11/20/23 — Berkeley researchers “probe the corrosive effects of algorithms, machine learning and other exotic technologies” and offer possible solutions
05/11/22 — EECS associate professor wins $35,000 prize as outstanding young computer professional for her design of secure distributed systems, protecting confidentiality against attackers while maintaining full functionality
02/16/21 — This is the consortium's third five-year, $25 million grant, allowing it to continue its mission of educating nuclear scientists and advancing nuclear technologies.
06/26/20 Futurism — Digital forensics expert and EECS professor Hany Farid lays out the greatest digital threats facing the country, and how to combat them
02/12/20 — Sanjam Garg, an assistant professor of electrical engineering and computer sciences (EECS), and Aditya Parameswaran, who has a joint appointment in EECS and the School of Information, were among nine Berkeley faculty members to win the prestigious research honor.
01/16/20 — Philippe Étienne said the quickening pace of technological change requires nations to immediately build “shared governance” of the internet through both existing and perhaps new global institutions.
11/18/19 New York Times — Electrical engineering and computer sciences professor Dawn Song, a leading expert in computer security and trustworthy artificial intelligence, is building a platform in which people control their own data online and are compensated for its use by corporations.
11/05/19 Los Angeles Times — Leaders in artificial intelligence are unveiling a tool to push back against deepfake videos, built in part on scanning software that UC Berkeley has been developing in partnership with the U.S. military.
10/25/19 — Computer science researchers are using groundbreaking machine learning technologies to expose deepfake videos, manipulated images and other types of digital deception.
06/13/19 Washington Post — EECS graduate student Shruti Agarwal and incoming professor Hany Farid argue that powerful new AI software has effectively democratized the creation of convincing “deepfake” videos, making it easier than ever to fabricate someone appearing to say or do something they didn't really do.
05/17/19 — Stung by bad press and government investigations, Facebook is investing $7.5 million in a partnership with three universities - UC Berkeley, Cornell and Maryland - to develop new methods to improve detection of fake content, fake news and misinformation campaigns. At Berkeley, the work will be led by EECS professors Hany Farid and Alexei Efros.