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Explore how academic security research misuses CVE identifiers, revealing that 34% of claimed vulnerabilities lack confirmation and examining misconceptions in the review process.
Discover POPS, a novel DNS cache poisoning prevention system that integrates with IPS to detect and mitigate statistical attacks with zero false positives using simple rules and TC flag enhancement.
Discover DNS FLaRE, a cache-based timing attack exploiting DNS forwarders to infer website visits and IoT device activity through resolution time discrepancies.
Discover EmbedX, a novel cross-trigger backdoor attack using embedding vectors to manipulate large language models while maintaining stealth and preserving utility.
Discover FABLE, a system for efficient batched evaluation on confidential lookup tables in secure two-party computation, achieving up to 393× speedup over existing methods.
Explore authentication security and accessibility challenges for blind and visually impaired users through systematic evaluation of 50 academic schemes using the ALESA framework.
Uncover hardware cache side-channel vulnerabilities in local LLM inference that expose token values and positions, compromising user privacy through novel eavesdropping attacks.
Discover Dumbo-MPC, a breakthrough in asynchronous multi-party computation offering optimal resilience and guaranteed output delivery with efficient dual-mode offline protocols.
Explore how Stack Overflow's evolving code snippets impact security research stability and learn recommendations for treating it as time series data.
Explore the comprehensive analysis of zk-SNARKs, bridging theory and practice by examining 40+ schemes, 11 libraries, and identifying key gaps between research and industry implementation.
Discover how TORCHLIGHT exposes anonymous Tor-based attacks on cloudless IoT devices, revealing 45 vulnerabilities including 29 zero-day exploits affecting 12.71 million devices worldwide.
Explore AirTag anti-stalking features through research evaluating unwanted tracking notifications and locating capabilities across iOS and Android platforms.
Discover NÜWA, a static analysis technique that detects embedded system vulnerabilities by identifying constraint semantic inconsistencies, uncovering 152 new security flaws.
Discover how ZIP parser inconsistencies create security vulnerabilities across 50 implementations, enabling attacks on email gateways, documents, and applications.
Discover the first successful Rowhammer attack on NVIDIA GPUs, demonstrating how to exploit GDDR6 memory vulnerabilities to inject bit-flips and compromise ML model accuracy by up to 80%.
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