ENGINEERS WEEK 2023
Cyber Security and Privacy
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.
A team of researchers at UC Riverside’s Bourns College of Engineering are working on ways to foil attacks on computer vision systems.
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 researchers have invented a new camera system that uses Artificial Intelligence to determine what to record.
UC San Diego
Researchers at UC San Diego have developed a method to keep bots from using toxic language.
Athina Markopoulou, professor of electrical engineering and computer science, shares insights on privacy and data transparency.
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.
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.
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.
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.
UCLA computer scientist explains zero-knowledge proofs as a way to improve cybersecurity and privacy
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.
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.