Tootfinder

Detection of ransomware attacks using federated learning based on the CNN model
Hong-Nhung Nguyen, Ha-Thanh Nguyen, Damien Lescos
https://arxiv.org/abs/2405.00418

Detection of ransomware attacks using federated learning based on the CNN model
Computing is still under a significant threat from ransomware, which necessitates prompt action to prevent it. Ransomware attacks can have a negative impact on how smart grids, particularly digital substations. In addition to examining a ransomware detection method using artificial intelligence (AI), this paper offers a ransomware attack modeling technique that targets the disrupted operation of a digital substation. The first, binary data is transformed into image data and fed into the convolu…

User seeking information on the initial access point of the Panera Bread ransomware attack. Finds Google search results unhelpful. https://reddit.com/r/cybersecurity/comments/1cif778/

This https://arxiv.org/abs/2311.04694 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Evaluating Generative Ad Hoc Information Retrieval
Recent advances in large language models have enabled the development of viable generative retrieval systems. Instead of a traditional document ranking, many generative retrieval systems directly return a grounded generated text as an answer to an information need expressed as a query or question. Quantifying the utility of the textual responses is essential for appropriately evaluating such generative ad hoc retrieval. Yet, the established evaluation methodology for ranking-based retrieval is …

Another #warcrime from the world's least democratic (if you are not Israeli) and most brutal army.
https://www.theguardian.com/world/2024/apr

A significant wildfire in Texas has resulted in one fatality, prompted evacuations, disrupted electrical services, and temporarily halted activities at a nuclear facility. The fire has consumed 1.1 million acres near Amarillo, ranking as the second-largest in U.S. history.
Governor Greg Abbott has declared a state of disaster in 60 counties. The fire, fueled by dry vegetation, high temperatures, and strong winds, is only 3% contained.
In Hutchinson County, an 83-year-old woman, J…

Texas under fire: The wildfire is already the second largest in US history - International Monitor
A significant wildfire in Texas has resulted in one fatality, prompted evacuations, disrupted electrical services, and temporarily halted activities at a nuclear facility.

This https://arxiv.org/abs/2404.16895 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csET_…

QuERLoc: Towards Next-Generation Localization with Quantum-Enhanced Ranging
Remarkable advances have been achieved in localization techniques in past decades, rendering it one of the most important technologies indispensable to our daily lives. In this paper, we investigate a novel localization approach for future computing by presenting QuERLoc, the first study on localization using quantum-enhanced ranging. By fine-tuning the evolution of an entangled quantum probe, quantum ranging can output the information integrated in the probe as a specific mapping of distance-r…

This https://arxiv.org/abs/2403.17719 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Resolution Limit of Single-Photon LiDAR
Single-photon Light Detection and Ranging (LiDAR) systems are often equipped with an array of detectors for improved spatial resolution and sensing speed. However, given a fixed amount of flux produced by the laser transmitter across the scene, the per-pixel Signal-to-Noise Ratio (SNR) will decrease when more pixels are packed in a unit space. This presents a fundamental trade-off between the spatial resolution of the sensor array and the SNR received at each pixel. Theoretical characterization…

Another #warcrime from the world's least democratic (if you are not Israeli) and most brutal army.
https://www.theguardian.com/world/2024/apr

This https://arxiv.org/abs/2401.04971 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

A Survey on Cross-Domain Sequential Recommendation
Cross-domain sequential recommendation (CDSR) shifts the modeling of user preferences from flat to stereoscopic by integrating and learning interaction information from multiple domains at different granularities (ranging from inter-sequence to intra-sequence and from single-domain to cross-domain). In this survey, we first define the CDSR problem using a four-dimensional tensor and then analyze its multi-type input representations under multidirectional dimensionality reductions. Following tha…

This https://arxiv.org/abs/2308.02887 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

The Impact of Group Membership Bias on the Quality and Fairness of Exposure in Ranking
When learning to rank from user interactions, search and recommender systems must address biases in user behavior to provide a high-quality ranking. One type of bias that has recently been studied in the ranking literature is when sensitive attributes, such as gender, have an impact on a user's judgment about an item's utility. For example, in a search for an expertise area, some users may be biased towards clicking on male candidates over female candidates. We call this type of bias group memb…