Security & privacy

AI researchers race to detect 'deepfake' videos: 'We are outgunned'

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.

Berkeley links up with Facebook, but wants to see tech giant’s accountability

Hany Farid and Alexei Efros, with the Facebook logo

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.

Protecting health data privacy

Graphic of health tools on portable device

5/1/2019 Artificial intelligence can identify individuals by correlating step data from activity trackers and smartphones with demographic data.

How malevolent machine learning could derail AI

Dawn Song speaking at the EmTech Digital conference

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.

Activism 2.0: Coding against sex trafficking

Thumbnail of video: Coding against Sex Trafficking

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.

Artificial intelligence opens health data privacy to attack

robotic finger on computer keyboard

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.

Berkeley researchers to help develop trustworthy machine learning systems

Cybersecurity abstract mage

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.

The latest course catalog trend? Blockchain 101

Students in lecture hall

9/19/2018 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.

Calling out fake photos on the web

Illustration of fake photo detection

8/21/2018 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.

'Location history' off? Google's still tracking you

Map plotting location history of Google account user

8/17/2018 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.

Pages