PeopleofSuperintelligence

Researcher

Anthony D. Joseph

Anthony Joseph is a Berkeley computer scientist whose work spans secure machine learning, genomics and systems research for AI in production. At MIT, he earned a master’s in electrical engineering and computer science and a bachelor’s in computer science and engineering in 1988, then completed a computer science doctorate in 1998 and joined UC Berkeley EECS. He received an NSF CAREER award in 2000 and was a Nokia Foundation Visiting Fellow in 2004, then directed Intel Labs Berkeley from 2008 to 2011. He coauthored a 2006 study of attacks on statistical learning, a 2017 report on AI systems, and the 2019 book Adversarial Machine Learning. As of October 2026, he is a Chancellor’s Professor and Faculty Director of Berkeley’s Fung Institute, and serves as Special Advisor to the Chancellor and Cybersecurity Responsible Executive.

Works
198
Citations
35,751
h-index
54
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 1988–1998

    MIT degrees

    At MIT, he earns an S.M. in electrical engineering and computer science and an S.B. in computer science and engineering in 1988. He completes a computer science Ph.D. there in 1998.

  2. 1998–2000

    Berkeley faculty and NSF award

    He joins UC Berkeley’s EECS faculty in 1998 and receives the NSF Faculty Early Career Development Award (CAREER) in 2000.

  3. 2004

    Nokia Foundation fellowship

    He is a Nokia Foundation Visiting Fellow in 2004.

  4. 2006

    Can Machine Learning Be Secure?

    In 2006, he coauthors “Can Machine Learning Be Secure?”, a poster presented at the NSF Trust Site Visit. The paper examines vulnerabilities attackers can exploit in statistical learning systems and discusses defenses.

  5. 2008–2011

    Intel Labs Berkeley director

    He takes industrial leave as Director of Intel Labs Berkeley from fall 2008 to spring 2011.

  6. 2017

    AI systems challenges

    In 2017, he coauthors A Berkeley View of Systems Challenges for AI. The report describes AI’s shift from research labs to production and proposes research directions in systems, architectures and security.

  7. 2019

    Adversarial machine learning book

    In 2019, he coauthors Cambridge University Press’s Adversarial Machine Learning with Blaine Nelson, Benjamin I. P. Rubinstein and J. D. Tygar. It covers data poisoning, attacks on classifiers and defenses for robust machine learning.

  8. As of October 2026

    Professor and cybersecurity adviser

    As of October 2026, he is a Chancellor’s Professor in Electrical Engineering and Computer Science at UC Berkeley and Faculty Director of the Fung Institute for Engineering Leadership. He serves as Special Advisor to the Chancellor and Cybersecurity Responsible Executive; his research includes secure machine learning and genomics.

Career

  1. Since 1998University of California, BerkeleyEECS faculty; Chancellor's Professor; Special Advisor to the Chancellor; Cybersecurity Responsible Executive
  2. 2008–2011IntelDirector

Education

  1. 1998Massachusetts Institute of TechnologyS.M.; S.B.; Ph.D.

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

  1. 84% of people shaping AI with recorded undergraduate and doctoral schools changed institutions for their doctorateIncludes Anthony D. Joseph. 84% of people shaping AI with recorded undergraduate and doctoral schools changed institutions for their doctorate. Across 2,116 people with both an undergraduate degree and a doctorate recorded, we trace which undergraduate schools feed which doctoral programs, how often students stay at the same school, and how paths differ by birth-country region.
  2. 11% of AI doctorate holders from 2010 to 2016 founded or led a company or lab by 10 years after graduationIncludes Anthony D. Joseph. We estimate how often AI doctorate holders founded or led a company or lab by 10 years after graduation, how waiting times compare between founders and top jobs, and which universities trained the most.
  3. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes University of California, Berkeley. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  4. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes University of California, Berkeley. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Anthony D. Joseph yet. Send us a free-licensed photo.

  1. Anthony D. Joseph | EECS at UC Berkeley www2.eecs.berkeley.edu. Checked 21 October 2026.
  2. Anthony D. Joseph - Fung Institute for Engineering Leadership funginstitute.berkeley.edu. Checked 21 October 2026.
  3. Can Machine Learning Be Secure? ptolemy.berkeley.edu. Checked 21 October 2026.
  4. Past Courses Taught & Future Plans for Anthony D. Joseph people.eecs.berkeley.edu. Checked 21 October 2026.
  5. A Berkeley View of Systems Challenges for AI arxiv.org. Checked 21 October 2026.
  6. Adversarial Machine Learning cambridge.org. Checked 21 October 2026.
  7. Leadership - University of California, Berkeley berkeley.edu. Checked 21 October 2026.
  8. Anthony Joseph | Center for Computational Biology ccb.berkeley.edu. Checked 21 October 2026.