Research & Innovation

Global: FlexProofs Introduces Vector Commitment Scheme with Linear-Time Proof GenerationResearchers Jing Liu and Liang Feng Zhang announced a new vector commitment (VC) scheme called FlexProofs in a paper submitted to…

Global: Server-Side Debiasing Method EquFL Reduces Fairness Loss in Federated LearningA new server‑side technique called EquFL has been introduced to address fairness concerns in federated learning systems. The method generates…

Global: PromptScreen Demonstrates High-Accuracy, Low-Latency Defense Against LLM Prompt AttacksBackground and MotivationResearchers have introduced PromptScreen, a defense architecture designed to mitigate prompt injection and jailbreaking attacks targeting large language model…

Global: Transformer-Based Graph Model Boosts Network Anomaly Detection AccuracyA new transformer‑based graph foundation model, called CyberGFM, has been presented as a method for detecting network anomalies, achieving up to 2×…

Global: Study Introduces Framework to Assess Memecoin Ecosystem FragilityResearchers have unveiled the Memecoin Ecosystem Fragility Framework (ME2F), a three‑dimensional model designed to quantify risk factors specific to meme‑driven cryptocurrency assets.…

Global: Study Reveals Agentic LLMs Can Re-Identify Individuals in Public Interview DatasetResearchers have demonstrated that widely available large language models (LLMs) equipped with web‑search and agentic capabilities can link anonymized…

Global: Study Evaluates GPT-5’s Ability to Assess Smart Contract PropertiesResearchers have conducted a systematic empirical evaluation of GPT-5, a cutting‑edge reasoning large language model, to determine whether it can assess…

Global: Game-Theoretic Guidance Layer Improves AI Penetration Testing Performance Researchers have introduced a game-theoretic guidance layer designed to enhance AI-driven penetration testing, reporting notable gains in success rates, speed, and…

Global: Survey Evaluates Gradient Inversion Attacks in Federated LearningIn a March 2025 arXiv preprint, researchers present a systematic review of gradient inversion attacks (GIAs) that target federated learning (FL) systems,…

Global: Encrypted Time Series Change-Point Detection Achieves Real-Time PerformanceBreakthrough in Privacy-Preserving AnalyticsA new method enables change-point detection on encrypted time series without ever decrypting the data, according to researchers Federico…