Tootfinder

Ukraine will receive new aid: Sweden, Germany, Latvia step up support: https://benborges.xyz/2025/07/05/ukraine-will-receive-new-aid.html

Quantifying Classifier Utility under Local Differential Privacy
Ye Zheng, Yidan Hu
https://arxiv.org/abs/2507.02727 https://arxiv.org…

Quantifying Classifier Utility under Local Differential Privacy
Local differential privacy (LDP) provides a rigorous and quantifiable privacy guarantee for personal data by introducing perturbation at the data source. However, quantifying the impact of these perturbations on classifier utility remains a theoretical challenge, particularly for complex or black-box classifiers. This paper presents a framework for theoretically quantifying classifier utility under LDP mechanisms. The key insight is that LDP perturbation is concentrated around the original da…

Tiny Latvia sends thousands of drones in heavyweight military aid to Ukraine - Euromaidan Press
https://euromaidanpress.com/2025/05/31/tiny-latvia-sends-thousands-of-drones-in-heavyweight-military-aid-to-ukraine/

Origineel bericht: https://bsky.app/profile/did:plc:22syuojtpliwbksbmhq7w6y4/post/3loh4ggi3gs2s

Heute Plenum des @Landtag_BW #ltbw - soweit ich mich erinnern kann, heute das erste Mal ohne Slots für Aktuelle Debatten. Statt dessen stehen einige Gesetze (u.a. die Medienstaatsverträge) und ein Antrag auf der Tagesordnung.

Adaptive recycled plastic architecture: Vacuum-Sealed Chainmail Structures Through Computational Design
Yi Xu, Farzin Lotfi-Jam, Mustafa Faruki
https://arxiv.org/abs/2506.04660

Adaptive recycled plastic architecture: Vacuum-Sealed Chainmail Structures Through Computational Design
The construction industry is a major consumer of raw materials, accounting for nearly half of global material usage annually, while generating significant waste that poses sustainability challenges. This paper explores the untapped potential of recycled plastics as a primary construction material, leveraging their lightweight, flexible, and customizable properties for advanced applications in modular chainmail systems. Through a computational workflow, the study optimizes the design, testing, a…

An Australian court finds ABC unlawfully terminated journalist Antoinette Lattouf in December 2023 for her social media posts opposing Israel's campaign in Gaza (The Guardian)
https://www.theguardian.com/media/2025/jun

Reliable Transmission of LTP Using Reinforcement Learning-Based Adaptive FEC
Liang Chen, Yu Song, Kanglian Zhao, Juan A. Fraire, Wenfeng Li
https://arxiv.org/abs/2506.22470

Reliable Transmission of LTP Using Reinforcement Learning-Based Adaptive FEC
Delay/Disruption Tolerant Networking (DTN) employs the Licklider Transmission Protocol (LTP) with Automatic Repeat reQuest (ARQ) for reliable data delivery in challenging interplanetary networks. While previous studies have integrated packet-level Forward Erasure Correction (FEC) into LTP to reduce retransmission time costs, existing static and delay-feedback-based dynamic coding methods struggle with highly variable and unpredictable deep space channel conditions. This paper proposes a reinfor…

Image-based physical characterization of magnetotactic bacteria from an environmental sample
Mara Smite, Mihails Birjukovs, Mila Sirinelli-Kojadinovic, Sandrine Grosse, Agnese Kokina, Janis Liepins, Dita Gudra, Megija Lunge, Davids Fridmanis, Mihaly Posfai, Andrejs Cebers, Damien Faivre, Guntars Kitenbergs
https://arxiv.org/abs/…

Image-based physical characterization of magnetotactic bacteria from an environmental sample
Magnetotactic bacteria (MTB) are a diverse group of microorganisms that are able to biomineralize magnetic nanoparticles. Most MTB remain uncultured, making population-level characterization from natural environments difficult. We report the discovery of a new and diverse MTB-rich site in the Ogre River, Latvia, and present an integrated approach combining 16S rRNA sequencing, transmission electron microscopy, and novel open-source, automated image-based physical methods to characterize bacteri…

Mitigating Data Poisoning Attacks to Local Differential Privacy
Xiaolin Li, Ninghui Li, Boyang Wang, Wenhai Sun
https://arxiv.org/abs/2506.02156 https://…

Mitigating Data Poisoning Attacks to Local Differential Privacy
The distributed nature of local differential privacy (LDP) invites data poisoning attacks and poses unforeseen threats to the underlying LDP-supported applications. In this paper, we propose a comprehensive mitigation framework for popular frequency estimation, which contains a suite of novel defenses, including malicious user detection, attack pattern recognition, and damaged utility recovery. In addition to existing attacks, we explore new adaptive adversarial activities for our mitigation de…