---
title: "Daniel D. Kang — author profile and papers · Text generation"
description: "Daniel D. Kang, University of Illinois Urbana-Champaign: 4 papers on Elamur Research (2020–2026), h-index 23 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/daniel-d-kang/"
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# Daniel D. Kang

Daniel D. Kang has 4 papers in our library, in 2020–2026, most of them on [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Qiusi Zhan](https://md.research.elamur.ai/free/en/authors/qiusi-zhan/), [Joo-Kyung Kim](https://md.research.elamur.ai/free/en/authors/joo-kyung-kim/), [Tatsunori Hashimoto](https://md.research.elamur.ai/free/en/authors/tatsunori-hashimoto/).

4 papers in our library · 2020–2026

[OpenAlex](https://openalex.org/A5072348548) · [ORCID](https://orcid.org/0000-0001-9860-9938) · [Wikidata](https://www.wikidata.org/wiki/Q59748454) · [**h-index 23**](https://openalex.org/authors/A5072348548) · [70 works](https://openalex.org/works?filter=author.id:A5072348548) · [2,154 citations](https://openalex.org/works?filter=author.id:A5072348548&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/daniel-d-kang/#papers) · [🔗 Cited 320 times in our library](https://md.research.elamur.ai/free/en/authors/daniel-d-kang/cited-by/) · [13 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4688](https://md.research.elamur.ai/free/en/paper-stars/page/47/#star-4688)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Daniel+D.+Kang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Daniel+D.+Kang) · [dblp](https://dblp.org/search?q=Daniel+D.+Kang) · [ACL Anthology](https://aclanthology.org/search/?q=Daniel+D.+Kang)

## Affiliations

[🎓**University of Illinois Urbana-Champaign** Urbana · United States 2022–2026 · 39 papersEmployment since 2023 · Assistant Professor, Computer Science*current*](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**Stanford University** Stanford · United States 2016–2024 · 19 papersEducation 2016–2023](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 2011–2017 · 5 papersEducation 2011–2015](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🔬**MIT Computer Science and Artificial Intelligence Laboratory** Cambridge · United States 2016–2017 · 2 papers](https://md.research.elamur.ai/free/en/labs/mit-computer-science-and-artificial-intelligence-laboratory/) · [🎓**University of California, Berkeley** Berkeley · United States 2022–2023Employment 2022–2023 · Postdoc, Computer Science](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🎓**University of Cambridge** Cambridge · United Kingdom 2015–2016Education 2015–2016](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 2 Research subjects and languages the work is about.[Text generation · 1 work](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/daniel-d-kang/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/daniel-d-kang/year/2024/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/daniel-d-kang/year/2020/)

## Papers

The most cited first (OpenAlex and our library).

1. **[InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents](https://md.research.elamur.ai/free/en/papers/zhan-2024-injecagent-benchmarking-indirect-prompt-injections/)** *(2024 · 193 citations)* LLM agents that call tools often read outside content such as emails, reviews, notes or web pages. An attacker can plant instructions in that content to steer the agent against its own user. This is called indirect prompt injection (IPI). InjecAgent is presented as the first benchmark that measures how vulnerable…
2. **[Improved Natural Language Generation via Loss Truncation](https://md.research.elamur.ai/free/en/papers/kang-2020-improved-natural-language-generation-loss/)** *(2020 · 130 citations)* Conditional text generators are usually trained with log loss (KL divergence). This objective forces the model to cover every reference in the training set, so a small share of noisy or invalid targets can distort what it learns. Examples include titles containing facts absent from the source. Kang and Hashimoto…
3. **[Teams of LLM Agents can Exploit Zero-Day Vulnerabilities](https://md.research.elamur.ai/free/en/papers/zhu-2026-teams-llm-agents-can-exploit/)** *(2026 · 18 citations)* The paper asks whether LLM-based agents can exploit real-world zero-day vulnerabilities, meaning flaws whose description the attacker does not have.
4. **[SafeSearch: Do Not Trade Safety for Utility in LLM Search Agents](https://md.research.elamur.ai/free/en/papers/zhan-2026-safesearch-do-not-trade-safety/)** *(2026 · 1 citation)* The paper looks at the safety of LLM search agents, which repeatedly write queries, retrieve documents, and reason over them.

## All works

17 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

1. **[Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks ↗](https://doi.org/10.1109/spw63631.2024.00018) IEEE Security and Privacy Workshops (SPW) · no summary yet**Daniel D. Kang et al.*2024 · 206 citations*
2. **[InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents](https://md.research.elamur.ai/free/en/papers/zhan-2024-injecagent-benchmarking-indirect-prompt-injections/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qiusi Zhan, Zhixiang Liang, Zifan Ying, et al.*2024 · 193 citations*
3. **[Improved Natural Language Generation via Loss Truncation](https://md.research.elamur.ai/free/en/papers/kang-2020-improved-natural-language-generation-loss/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Daniel Kang, Tatsunori B. Hashimoto*2020 · 130 citations*
4. **[Testing Robustness Against Unforeseen Adversaries ↗](https://arxiv.org/abs/1908.08016) arXiv (Cornell University) · no summary yet**Kaufmann, Max et al.*2019 · 80 citations*
5. **[Identifying and Mitigating the Security Risks of Generative AI ↗](https://doi.org/10.1561/3300000041) Foundations and Trends® in Privacy and Security · no summary yet**Clark Barrett et al.*2023 · 79 citations*
6. **[ZKML: An Optimizing System for ML Inference in Zero-Knowledge Proofs ↗](https://doi.org/10.1145/3627703.3650088) no summary yet**Bing-Jyue Chen et al.*2024 · 73 citations*
7. **[Scaling up Trustless DNN Inference with Zero-Knowledge Proofs ↗](https://arxiv.org/abs/2210.08674) arXiv (Cornell University) · no summary yet**Daniel D. Kang et al.*2022 · 27 citations*
8. **[A Safe Harbor for AI Evaluation and Red Teaming ↗](https://arxiv.org/abs/2403.04893) arXiv (Cornell University) · no summary yet**Shayne Longpre et al.*2024 · 22 citations*
9. **[Transfer of Adversarial Robustness Between Perturbation Types ↗](https://arxiv.org/abs/1905.01034) arXiv (Cornell University) · no summary yet**Daniel D. Kang et al.*2019 · 22 citations*
10. **[Teams of LLM Agents can Exploit Zero-Day Vulnerabilities](https://md.research.elamur.ai/free/en/papers/zhu-2026-teams-llm-agents-can-exploit/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Yuxuan Zhu, Antony Kellermann, Akul Gupta, et al.*2026 · 18 citations*
11. **[Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation ↗](https://arxiv.org/abs/2510.11977) arXiv:2510.11977 · no summary yet**Sayash Kapoor et al.*2025 · 11 citations*
12. **[Dias: Dynamic Rewriting of Pandas Code ↗](https://arxiv.org/abs/2303.16146) arXiv:2303.16146 · no summary yet**Stefanos Baziotis, Daniel Kang, Charith Mendis*2024 · 9 citations*
13. **[Establishing Best Practices for Building Rigorous Agentic Benchmarks ↗](https://arxiv.org/abs/2507.02825) arXiv:2507.02825 · no summary yet**Yuxuan Zhu et al.*2025 · 7 citations*
14. **[Establishing Best Practices in Building Rigorous Agentic Benchmarks ↗](https://doi.org/10.52202/085713-5547) neural information processing systems · no summary yet**Yuxuan Zhu et al.*2025 · 4 citations*
15. **[ZK-IMG: Attested Images via Zero-Knowledge Proofs to Fight Disinformation ↗](https://arxiv.org/abs/2211.04775) arXiv (Cornell University) · no summary yet**Daniel D. Kang et al.*2022 · 4 citations*
16. **[Trustless Audits without Revealing Data or Models ↗](https://arxiv.org/abs/2404.04500) arXiv (Cornell University) · no summary yet**Suppakit Waiwitlikhit et al.*2024 · 2 citations*
17. **[SafeSearch: Do Not Trade Safety for Utility in LLM Search Agents](https://md.research.elamur.ai/free/en/papers/zhan-2026-safesearch-do-not-trade-safety/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qiusi Zhan, Angeline Budiman-Chan, Abdelrahman Zayed, et al.*2026 · 1 citation*

## Co-authors here

5 co-authors with a page, the most papers together first.

- [Qiusi Zhan](https://md.research.elamur.ai/free/en/authors/qiusi-zhan/) ×2
- [Joo-Kyung Kim](https://md.research.elamur.ai/free/en/authors/joo-kyung-kim/)
- [Tatsunori Hashimoto](https://md.research.elamur.ai/free/en/authors/tatsunori-hashimoto/)
- [Xingzhi Guo](https://md.research.elamur.ai/free/en/authors/xingzhi-guo/)
- [Yuxuan Zhu](https://md.research.elamur.ai/free/en/authors/yuxuan-zhu/)

## Venues

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

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/), [Findings of the Association for Computational Linguistics 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/)
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2020](https://md.research.elamur.ai/free/en/venues/acl/2020/)
- [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/)
- Foundations and Trends® in Privacy and Security
- IEEE Security and Privacy Workshops (SPW)
- neural information processing systems

## Cited by

Papers of our library cite their works 320 times (of the 149,439 papers whose bibliographies we read); [77 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/daniel-d-kang/cited-by/).

Updated 31 October 2026