Tootfinder

Algorithmic Tradeoffs, Applied NLP, and the State-of-the-Art Fallacy
AJ Alvero, Ruohong Dong, Klint Kanopka, David Lang
https://arxiv.org/abs/2509.08199 https://

Algorithmic Tradeoffs, Applied NLP, and the State-of-the-Art Fallacy
Computational sociology is growing in popularity, yet the analytic tools employed differ widely in power, transparency, and interpretability. In computer science, methods gain popularity after surpassing benchmarks of predictive accuracy, becoming the "state of the art." Computer scientists favor novelty and innovation for different reasons, but prioritizing technical prestige over methodological fit could unintentionally limit the scope of sociological inquiry. To illustrate, we focus on compu…

Shrinking the Kernel Attack Surface Through Static and Dynamic Syscall Limitation
Dongyang Zhan (Harbin Institute of Technology), Zhaofeng Yu (Harbin Institute of Technology), Xiangzhan Yu (Harbin Institute of Technology), Hongli Zhang (Harbin Institute of Technology), Lin Ye (Harbin Institute of Technology)
https://arxiv.org/abs/2510.0372…

Shrinking the Kernel Attack Surface Through Static and Dynamic Syscall Limitation
Linux Seccomp is widely used by the program developers and the system maintainers to secure the operating systems, which can block unused syscalls for different applications and containers to shrink the attack surface of the operating systems. However, it is difficult to configure the whitelist of a container or application without the help of program developers. Docker containers block about only 50 syscalls by default, and lots of unblocked useless syscalls introduce a big kernel attack surfa…

It's just an ordinary #caturday, I think I'll spare my other socials which got a stick of photos for International Cat Day yesterday.
Kim is sitting in her usual spot, I took this with the 7Artisan 50mm/0.95 manual focus lens which I reach for whenever I get bored
#cat

The giant, remote-controlled vehicle
— somewhere between a tractor trailer, a tank and a Zamboni in appearance
— slowly rolled across the dry, brittle grass growing between the tangle of freeways making up the 101 and 23 interchange in Thousand Oaks.
Inside the beast, fire churned.
And as it rolled over the land, that fire incinerated any brush it encountered,
leaving only a thin smoke cloud billowing from the top of the machine, some flashes of orange and red fr…

A 'Roomba for the forest' could be SoCal's next wildfire weapon
The BurnBot is a remote-controlled vehicular system that removes flammable brush alongside roads with unprecedented precision.

The Israeli Sociological Society was suspended from cooperation w/ the International Sociological Association. #ISS #Sociology This sends “a problematic signal by isolating academic organizations under political pressure instead of protecting them.”
👇

Unusual magnetic order in Eu$_{10}$Hg$_{55}$
Rachel Nixon, Nazar Zaremba, Samuel A. Adegboyega, Andreas Leithe-Jasper, Mitja Krnel, Yurii Prots, Ulrich Burkhardt, J\"org Sichelschmidt, Lucia Amidani, Fabio La Mattina, Michael Shatruk, Alexander Shengelaya, Manuel Brando, Eteri Svanidze
https://arxiv.org/abs/2509.07589

Unusual magnetic order in Eu$_{10}$Hg$_{55}$
In solid-state compounds, the valence of europium can sometimes be mixed -- which is especially favored in structures with several positions for the europium atoms. In this work, we study the Eu-based intermetallic noncentrosymmetric system Eu$_{10}$Hg$_{55}$ which has 65 atoms per unit cell and 4 distinct crystallographic positions for europium and 17 positions for mercury. Our detailed analysis of magnetism of large single crystals suggests that europium in Eu$_{10}$Hg$_{55}$ might be present…

Securing Operating Systems Through Fine-grained Kernel Access Limitation for IoT Systems
Dongyang Zhan (Harbin Institute of Technology), Zhaofeng Yu (Harbin Institute of Technology), Xiangzhan Yu (Harbin Institute of Technology), Hongli Zhang (Harbin Institute of Technology), Lin Ye (Harbin Institute of Technology), Likun Liu (Harbin Institute of Technology)
ht…

Securing Operating Systems Through Fine-grained Kernel Access Limitation for IoT Systems
With the development of Internet of Things (IoT), it is gaining a lot of attention. It is important to secure the embedded systems with low overhead. The Linux Seccomp is widely used by developers to secure the kernels by blocking the access of unused syscalls, which introduces less overhead. However, there are no systematic Seccomp configuration approaches for IoT applications without the help of developers. In addition, the existing Seccomp configuration approaches are coarse-grained, which c…

Toward Model Matching for Remotely Controlled Differential Drive Robotic Vehicles
Nikolaos D. Kouvakas, Fotis N. Koumboulis, Konstantinos G. Tzierakis, John Sigalas, Anastasios Dimakakos
https://arxiv.org/abs/2510.06081

Toward Model Matching for Remotely Controlled Differential Drive Robotic Vehicles
The problem of regulation of the orientation angle of a remotely controlled differential-drive mobile robot with actuator dynamics and network-induced delays is studied. Using a preinstalled two-layer nonlinear control scheme that decouples linear and angular velocities and regulates heading, a third, delay-dependent layer that achieves exact model matching from the orientation angle command to the orientation angle is introduced. The proposed outer loop controller is a delay dependent dynamic …

😼 Not posting photos today because (1) I'm still busy developing photos from a basketball double-header and (2) posted a stick of old cat photos for International Cat Day from here to my 𝑜𝑡ℎ𝑒𝑟 socials which you might want to check out: https://bsky.app/profile/up-8.bsky.social

RL Is a Hammer and LLMs Are Nails: A Simple Reinforcement Learning Recipe for Strong Prompt Injection
Yuxin Wen, Arman Zharmagambetov, Ivan Evtimov, Narine Kokhlikyan, Tom Goldstein, Kamalika Chaudhuri, Chuan Guo
https://arxiv.org/abs/2510.04885

RL Is a Hammer and LLMs Are Nails: A Simple Reinforcement Learning Recipe for Strong Prompt Injection
Prompt injection poses a serious threat to the reliability and safety of LLM agents. Recent defenses against prompt injection, such as Instruction Hierarchy and SecAlign, have shown notable robustness against static attacks. However, to more thoroughly evaluate the robustness of these defenses, it is arguably necessary to employ strong attacks such as automated red-teaming. To this end, we introduce RL-Hammer, a simple recipe for training attacker models that automatically learn to perform stro…