David A. Wagner

{{short description|American computer scientist (born 1974)}}

{{Infobox scientist

| image = David-Wagner.jpg

| image_size =

| name = David A. Wagner

| caption =

| birth_date = {{birth-date|1974}}

| doctoral_advisor = Eric Brewer

| alma_mater = University of California, Berkeley (PhD)

| known_for = cryptanalysis, cipher design, electronic voting

| occupation = Professor, University of California, Berkeley

| website = http://www.cs.berkeley.edu/~daw/

}}

David A. Wagner (born 1974) is a professor of computer science at the University of California, Berkeley and a well-known researcher in cryptography and computer security. He is a member of the Election Assistance Commission's Technical Guidelines Development Committee, tasked with assisting the EAC in drafting the Voluntary Voting System Guidelines. He was also a member of the ACCURATE project.

Biography

Wagner received an A.B. in mathematics from Princeton University in 1995, an M.S. in computer science from Berkeley in 1999, and a Ph.D. in computer science from Berkeley in 2000. He joined the faculty of Berkeley after graduation, became a Full Professor in 2010, and was chair of the Computer Science Department from 2020 to 2022.{{Cite web |date=2022-08-02 |title=Our Leadership {{!}} EECS at UC Berkeley |url=https://eecs.berkeley.edu/people/leadership/ |access-date=2024-02-29 |archive-url=https://web.archive.org/web/20220802082252/https://eecs.berkeley.edu/people/leadership/ |archive-date=2022-08-02 }} He has received awards for his teaching.{{Cite web |title=Faculty Awards {{!}} Faculty Awards {{!}} EECS at UC Berkeley |url=https://www2.eecs.berkeley.edu/Faculty/Awards/index.html#342 |access-date=2024-02-29 |website=www2.eecs.berkeley.edu}}

Research

Wagner has published two books and over 200 peer-reviewed scientific papers.{{Cite web |title=dblp: David A. Wagner 0001 |url=https://dblp.org/pid/42/5626.html |access-date=2024-02-29 |website=dblp.org |language=en}} His notable achievements include:

  • 2017 Development of the Carlini-Wagner attack on machine learning models (with Nicholas Carlini); used it to break 20 adversarial machine learning defenses.

References

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