Research & Innovation

Global: Novel Gradient-Based Defense GShield Enhances Federated Learning RobustnessA team of machine learning researchers has unveiled a new defense mechanism called GShield designed to counter data‑poisoning attacks in federated learning…

Global: Cross-Domain Attacks Enable Hypervisor Compromise via Guest Memory ReuseA team of computer security researchers announced a new study on arXiv in December 2025 that systematically characterizes a class of…

Global: Researchers Unveil ReGAIN Framework for Transparent Network Traffic AnalysisA new multi‑stage framework designed to improve the accuracy and interpretability of network traffic analysis was detailed in a recent arXiv…

Global: Researchers Reveal Topic-FlipRAG Attack Targeting Opinion Generation in Retrieval-Augmented LLMsIn a February 2025 arXiv preprint (arXiv:2502.01386), a team of researchers introduced Topic-FlipRAG, a two‑stage adversarial pipeline designed to manipulate…

Global: New Pretraining Technique Boosts Multi‑Label Text ClassificationA new technique called PLANT (Pretrained and Leveraged Attention) has been introduced to improve attention mechanisms in extreme multi‑label text classification models. The…

Global: PayPal and NVIDIA Deploy Fine-Tuned Nemotron Model to Accelerate Commerce Agent Performance In December 2025, researchers from PayPal and NVIDIA announced the development of an enhanced version of PayPal’s…

Global: Formula-Generated Images Match Large-Scale Real Datasets in Vision Transformer Pre-TrainingA team of researchers released a preprint on arXiv in June 2022 demonstrating that formula-driven supervised learning (FDSL) can achieve…

Global: Synthetic Images Match Large-Scale Real Datasets in Vision Transformer PretrainingA team of researchers posted a paper on arXiv in June 2022 showing that formula-driven supervised learning (FDSL) can achieve…

Global: AnchorGK Enhances Spatio-Temporal Kriging AccuracyResearchers introduced AnchorGK, an anchor‑based incremental and stratified graph learning framework designed to improve inductive spatio‑temporal kriging in sensor networks. The method addresses the sparse…

Global: AnchorGK Introduces Anchor-Based Stratified Graph Learning for Spatio-Temporal KrigingResearchers have unveiled a new framework called AnchorGK that targets the longstanding difficulty of spatio‑temporal kriging in sensor networks, where sparse…