Tootfinder

On Base, Normal and Near-normal Sequences
Xu Wang, Jiayi Zhu
https://arxiv.org/abs/2506.20296 https://arxiv.org/pdf/2506.20296…

On Base, Normal and Near-normal Sequences
The base sequences BS(n+1,n) are four sequences of $\pm1$ and lengths n+1,n+1,n,n with zero auto correlation. The base sequence conjecture states that BS(n+1,n) exists for all integers $n>0$ and has been verified for $n\le40$. We present our algorithm and gives construction of BS(n+1,n) for $n=41,42,43$. The Normal sequences NS (n) and the Near-normal sequences NNS (n) are subclasses of BS(n+1,n). Yang conjecture asserts that there is a NNS(n) for each even integer n and has been verified for…

A 4 March 2017 rally, billed as “March 4 Trump”,
was a response to a planned protest against a campus speech by the rightwing provocateur Milo Yiannopoulos,
then an alt-right darling but who would soon fall from grace after appearing to relativize pedophiliain a podcast appearance.
Archived posts from Black’s now-defunct Twitter/X account show him promoting the March event,
and whipping up alt-right supporters with images of the event in progress.
Clashes there r…

Removing Box-Free Watermarks for Image-to-Image Models via Query-Based Reverse Engineering
Haonan An, Guang Hua, Hangcheng Cao, Zhengru Fang, Guowen Xu, Susanto Rahardja, Yuguang Fang
https://arxiv.org/abs/2507.18034

Removing Box-Free Watermarks for Image-to-Image Models via Query-Based Reverse Engineering
The intellectual property of deep generative networks (GNets) can be protected using a cascaded hiding network (HNet) which embeds watermarks (or marks) into GNet outputs, known as box-free watermarking. Although both GNet and HNet are encapsulated in a black box (called operation network, or ONet), with only the generated and marked outputs from HNet being released to end users and deemed secure, in this paper, we reveal an overlooked vulnerability in such systems. Specifically, we show that t…

I just saw this ASCII text account called @hypernode.bsky.social & it reminded me of my UCLA mainframe days...
Anyone remember a real-time multi-player game on the #mainframe called #HUNT? You'd telnet in & control an 'X' on a 16x16 grid, firing bombs, slime & other wea…

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization
Dhruv Gupta, Gayathri Ganesh Lakshmy, Yiqing Xie
https://arxiv.org/abs/2506.20081

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization
Retrieval-Augmented Code Generation (RACG) is a critical technique for enhancing code generation by retrieving relevant information. In this work, we conduct an in-depth analysis of code retrieval by systematically masking specific features while preserving code functionality. Our discoveries include: (1) although trained on code, current retrievers heavily rely on surface-level textual features (e.g., docstrings, identifier names), and (2) they exhibit a strong bias towards well-documented cod…

On the convergence of critical points on real algebraic sets and applications to optimization
Saugata Basu, Ali Mohammad-Nezhad
https://arxiv.org/abs/2506.20565

On the convergence of critical points on real algebraic sets and applications to optimization
Let $F \in \R[X_1,\ldots,X_n]$ and the zero set $V=\zero(\mathcal{P},\R^n)$, where $\mathcal{P}:=\{P_1,\ldots,P_s\} \subset \R[X_1,\ldots,X_n]$ is a finite set of polynomials. We investigate existence of critical points of $F$ on an infinitesimal perturbation $V_ξ = \zero(\{P_1-ξ_1.\ldots,P_s-ξ_s\},\R^n)$. Our motivation is to understand the limiting behavior of central paths in polynomial optimization, which is an important problem in the theory of interior point methods for polynomial opti…

Weil mir derzeit wieder so viele Mythen begegnen, möchte ich auf ein älteres, aber nicht veraltetes Buch bei @… zu #Marx hinweisen:

Direct Dual-Energy CT Material Decomposition using Model-based Denoising Diffusion Model
Hang Xu, Alexandre Bousse, Alessandro Perelli
https://arxiv.org/abs/2507.18012 https://

Direct Dual-Energy CT Material Decomposition using Model-based Denoising Diffusion Model
Dual-energy X-ray Computed Tomography (DECT) constitutes an advanced technology which enables automatic decomposition of materials in clinical images without manual segmentation using the dependency of the X-ray linear attenuation with energy. However, most methods perform material decomposition in the image domain as a post-processing step after reconstruction but this procedure does not account for the beam-hardening effect and it results in sub-optimal results. In this work, we propose a dee…

Identitätsklau auf Social Media nimmt rasant zu: Prominente wie Marcel Fratzscher kämpfen gegen bis zu 20 Fake-Profile, die mit gestohlenem Namen dubiose Anlagetipps verbreiten. Strafanzeigen verlaufen meist im Sand, Plattformen wie Meta und X reagieren kaum, Gesetzgeber auch nicht. Der digitale Raum wird zum „Raum der Gesetzlosigkeit“. Identitätsdiebstahl ist längst Massenphänomen. (Volker Hirth, #tagesschau

NWaaS: Nonintrusive Watermarking as a Service for X-to-Image DNN
Haonan An, Guang Hua, Yu Guo, Hangcheng Cao, Susanto Rahardja, Yuguang Fang
https://arxiv.org/abs/2507.18036 htt…

NWaaS: Nonintrusive Watermarking as a Service for X-to-Image DNN
The intellectual property of deep neural network (DNN) models can be protected with DNN watermarking, which embeds copyright watermarks into model parameters (white-box), model behavior (black-box), or model outputs (box-free), and the watermarks can be subsequently extracted to verify model ownership or detect model theft. Despite recent advances, these existing methods are inherently intrusive, as they either modify the model parameters or alter the structure. This natural intrusiveness raise…