Dan Boneh
Also known as דן בונה
Dan Boneh is a Stanford cryptographer whose security research reaches into adversarial training and AI coding assistants. He earned a PhD at Princeton in 1996 and joined the Stanford faculty in 1997. A 2013 Gödel Prize and a 2014 ACM Prize in Computing recognized his cryptography work. The National Academy of Engineering elected him in 2016. As of October 2026, he is the Rajeev Motwani Professor in the School of Engineering at Stanford.
Timeline
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1996
A Princeton doctorate
At Princeton in 1996, he earns a PhD in computer science under Richard J. Lipton.
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1997–1999
A Stanford faculty post
He joins the Stanford faculty in 1997. In 1999 he receives a fellowship from the David and Lucile Packard Foundation.
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2013–2014
Gödel and ACM prizes
He shares the 2013 Gödel Prize for multi-party Diffie–Hellman key exchange and the Boneh–Franklin scheme in cryptography. In 2014 the ACM Prize in Computing honors his work on pairing-based cryptography and its application in identity-based encryption.
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2016
Election to the NAE
The National Academy of Engineering elects him in 2016 for contributions to the theory and practice of cryptography and computer security.
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May 2017
Ensemble adversarial training
He co-writes Ensemble Adversarial Training: Attacks and Defenses with Ian Goodfellow and four others, first submitted to arXiv in May 2017.
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November 2022
AI coding assistants study
He and his team share the findings of a study titled Do Users Write More Insecure Code with AI Assistants? The preprint is first submitted to arXiv in November 2022.
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2025
Explanations for confidential models
He co-writes ExpProof, a paper on operationalizing explanations for confidential models with ZKPs, first submitted to arXiv in February 2025.
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As of October 2026
Professor at Stanford
He is the Rajeev Motwani Professor in the School of Engineering and a professor of electrical engineering at Stanford. He co-directs the Stanford Computer Security Lab.
Sources and credits
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- Dan Boneh - Wikipedia
- Dan Boneh's Profile | Stanford Profiles
- Gödel Prize - Wikipedia
- ACM Prize in Computing - Wikipedia
- [1705.07204] Ensemble Adversarial Training: Attacks and Defenses
- Ensemble Adversarial Training: Attacks and Defenses | ML Anthology
- Dan Boneh and team find relying on AI is more likely to make your code buggier | Stanford Electrical Engineering
- [2211.03622] Do Users Write More Insecure Code with AI Assistants?
- [2502.03773] ExpProof : Operationalizing Explanations for Confidential Models with ZKPs
- ExpProof : Operationalizing Explanations for Confidential Models with ZKPs | ML Anthology
- Dan Boneh | FSI