LLMs decline unsafe requests. The authors identify three weaknesses in earlier safety evaluations. Their category schemes are coarse and inconsistent, and they concentrate on a few topics such as fraud while barely testing others like self-harm. They…
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications (2024 · 66 citations)
Aligned LLMs can be jailbroken or lose their safeguards even after harmless fine-tuning. The authors ask whether this fragility can be traced to specific parts of the weights. Using the Llama2-chat family, they attribute behaviour to individual neurons and to low-rank components of weight matrices. They use two…

All works

5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

Visual Adversarial Examples Jailbreak Aligned Large Language ModelsProceedings of the AAAI Conference on Artificial IntelligenceXiangyu Qi, Kaixuan Huang, Ashwinee Panda, et al.2023 · 240 citations
CRISPR-GPT for Agentic Automation of Gene-editing Experiments ↗arXiv:2404.18021 · no summary yetYuanhao Qu et al.2024 · 163 citations
SORRY-Bench: Systematically Evaluating Large Language Model Safety RefusalarXiv:2406.14598Tinghao Xie, Xiangyu Qi, Yi Zeng, et al.2024 · 87 citations
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank ModificationsarXiv:2402.05162Boyi Wei, Kaixuan Huang, Yangsibo Huang, et al.2024 · 66 citations
AI Risk Management Should Incorporate Both Safety and Security ↗arXiv (Cornell University) · no summary yetXiangyu Qi et al.2024 · 3 citations

Co-authors here

12 of 15 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

Proceedings of the AAAI Conference on Artificial Intelligence: Proceedings of the AAAI Conference on Artificial Intelligence 2023

Cited by

Papers of our library cite their works 264 times (of the 149,439 papers whose bibliographies we read); 74 citing papers with a page here →.

Updated 2 November 2026

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🧑‍🔬 Kaixuan Huang

🏛️ Affiliations

🧭 Fields, topics and concepts

📅 Works by year

2020s

📄 Papers

All works

🤝 Co-authors here

Venues

🔗 Cited by

Kaixuan Huang

Affiliations

Fields, topics and concepts

Works by year

Papers

Co-authors here

Cited by