Tootfinder

Rota-Baxter operators on compact simple Lie groups and algebras
Saveliy V. Skresanov
https://arxiv.org/abs/2506.14324 https://arxiv.o…

Rota-Baxter operators on compact simple Lie groups and algebras
A Rota-Baxter operator on a Lie group $ G $ is a smooth map $ B : G \to G $ such that $ B(g)B(h) = B(gB(g)hB(g)^{-1}) $ for all $ g, h \in G $. This concept was introduced in 2021 by Guo, Lang and Sheng as a Lie group analogue of Rota-Baxter operators of weight 1 on Lie algebras. We show that the only Rota-Baxter operators on compact simple Lie groups are the trivial map and the inverse map. A similar description for Rota-Baxter operators of weight 1 on compact simple Lie algebras is provided.

Unlearning-Enhanced Website Fingerprinting Attack: Against Backdoor Poisoning in Anonymous Networks
Yali Yuan, Kai Xu, Ruolin Ma, Yuchen Zhang
https://arxiv.org/abs/2506.13563

Unlearning-Enhanced Website Fingerprinting Attack: Against Backdoor Poisoning in Anonymous Networks
Website Fingerprinting (WF) is an effective tool for regulating and governing the dark web. However, its performance can be significantly degraded by backdoor poisoning attacks in practical deployments. This paper aims to address the problem of hidden backdoor poisoning attacks faced by Website Fingerprinting attack, and designs a feasible mothed that integrates unlearning technology to realize detection of automatic poisoned points and complete removal of its destructive effects, requiring onl…

"‘The ocean is not a backdrop’: MEPs and experts say oceans must be prioritised at COP30"
#Oceans #Environment #COP30

What message has the Nice ocean summit sent to COP30 this year?
Campaigners, MEPs and experts made pleas from UNOC3 for oceans to be protected at the climate summit in Brazil.

The Trip to ZigBee Backscatter across a Decade, a Systematic Review
Yang Liu
https://arxiv.org/abs/2506.13822 https://arxiv.org/pdf/2…

The Trip to ZigBee Backscatter across a Decade, a Systematic Review
The field of backscatter communication has undergone a profound transformation, evolving from a niche technology for radio-frequency identification (RFID) into a sophisticated paradigm poised to enable a truly battery-free Internet of Things (IoT). This evolution is built upon a deepening understanding of the fundamental principles governing these ultra-low-power links. Modern backscatter systems are no longer simple reflectors of continuous waves but are increasingly designed to interact with …

One-generator skew braces and indecomposable set-theoretic solutions to the Yang-Baxter equation
Marco Castelli
https://arxiv.org/abs/2506.12503 https://…

One-generator skew braces and indecomposable set-theoretic solutions to the Yang-Baxter equation
We study the class of one-generator solutions to the Yang-Baxter equation, extending some recent results concerning the classes of involutive and multipermutation solutions. Moreover we show the precise relationship between indecomposable solutions to the Yang-Baxter equation and finite one-generator skew braces, giving a positive answer to a question posed by Agata and Alicja Smoktunowicz. In the last part, we apply our results to the involutive case, and we present some numerical results invo…

🇺🇦 #NowPlaying on KEXP's #Expansions
Boxcutter:
🎵 Eyebeam
#Boxcutter
https://barryboxcutter.bandcamp.com/album/dapple-eyebeam
https://open.spotify.com/track/0oalMOOo31qDvKr8AKlTIt

Unlearning-Enhanced Website Fingerprinting Attack: Against Backdoor Poisoning in Anonymous Networks
Yali Yuan, Kai Xu, Ruolin Ma, Yuchen Zhang
https://arxiv.org/abs/2506.13563

Unlearning-Enhanced Website Fingerprinting Attack: Against Backdoor Poisoning in Anonymous Networks
Website Fingerprinting (WF) is an effective tool for regulating and governing the dark web. However, its performance can be significantly degraded by backdoor poisoning attacks in practical deployments. This paper aims to address the problem of hidden backdoor poisoning attacks faced by Website Fingerprinting attack, and designs a feasible mothed that integrates unlearning technology to realize detection of automatic poisoned points and complete removal of its destructive effects, requiring onl…

"AI" product development is in a strategic falsifiability crisis
The crisis is shaped like the No True Scotsman fallacy, Sunk Cost fallacy, and conspiracy theories ALL AT THE SAME TIME
there is no possible accumulated evidence that would lead boosters to conclude that "an LLM isn't an appropriate artifact to address this problem"
I see them throwing LLMs at *already beyond-adequately solved problems* (units conversion! chess! constraint fitting!), ge…

InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning
Mengyuan Sun, Yu Li, Yuchen Liu, Bo Du, Yunjie Ge
https://arxiv.org/abs/2506.12411

InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning
Multimodal contrastive learning models like CLIP have demonstrated remarkable vision-language alignment capabilities, yet their vulnerability to backdoor attacks poses critical security risks. Attackers can implant latent triggers that persist through downstream tasks, enabling malicious control of model behavior upon trigger presentation. Despite great success in recent defense mechanisms, they remain impractical due to strong assumptions about attacker knowledge or excessive clean data requir…

When Forgetting Triggers Backdoors: A Clean Unlearning Attack
Marco Arazzi, Antonino Nocera, Vinod P
https://arxiv.org/abs/2506.12522 https://

When Forgetting Triggers Backdoors: A Clean Unlearning Attack
Machine unlearning has emerged as a key component in ensuring ``Right to be Forgotten'', enabling the removal of specific data points from trained models. However, even when the unlearning is performed without poisoning the forget-set (clean unlearning), it can be exploited for stealthy attacks that existing defenses struggle to detect. In this paper, we propose a novel {\em clean} backdoor attack that exploits both the model learning phase and the subsequent unlearning requests. Unlike traditi…