Portraits of two men, one in button-down light blue shirt, the other in casual button-down light green, short-sleeve short.
Peng Gao (left) and Bimal Viswanath. Photos by Tonia Moxley for Virginia Tech.

Hi Cardinal readers, and thanks for scoping the latest edition of Tech Briefs, a weekly batch of items covering the digital and life sciences landscapes. The roundup goes live on Wednesdays.

Got tips and/or questions? Reach out to me via tad@cardinalnews.org.

Hackersโ€™ work stealing, exploiting images is cheaper, simpler in generative AI eraย 

There is no guarantee that a hacker with store-bought artificial intelligence models and a knowledge of simple commands canโ€™t snag your publicly posted images for a myriad of unauthorized uses, a research team has found.

The team, led by Virginia Tech cybersecurity expert Bimal Viswanath, delivered findings in March during the Institute of Electrical and Electronics Engineersโ€™ Conference on Secure and Trustworthy Machine Learning in Munich, Germany, according to a university news release.

Once images are acquired, hackers can use them for artificial intelligence training, style mimicry and deepfake manipulations, according to the release.

โ€œWe stress the urgent need to develop robust defenses and establish that any future protection mechanism must be benchmarked against attacks from off-the-shelf GenAI models,โ€ Viswanath wrote with a Virginia Tech colleague, assistant professor Peng Gao; doctoral students Xavier Pleimling and Sifat Muhammad Abdullah; a University of Texas at San Antonio professor; and two professors from the Indian Institute of Technology, Kharagpur.

According to the paperโ€™s abstract, generative AI model advances have fostered the development of multiple strategies to protect images from unauthorized use. Those strategies employ so-called โ€œprotective perturbationsโ€ โ€” imperceptible sounds embedded onto images to thwart models from โ€œlearningโ€ and misusing them. Previously, attackers required made-to-order methods to neutralize such protections, but now someone can give a text prompt to an โ€œoff-the-shelf image-to-image GenAIโ€ model to โ€œdenoiseโ€ images.

In eight case studies with six diverse protection schemes, the teamโ€™s general-purpose attacks breached the noises better than more specialized attacks โ€œwhile preserving the imageโ€™s utility for the adversary,โ€ the documents read. โ€œOur findings reveal a critical and widespread vulnerability in the current landscape of image protection, indicating that many schemes provide a false sense of security.โ€

Read the entire paper online.

โ€œAs GenAI models continue to grow in capability, this threat will only become more severe,โ€ the team wrote. โ€œTherefore, we stress the urgent need for the research community to develop a new generation of robust protection schemes. We posit that resilience against this simple denoising attack must serve as a fundamental benchmark for any future defense mechanism.โ€

Entrepreneur Resource Center opens in Blacksburg

Virginia Tech Corporate Research Center leaders cut the ribbon Tuesday for a new hub focused on business founders in Blacksburg.

The Entrepreneur Resource Center, ERC for short, was designed to change how founders start, navigate and grow their businesses, VTCRC spokeswoman Danielle Akers said in a recent email.

โ€œAt a time when entrepreneurs are often navigating fragmented resources and unclear pathways, the ERC creates something different: a structured, accessible entry point into the innovation ecosystem,โ€ Akers wrote, describing it as one โ€œplace where ideas can gain traction, where founders can connect to the right people faster, and where momentum can turn into real companies.โ€

Programming, mentorship and connections to capital will be available at ERC, which is open to entrepreneurs at every stage, including faculty innovators and Virginia Tech alumni and students, as well as founders from the region, according to its website.ย 

Get more information, including a link to participate, at vtcrc.com/entrepreneur-resource-center.

Second state-funding round set for EV charging assistance

The Virginia Department of Energy has announced a new round of funding for electric vehicle charging infrastructure in the commonwealthโ€™s underserved communities, according to a department news release.

Applications are due June 30 to participate in a program designed to broaden access to EV supply equipment, fill gaps in charging availability and deliver community benefits meant to broaden EV adoption.ย 

Virginia Energy will make up to $510,000 available to applicants that include for-profit businesses and government-industry partnerships to purchase and install EV charging equipment in projects expected to continue through the end of 2027, according to the news release.

This is the second round of Electric Vehicle Charging Assistance Program funding, focusing on historically underserved areas, including financially and environmentally disadvantaged communities, brownfield sites and previously mined areas.

โ€œExpanding EV charging access in underserved communities is essential to ensuring that Virginiaโ€™s transportation future is reliable, practical, and accessible to everyone,โ€ said Michael Skiffington, Virginia Energyโ€™s acting director, in the news release. โ€œThrough this funding opportunity, Virginia Energy is working to support projects that meet community needs, strengthen local infrastructure, and help more Virginians benefit from the transition to cleaner transportation options.โ€

According to the release, funded projects would provide data on charging usage, operational performance, user accessibility, and economic and community impacts while complying with federal requirements.ย 

Deadline for applications through the Virginia Energy Grant Portal is due by 11:59 p.m. June 30. Questions submitted through the portalโ€™s help questions tab are due by June 23.

Tad Dickens is technology reporter for Cardinal News. He previously worked for the Bristol Herald Courier...