Research & Innovation

Global: New Framework FraudCoT Boosts Graph-Based Fraud Detection Efficiency and Accuracy A team of computer scientists has introduced FraudCoT, a unified framework designed to improve fraud detection on text-attributed graphs…

Global: Researchers Unveil CloudFix Framework for Automated Repair of Cloud Access PoliciesIn a recent preprint posted to arXiv (ID 2512.09957), a team of computer scientists introduced CloudFix, an automated system…

Global: Researchers Release RealSec-bench to Measure Secure Code Generation by Large Language ModelsIn a 2026 preprint, a team of computer science researchers introduced RealSec-bench, a benchmark designed to evaluate how…

Global: New Multi-bit Distortion-Free Watermark Enhances LLM Attribution AccuracyResearchers have introduced MirrorMark, a multi-bit, distortion‑free watermarking technique for large language models (LLMs), in a preprint posted to arXiv in January…

Global: Study Calls for Model-Centric Privacy Evaluation of Synthetic Tabular DataA new research paper posted on arXiv on January 2026 examines how synthetic tabular data generated by machine‑learning models may…

Global: Systematic Review of Prompt Injection Mitigations in Generative AIResearchers have conducted the first systematic literature review of prompt injection mitigation strategies for large language models, analyzing 88 studies to…

Global: Researchers Introduce VocBulwark Framework for Robust Generative Speech WatermarkingOn January 30, 2026, a team of scholars—Weizhi Liu, Yue Li, and Zhaoxia Yin—submitted a paper to arXiv describing a novel approach called…

Global: Study Reveals Fine-Tuned LLMs May Rely on Functional Patterns Over True Vulnerability ReasoningResearchers publishing on arXiv in January 2026 report that fine‑tuned large language models (LLMs) often achieve high…

Global: Red-Teaming Google’s Agent Payments Protocol Reveals Prompt Injection VulnerabilitiesResearchers Tanusree Debi and Wentian Zhu submitted a study on January 30, 2026 that demonstrates how prompt‑injection techniques can compromise Google’s…

Global: Study Reveals Potential Privacy Risks in Compressed Image EmbeddingsResearchers introduced a new inference framework to assess the privacy implications of compressed image embeddings in a paper posted to arXiv…