This research dives deep into large-scale phishing campaigns aimed at Meta’s users. It offers a dual perspective on the technical mechanics and human elements involved. The study analyses data from…
Continue readingThe study focuses on finite-sum monotone inclusion problems, which are common in machine learning and model broad classes of equilibrium problems. The authors present variants of the classical Halpern iteration…
Continue readingThe article presents SemiReward, a new framework for semi-supervised learning (SSL). The main challenge of SSL is to distinguish high-quality pseudo labels against the confirmation bias. Current pseudo-label selection strategies…
Continue readingThis study focuses on the task of data annotation in Intensive Care Units (ICUs), a crucial aspect for implementing machine learning solutions in healthcare. The process of data annotation, which…
Continue readingThis article discusses a new system for pedestrian data collection that is designed to aid in research on social navigation and pedestrian-robot interactions. The system uses machine learning methods and…
Continue readingThe paper revisits Neural Program Smoothing (NPS) for fuzzing, a machine learning-guided fuzzing method, and conducts an extensive evaluation against standard gray-box fuzzers. The authors found that the original performance…
Continue readingThis study presents HuntGPT, a tool that integrates machine learning-based anomaly detection and Explainable AI (XAI) with Large Language Models (LLMs) for efficient threat hunting. Despite the effectiveness of machine…
Continue readingThe paper presents the Toloka Visual Question Answering, a crowdsourced dataset designed to test machine learning systems’ performance in grounding visual question answering tasks. These tasks involve drawing a bounding…
Continue readingThe research by Naver Labs Europe focuses on improving goal-oriented visual navigation through large-scale machine learning. The primary challenge lies in learning compact representations that can generalize to unseen environments…
Continue readingThe article discusses the development of a novel pipeline for automatic weapon detection using an ensemble of convolutional neural networks. This pipeline was created in response to the increasing prevalence…
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