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.
03/26/19 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.
01/30/19 — 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.
12/21/18 — 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.
10/24/18 — 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.
09/19/18 Wired — From a course teaching students to think like blockchain entrepreneurs to "collider sprints" at the Sutardja Center's Blockchain Lab, Berkeley is at the forefront of universities incorporating this multidisciplinary technology into the curriculum.
08/21/18 Wired — Fake photos are the bane of internet junkies. SurfSafe, a browser plugin from RoBhat Labs (computer science undergrads Ash Bhat and Rohan Phadte), can warn users that they're viewing a Photoshopped fake in real time - like an antivirus for photos.
08/17/18 AP News — Computer science graduate student K. Shankari tipped the Associated Press off to the persistence of Google's movement tracking, even for users who explicitly tell the company not to do so.
05/10/18 New York Times — EECS Ph.D. candidate Nicholas Carlini and other Berkeley cybersecurity researchers have been embedding commands into music and spoken text that human listeners can't hear but smart devices can. Carlini hopes to secure AI systems against attacks that he assumes "malicious people" are already working on.