Research & Innovation

Global: Researchers Derive Scaling Laws for Covert Quickest Change DetectionA recent arXiv preprint investigates covert quickest change detection in discrete time, focusing on scenarios where an adversary knows the detector’s…

Global: Fractal Encryption Using Fourier Transforms Enhances Image Security and EfficiencyA new image encryption technique that combines fractal mathematics with Fourier transform operations has been introduced in a recent arXiv…

Global: Benchmarking Decentralized Identifier Performance Across Ethereum, Hedera, and XRP LedgerResearchers have conducted an empirical benchmarking study of decentralized identifier (DID) implementations on three major distributed ledger platforms—Ethereum, Hedera Hashgraph,…

Global: Study Finds Elevator Peer‑Sampling Protocol Vulnerable to Small Byzantine Presence, Proposes LIFT UpgradeResearchers evaluating decentralized network designs reported that the recently introduced Elevator peer‑sampling protocol can be compromised when…

Global: Reference-Free Spectral Method Detects Always-On Hardware Trojans via EM Side-Channel AnalysisResearchers Mahsa Tahghigh and Hassan Salmani introduced a reference‑free technique for identifying always‑on hardware Trojans using electromagnetic (EM) side‑channel…

Global: New Prompting Framework Boosts Phishing URL Detection with Large Language ModelsBackgroundResearchers at the University of Sydney have introduced a novel prompting strategy called Least-to-Most to improve the classification of…

Global: SemBind Introduces Semantic Masking to Counter Black‑Box Watermark Forgery in Latent Diffusion ModelsA new defense framework called SemBind has been presented to counter black‑box watermark forgery attacks on latent…

Global: Study Examines Soft-Error Resilience of Large Language Model Inference on GPUsResearchers from an unnamed institution conducted an instruction-level fault injection study to assess how large language models (LLMs) behave…

Global: Machine Unlearning Cuts Direct Data Leakage in Code Generation Models by Over 50%Researchers have conducted the first large‑scale empirical assessment of machine unlearning as a privacy safeguard for large…

Global: Virtual Workshop Explores Privacy-Preserving Government Data SharingWorkshop OverviewA two‑day virtual workshop convened on May 21 and May 26, 2021, to examine how government agencies can share datasets while protecting…