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UC Berkeley Deepfake Research

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people.eecs.berkeley.edu·people.eecs.berkeley.edu/~daw/

This is a faculty homepage for a UC Berkeley security researcher; the current tags referencing deepfakes and mental health appear to be incorrect metadata assignments, as the page is primarily about computer security and cryptography research.

Metadata

Importance: 30/100homepage

Summary

This is the personal faculty homepage of David Wagner, a prominent UC Berkeley computer science professor known for his work in computer security, cryptography, and privacy. The page likely provides links to his research publications, projects, and academic activities. His work is relevant to AI safety through its focus on adversarial robustness and security foundations.

Key Points

  • David Wagner is a leading researcher in computer security and cryptography at UC Berkeley's EECS department.
  • His research touches on adversarial machine learning, which has direct relevance to AI robustness and safety.
  • The page serves as a hub for accessing his publications, students, and ongoing research projects.
  • His work on security foundations informs technical approaches to building reliable and trustworthy AI systems.

Cited by 1 page

PageTypeQuality
AI-Induced Cyber PsychosisRisk37.0

Cached Content Preview

HTTP 200Fetched Apr 9, 20264 KB
David Wagner 
 

 

 
 
 

 

 
 David Wagner

Professor

Carl J. Penther Chair in Engineering

Computer Science Division

University of California, Berkeley

 
 
 

 

 Research interests. 
Computer security.
I am currently working on security for AI
(particularly security for large language models),
AI for security, and other topics in computer security.
I have previously worked on
 software security ,
 electronic voting ,
 wireless security ,
 sensor network security , and
 applied cryptography .

 Projects. 
My group page is here .
I'm part of Berkeley's
 security research group ,
a member of the
 ACTION Institute ,
and co-director of the KACST-UCB Joint Center on Cybersecurity.

 I was previously co-PI or PI for
 SCRUB ,
the Intel Science and
Technology Center for Secure Computing ,
and the DHOSA project,
and I was a member of the
 TRUST ,
 ACCURATE ,
 Science of Security , and
 ISAAC 
projects.

 Publications. My technical papers and
publications are all available online. 
 technical talks are also available, too.
-->

 Teaching. 
I'm currently teaching
 CS 261 in Spring 2026 .
See my past teaching .

 Students. 
I'm lucky to have the chance to work with a group of
outstanding graduate students, postdocs, and other researchers:
 Sizhe Chen ,
 Yiwei Hou ,
 Zhanhao Hu ,
 Dennis Jacob ,
 Muxi Lyu ,
 Julien Piet ,
 Rebecca Saul ,
and
 Yu-Lin Tsai .
See also the students I've graduated .

 Contacting me. 
See my contact information for my address
and other details. For Berkeley students, my office hours are
Mondays and Wednesdays, 2:30-3pm in 405 Soda / 733 Soda Hall.

 If you're contacting me to express interest in Ph.D. studies
in my group: all admissions decisions are made by the department
admissions committee. If you are interested in joining my group,
I encourage you to apply to the department's Ph.D. program.
I regretfully don't have capacity to meet with potential applicants
in advance. There is no need to contact me to express interest.

 If you're contacting me to inquire about an internship,
remote advising, or research collaboration:
for undergraduates, I only have opportunities for Berkeley students.
I don't have any opportunities for undergraduates at other schools,
and I don't have any opportunities for high school students at this time.

 Software. 
Our group releases code for many of our recent papers
 on Github .

 Also available:
 PrimeVul ,
a high-quality dataset of vulnerabilities in code;
 DiverseVul ,
a large dataset of vulnerabilities in code;
 SLIP ,
a multi-modal model for images and text;
 OpenCount ,
a tool to help with auditing of elections conducted using
optical-scan paper ballots;
 AuditBear ,
a web application for analyzing audit logs from ES&S iVotronic
voting machines;
 Joe-E ,
a Java-based programming language for secure programming;
 html-sanitizer-testbed ,
a suite of tests to probe the security of a HTML sanitizer;
and
 CQual++ ,
a tool for type inference analysis of C and C++ code.
 MOPS ,
a tool for verif

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