News by Subject Policy & Ethics

Cyber-physical systems (CPS), which combine modern networking with physical actuators, can be vulnerable against hackers. Recently, researchers at DGIST developed a new framework for CPSs that is resilient to a sophisticated kind of cyberattack. Unlike existing solutions, the proposed approach allows for real-time detection and recovery from the attack while ensuring stable operation. This paves the way for secure and reliable CPSs across various application domains, such as smart cities and unmanned public transportation.

In "Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images," researchers at the NYU Tandon School of Engineering led by Siddharth Garg, professor of electrical and computer engineering, explored whether private data could still be recovered from images that had been "sanitized" by such deep-learning discriminators as privacy protecting GANs (PP-GANs).

Every aspect of modern computing, from the smallest chip to the largest data center comes with a carbon price tag. The tech industry and the field of computation as a whole have focused on building smaller, faster, more powerful devices -- but few have considered their overall environmental impact. SEAS researchers are trying to change that by challenging the field to add carbon footprint to the list of metrics when designing new processes, new computing systems, new hardware, and new ways to use devices.

A Rice University computer science lab challenges -- and beats -- deep learning in a test to see if a new bioinformatics approach effectively tracks the lab of origin of a synthetic genetic sequence.

A Skoltech researcher has developed a theoretical model of wave formation in straits and channels that accounts for nonlinear effects in the presence of a coastline. This research can improve wave prediction, making maritime travel safer and protecting coastline infrastructure.