11/18/2019 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.
Security & privacy
11/5/2019 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.
10/25/2019 Computer science researchers are using groundbreaking machine learning technologies to expose deepfake videos, manipulated images and other types of digital deception.
6/13/2019 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.
5/17/2019 - 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.
5/1/2019 Artificial intelligence can identify individuals by correlating step data from activity trackers and smartphones with demographic data.
3/26/2019 MIT Technology Review - Berkeley Engineering AI security expert Dawn Song warns that “adversarial machine learning” could be used to reverse-engineer systems — including those used in defense.
1/30/2019 - UC Berkeley's ongoing video series on the intersection of social activism and technology profiles recent CS doctoral graduate Rebecca Sorla Portnoff, who uses her computer security know-how to help catch sex traffickers.
12/21/2018 - Current privacy laws and regulations are nowhere near sufficient to keep an individual’s health data private in the face of advances in artificial intelligence, according to a new study from IEOR professor Anil Aswani and his team.
10/24/2018 - Berkeley engineers, led by computer sciences professor Dawn Song, are part of the new Center for Trustworthy Machine Learning funded by the National Science Foundation. The NSF center, led by Pennsylvania State University and announced today, will focus on developing secure systems in the era of machine learning models. The center will receive $10 million over five years.