Researchers Arafin and Khasawneh are designing microarchitectural attacks that exploit power oversubscription to destabilize multi-tenant GPU servers. They are also developing defense mechanisms using hardware-software monitoring and load-balancing services.
Researchers at Graz University of Technology discovered vulnerabilities in file notification systems of various operating systems, allowing tracking of user activities, keystrokes, and password prompts. Patches have been rolled out to address some of the vulnerabilities, but users are still advised to be cautious.
Florida International University will become the first university in Florida to acquire a full-stack, trapped-ion quantum computer, thanks to an agreement with IonQ. The Superion 256 quantum computer is expected to arrive in late 2027, adding to the state's emerging quantum computing capabilities.
The study establishes a bidirectional trust framework for AI and blockchain interactions, addressing key issues like identity, permission, and intent-based execution. The framework identifies unfinished standards and security questions, highlighting the need for further research to ensure secure and autonomous systems.
Robert Loredo's new book, 'Quantum Readiness for Leaders,' offers a practical guide for business and technology leaders to navigate the opportunities and challenges of quantum technology. The book provides frameworks for evaluating quantum opportunities, building quantum teams, and preparing security architectures.
This technology introduces a method to enhance neural network security by applying weight perturbations during training, preventing unauthorized access and attacks. It strengthens model integrity across all layers, ensuring holistic protection against various attacks.
University of Tennessee MSE faculty members Sergei Kalinin and Mahshid Ahmadi contribute to the DOE's Genesis Mission, a $5 billion program developing AI tools for energy and scientific research. Kalinin's research accelerates materials discovery, while Ahmadi works on defending agentic AIs from adversarial attacks.
Researchers from San Diego State University, Arizona State University, and University of Utah will develop a national community resource for computing and sharing private data. The project aims to make data sharing easier while protecting sensitive information.
Graphene diffractive zone plates can produce wavelength-dependent focal and interference patterns that serve as physical responses. AI analysis transforms these patterns into compact binary security responses.
The new MSc Computer Science with Artificial Intelligence programme equips learners with advanced technical knowledge and practical skills in AI. The programme combines Heriot-Watt's academic expertise with flexible online delivery, enabling learners worldwide to study alongside work and other commitments.
A new partnership will provide access to a constantly evolving training environment, enabling the development of practical cyber skills and strengthening connections between education, research, industry, and defence. The partnership aims to build Australia's sovereign cyber capability and ensure resilience in the face of evolving cybe...
As large crowds gather for the funeral, authorities prepare for potential cyberattacks, including phishing, disinformation campaigns, and denial-of-service attacks. Experts like Basel Katt believe the risk of attacks increases due to the event's attention and resources.
WPI researchers Fatemeh Ganji and Fanglin Che have been awarded NSF CAREER Awards to develop privacy-preserving neural networks and an AI-enabled simulation framework for electrochemical technologies. Their research will lead to breakthroughs in cybersecurity and electrochemical technologies guided by AI.
A new machine-learning tool detects illicit stablecoin transactions with high accuracy, helping compliance teams to act on real threats while sparing innocent users. The tool separates distinct types of illicit behavior, such as cybercrime and sanctioned wallets, allowing for more targeted action.
Researchers Jianli Pan and Md Arafin are modernizing IoT/Edge cybersecurity research and curricula with a $500,000 NSF grant. They aim to prepare the US workforce to design and secure IoT and edge networks and devices.
A study by Aalto University reveals pro-Russian hackers are using 'gamified' DDoS attacks to undermine public trust in governments and institutions, with cryptocurrency-based rewards for successful attacks. The researchers urge companies and governments to counteract the effects of propaganda and psychological intimidation.
A new AI framework, AdvWT, uses realistic fading, cracks, and corrosion to test vulnerabilities in AI vision systems. It achieves near-perfect attack success rates on lightweight CNNs and transformer-based models, and can also be used to restore naturally damaged traffic signs.
Researchers at KAIST have developed a low-cost smartphone-based technology to detect hidden cameras by analyzing reflections from objects. The technology, called SweepLED, uses deep learning-based analysis to distinguish camera lenses from ordinary objects, achieving 94% detection accuracy. The technology has potential to be developed ...
A new study found that online review platforms can be vulnerable to cyberattacks, which can be triggered by analyzing users' review lengths and social connections. The researchers suggest adding noise to the data to reduce the risk of identity theft and phishing attacks.
Researchers at George Mason University are conducting a project to develop defense-in-depth cyber-physical security for AI data centers. The project, funded by the Virginia Innovation Partnership Authority, aims to enhance the security of AI data centers and protect against cyber-physical threats.
Researchers found that thieves can use stolen expired credit cards to make fraudulent charges by rewriting the expiration date. This loophole exists because credit card accounts do not expire with the physical card, and banks rely on the expiration date printed on the card for verification.
Tianhao Wang receives $677,866 CAREER Award to advance privacy-preserving data synthesis and protect sensitive information from being disclosed. His research aims to create realistic synthetic datasets that preserve useful patterns while protecting individual privacy.
A team of computer scientists at the University of California San Diego developed a device that can take over communications between two key flight computers on a Boeing 737 by plugging into an unused maintenance port. This attack can be carried out in under 60 seconds, posing a significant risk to aviation security.
The KAIST research team developed an explainable AI technology that detects patterns of foreign-linked influence operations in online news comments. The model identifies 23,998 accounts exhibiting patterns consistent with public-opinion manipulation, targeting division and confrontation within Korean society.
Researchers reveal a new attack surface exposed to malicious and compromised SIMs, allowing attackers to gather information about devices, interfere with connectivity, and serve as entry points for further cyberattacks. The study highlights four attacker scenarios leading to malicious or compromised SIMs and eSIMs.
NC State is leading three Genesis Mission projects using AI to accelerate discovery in high-performance computing, cybersecurity, and astrophysics. The projects focus on developing AI-powered tools for scientific research, defending agentic AI against adversarial attacks, and embedding AI techniques in large-scale simulations of neutro...
The VERITAS project establishes AI Assurance as a core function of scientific research infrastructure to document, review, and stress-test AI systems. It aims to develop practical methods for detecting vulnerabilities before they compromise scientific results.
A recent study from Duke University and industry collaborators found that at least 1% of resumes submitted to a popular hiring platform contained hidden instructions designed to trick the AI system. The trend is accelerating quickly, with the rate increasing sevenfold between July 2024 and November 2025.
Researchers at Worcester Polytechnic Institute are launching a three-year project to train high school teachers in quantum information science and cybersecurity. The program aims to inspire young people to pursue education and careers in emerging science and technology fields.
A Tulane University team is using AI to discover new superconductors, which could improve the nation's electrical grid, medical imaging, and quantum computing. The project combines high-fidelity calculations, physics-aware AI, and experimental measurements to accelerate discovery.
A study by UC San Diego researchers found that at least 2.2 million cars in the US and worldwide are vulnerable to theft due to a Bluetooth-based anti-theft system installed by dealers since 2017. The device, which can be controlled remotely via a smartphone app, has been fixed by the manufacturer with a firmware update.
The European Law Institute has approved its first comprehensive framework for dealing with digital assets and personal digital content after death. The rules provide a dual legal framework recognizing the need for protection, privacy, and dignity in digital inheritance.
A new brain-like electronic device consumes very little energy and detects novelties almost instantly, with over 98% accuracy. The device requires roughly 10,000 times fewer computer operations than conventional AI approaches, paving the way for more energy-efficient AI systems.
A team of researchers, led by Ying Zhang, has developed artificial intelligence-driven tools to identify and attack software vulnerabilities. By teaching AI to generate proof-of-concept exploits, developers can see exactly how attackers could exploit known flaws, motivating them to fix issues before malicious actors do.
Researchers have developed a federated learning algorithm that solves the long-standing conflict between robustness and efficiency in AI development. The new approach anonymizes data and reduces single-point failure risks while maintaining speed. By remembering past client interactions, servers can protect against malicious input.
Researchers developed SST-MedChain, a patient-centric framework for secure electronic medical record sharing on permissioned blockchains. The system uses non-interactive delegation, one-time access tokens, and policy-bounded re-delegation to reduce costly on-chain authorization while preserving traceability and revocation.
The new Ph.D. program in cybersecurity at Old Dominion University highlights the interdisciplinary nature of the field, incorporating emerging technologies like artificial intelligence. Students from diverse backgrounds are encouraged to contribute to advancing cybersecurity research and education.
Devadas pioneered the field of hardware security, making foundational contributions to Trusted Execution Environments (TEEs), Physical Unclonable Functions (PUFs), and Side Channel Resistant Processors. His innovations have shaped both academia and industry, safeguarding data in a digital world.
Researchers create PhishLumos AI system to detect phishing campaigns by analyzing infrastructure clues, achieving 8-day faster detection than experts. The system uncovered over 190,000 new links, with 92% later flagged as malicious, outperforming content-centric approaches.
A major security vulnerability was discovered, allowing attackers to fake their identity in smartphone text conversations by exploiting the difference between email and text message formats. The issue was patched in Android and Apple smartphones as well as all major wireless carriers, including Verizon and T-Mobile.
A team of NUS researchers has developed a self-testing quantum chip that generates certified random numbers while verifying its own measurement hardware's functionality. The chip, published in PRX Quantum, removes the trust assumption in traditional random number generators.
UT San Antonio's Jeff Prevost is appointed to the Texas Quantum Initiative Advisory Committee, guiding strategic investment and collaboration to advance the state's leadership in quantum research and technology development. The committee aims to develop a strategic plan supporting the growth of Texas' quantum economy.
SwRI's Intelligent Systems Division has achieved CMMI, ISO 9001, and CMMC certifications to demonstrate its commitment to delivering secure and reliable transportation solutions. The certifications validate SwRI's robust cybersecurity protections and quality management framework.
IMDEA Networks has secured four SNS JU projects to develop next-generation 6G networks in Europe. The projects address key challenges including sustainability, security and industrial transformation. IMDEA Networks is leading two of the projects with principal investigators Marco Fiore and Joerg Widmer.
A new study published in the Journal of Big Data highlights the journal's emergence as a leading publication in data science and artificial intelligence research. The study found that JBD has become a central hub for high-impact research worldwide, with significant contributions from top researchers.
The energy retail sector is a vulnerable part of the energy industry's value chain and critical infrastructure. A new study proposes concrete methods to strengthen cybersecurity resilience in retail organisations.
The investigation highlights the lack of research on AI toys' impact on early cognitive and socioemotional development, while also raising concerns over security risks and potential harm to minors. Experts advocate for mandatory labeling and regulation to ensure safer deployment of these devices.
Elisa Bertino, Purdue University professor, has been elected ACM President, aiming to strengthen the organization's role in promoting computing excellence. She plans to support early-career researchers, promote open access to publications, and expand ACM's reach globally.
The University of Texas System has invested over $470 million in capital projects supporting UT San Antonio's growth as a top public research university. These investments span research, innovation, infrastructure, technology, and patient care, with a focus on expanding the university's research capabilities and technology infrastructure.
A new code-reuse attack named SFOP exploits vulnerabilities in signal handling and Intel CET in Linux systems, achieving arbitrary code execution. The attack is enabled by 12 priorly unknown weaknesses that affect Linux signals, making it practicable across all programs running on a Linux system.
The Critical Infrastructure Security Institute (CISI) at Texas Tech University will advance research, innovation and collaboration in national security and critical infrastructure protection. The new site expands capacity for cutting-edge solutions to emerging security challenges.
Code reuse attacks exploit existing program components to inject malicious code, but PLaTypus restricts arbitrary transitions between libraries to prevent such attacks. This approach reduces the number of indirectly accessible functions by over 98% and causes less than 0.5% additional runtime overhead.
Machines with advanced AI capabilities are being developed to restore lost senses such as sight and sound, and even simulate touch and taste. This technology has the potential to revolutionize various fields like healthcare and education, but also raises serious concerns about privacy and manipulation.
Barua's project aims to advance predictive maintenance and diagnostics of naval subsystems using power signatures, without intrusive sensors. By extracting hidden load features from existing logs, they aim to improve current naval energy systems and develop new compressed sensing methods.
A study analyzing 100 million posts from underground cybercrime communities found that most cybercriminals lack the skills to use AI effectively, and its adoption has limited benefits for their work. However, AI coding assistants are mostly useful for already skilled actors, and poorly secured agentic AI systems pose a significant risk.
Researchers discovered that simple artificial intelligence tools can bypass security techniques meant to protect authentic content from use in deepfakes and facial identity theft. The study found that attackers can easily defeat existing image protection using off-the-shelf AI models and simple commands.
The report examines how generative AI tools are transforming software development, offering benefits such as increased productivity but also raising security vulnerabilities and technical debt. Strong software engineering practices are still required to ensure systems are secure, reliable, and maintainable.
A study by the University of Vaasa and Aalto University finds that mandatory cybersecurity disclosure in the US has increased internal documentation and made cyber risks more visible to senior management, but not affected investor behavior. Companies produced new content describing their cybersecurity governance structures, suggesting ...
Researchers at MIT developed a technique to overcome memory constraints and communication bottlenecks in federated learning, enabling faster and more accurate AI model training. The new framework, FTTE, uses a subset of model parameters and an asynchronous approach to reduce lag time and improve training performance.
Researchers at Texas A&M University created HIPPO, a browser extension that generates unique passwords for each website without storing them. Participants preferred HIPPO over traditional password tools for ease and security, reporting higher satisfaction rates.