Security & privacy

Building a world where data privacy exists

Dawn Song in her office

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.

Moments of untruth

Photo illustration of Barack Obama, Mark Zuckerberg and Elizabeth Warren

10/25/2019 Computer science researchers are using groundbreaking machine learning technologies to expose deepfake videos, manipulated images and other types of digital deception.

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.

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