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Cyber Security and Privacy

2023 Engineers Week

ENGINEERS WEEK

Cyber Security and Privacy  

2023 Engineers Week

Tevfik Bultan and Giovanni Vigna

Security agents

UC Santa Barbara

Tevfik Bultan and Giovanni Vigna are part of a formidable group of professors in the Computer Science Department at UC Santa Barbara’s College of Engineering that take complementary approaches to security work.

Illustration showing how an attacker could cause a computer vision system to miscategorize objects it sees through the camera. Mislabeling one object might not be enough to make a bad decision but mislabeling several related objects will.

Protecting computer vision from adversarial attacks

UC Riverside

A team of researchers at UC Riverside’s Bourns College of Engineering are working on ways to foil attacks on computer vision systems.

A UC Merced researcher won a grant aimed at finding a way to reduce the amount of power needed for computing.

UC Merced-led research to focus on reducing power needed for computing

UC Merced

Working with researchers at UC Berkeley and UC Davis, Elizabeth Nowadnick, a professor in the department of materials science and engineering, will explore new classes of materials for enabling more energy-efficient computing.

UCLA's 'ultra secure' AI camera only records what it's programmed for

UCLA’s ‘ultra secure’ AI camera only records what it’s programmed for

UCLA

UCLA researchers have invented a new camera system that uses Artificial Intelligence to determine what to record.

Researchers at UC San Diego have developed a method to keep bots from using toxic language.

Cleaning up online bots’ act and speech

UC San Diego

Researchers at UC San Diego have developed a method to keep bots from using toxic language.

Athina Markopoulou

Privacy warrior

UC Irvine

Athina Markopoulou, professor of electrical engineering and computer science, shares insights on privacy and data transparency.

social media icons on phone

Just for you

UC Berkeley

A UC Berkeley-led research team revealed that certain recommender systems try to manipulate user preferences, beliefs, mood, and psychological state. In response, the researchers proposed a way for companies to choose algorithms that more closely follow a user’s natural preference evolution.

A graphical abstract of federated analysis shows how the process moves from software development at the UCSC Genomics Institute to variant classification.

New responsible data sharing technique will enable better understanding of disease-causing genetic variants

UC Santa Cruz

Scientists may better understand and test for the genetic variations that cause cancer and other heritable diseases through the application of a novel strategy for securely sharing and analyzing genomic data developed at the UC Santa Cruz Genomics Institute.

Good AI vs Bad AI graphic

Good AI vs. Bad AI

UC Davis

An interdisciplinary group of UC Davis researchers are developing “good AI” to empower users with more control over their privacy and the content they’re recommended.

Yonatan Gizachew Achamyeleh, UCI Ph.D. student in electrical engineering and computer science (left); Mohammad Al Faruque, UCI professor of electrical engineering and computer science (center); and Anomadarshi Barua, UCI Ph.D. candidate in electrical engineering and computer science

UCI researchers demonstrate how to trigger a pathogen release with music

UC Irvine

UCI researchers have discovered that the safe operation of a negative pressure room – a space in a hospital or biological research laboratory designed to protect outside areas from exposure to deadly pathogens – can be disrupted by an attacker armed with little more than a smartphone.

Amit Sahai, professor of computer science at UCLA Samueli School of Engineering

UCLA computer scientist explains zero-knowledge proofs as a way to improve cybersecurity and privacy

UCLA

Featured on WIRED’s “5 Levels” video series, UCLA Computer Science Professor Amit Sahai explained in five levels of complexity the highly intriguing concept of proving to someone that you know the answer to a problem without disclosing the source.

Raluca Ada Popa, associate professor of electrical engineering and computer sciences (Photo by Adam Lau/Berkeley Engineering)

For your eyes only

UC Berkeley

In a study led by Raluca Ada Popa, associate professor of electrical engineering and computer sciences, and Ph.D. student Jean-Luc Watson, they outline their innovative privacy-preserving approach to machine learning.