# Nicholas Carlini

> machine learning researcher

**Wikidata**: [Q50219388](https://www.wikidata.org/wiki/Q50219388)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Nicholas_Carlini)  
**Source**: https://4ort.xyz/entity/nicholas-carlini

## Summary  
Nicholas Carlini is an American artificial‑intelligence researcher who specializes in machine learning. He earned his Ph.D. in computer science from the University of California, Berkeley, and currently works as a researcher at Google DeepMind.

## Biography  
- **Born:** 1990 (circa)  
- **Nationality:** United States (inferred from education and affiliations)  
- **Education:** Ph.D. in Computer Science, University of California, Berkeley (completed 2018) – doctoral advisor: David A. Wagner  
- **Known for:** Advancing the security and robustness of machine‑learning systems  
- **Employer(s):** Google DeepMind (current)  
- **Field(s):** Machine learning, artificial intelligence  

## Contributions  
Nicholas Carlini has produced a substantial body of peer‑reviewed research that explores the vulnerabilities of modern machine‑learning models and proposes defenses against adversarial attacks. His publications, many co‑authored with leading experts, have been cited across academia and industry, influencing the design of more secure AI systems. Carlini maintains an open‑source GitHub repository (username **carlini**) where he releases code and datasets that accompany his papers, enabling reproducibility and further experimentation by the research community. Through his role at Google DeepMind, he contributes to internal projects that aim to embed robustness and safety considerations into large‑scale AI products. His work is regularly presented at top conferences such as NeurIPS, ICML, and ICLR, and it has helped shape emerging standards for AI security and trustworthy deployment.

## FAQs  
### Q: What does Nicholas Carlini research?  
A: He focuses on the security, robustness, and reliability of machine‑learning models, investigating how they can be attacked and how to defend them.  

### Q: Where does Nicholas Carlini work?  
A: He is a researcher at Google DeepMind, the artificial‑intelligence subsidiary of Alphabet Inc.  

### Q: What is Nicholas Carlini’s educational background?  
A: He earned a Doctor of Philosophy in Computer Science from the University of California, Berkeley in 2018, under the supervision of David A. Wagner.  

## Why They Matter  
Carlini’s investigations into adversarial machine‑learning attacks have highlighted fundamental weaknesses in widely deployed AI systems, prompting both academia and industry to prioritize robustness as a core design principle. By publishing reproducible research and open‑source tools, he has lowered the barrier for other scientists to explore and mitigate these vulnerabilities, accelerating progress toward safer AI. His contributions have informed the development of defensive techniques that are now incorporated into commercial products and research roadmaps, making AI applications more trustworthy for users worldwide. Without his work, many of the current best‑practice guidelines for AI security would have emerged later, leaving systems more exposed to manipulation.  

## Notable For  
- Ph.D. from UC Berkeley (2018) under renowned cryptographer David A. Wagner.  
- Researcher at Google DeepMind, contributing to AI safety and robustness initiatives.  
- Author of highly cited papers on adversarial machine‑learning attacks and defenses.  
- Maintainer of an active open‑source GitHub repository (carlini) supporting reproducible AI security research.  
- Recognized as a leading voice in the intersection of machine learning and security.  

## Body  

### Early Life and Education  
Nicholas Carlini was born circa 1990. He pursued computer‑science studies at the University of California, Berkeley, where he completed his doctoral research in 2018. His dissertation work, supervised by David A. Wagner, examined cryptographic and security aspects of machine‑learning algorithms.  

### Academic Contributions  
- **Peer‑reviewed publications:** Carlini has authored numerous papers presented at premier conferences (NeurIPS, ICML, ICLR).  
- **Research focus:** The majority of his work investigates how subtle perturbations can cause ML models to misbehave and how to construct robust defenses.  
- **Citations and impact:** His studies are frequently referenced in subsequent security‑focused AI research, indicating broad influence.  

### Open‑Source and Community Engagement  
- **GitHub (carlini):** Hosts code, datasets, and evaluation scripts that accompany his research, facilitating replication and extension by other scholars.  
- **Public outreach:** Maintains a personal website (https://nicholas.carlini.com/) that aggregates his publications, talks, and resources for the AI community.  

### Industry Role at Google DeepMind  
At DeepMind, Carlini applies his expertise to internal AI projects, ensuring that large‑scale models incorporate robustness safeguards. He collaborates with cross‑functional teams to translate academic findings into production‑ready security measures.  

### Influence and Legacy  
Carlini’s work has helped define the modern threat model for AI systems, prompting the creation of new evaluation benchmarks and influencing policy discussions around AI safety. Researchers worldwide build upon his methodologies, and industry practitioners adopt his defensive strategies to protect real‑world applications.  

## Schema Markup  
```json
{
  "@context": "https://schema.org",
  "@type": "Person",
  "name": "Nicholas Carlini",
  "jobTitle": "Artificial Intelligence Researcher",
  "worksFor": {
    "@type": "Organization",
    "name": "Google DeepMind"
  },
  "nationality": {
    "@type": "Country",
    "name": "United States"
  },
  "birthDate": "1990",
  "alumniOf": [
    {
      "@type": "EducationalOrganization",
      "name": "University of California, Berkeley"
    }
  ],
  "knowsAbout": [
    "Machine learning",
    "Artificial intelligence"
  ],
  "sameAs": [
    "https://en.wikipedia.org/wiki/Nicholas_Carlini"
  ],
  "description": "Nicholas Carlini is an American AI researcher known for his work on the security and robustness of machine‑learning systems."
}