Tootfinder

Peer Review as Structured Commentary: Immutable Identity, Public Dialogue, and Reproducible Scholarship
Craig Steven Wright
https://arxiv.org/abs/2506.22497

Peer Review as Structured Commentary: Immutable Identity, Public Dialogue, and Reproducible Scholarship
This paper reconceptualises peer review as structured public commentary. Traditional academic validation is hindered by anonymity, latency, and gatekeeping. We propose a transparent, identity-linked, and reproducible system of scholarly evaluation anchored in open commentary. Leveraging blockchain for immutable audit trails and AI for iterative synthesis, we design a framework that incentivises intellectual contribution, captures epistemic evolution, and enables traceable reputational dynamics.…

Quantum Variational Transformer Model for Enhanced Cancer Classification
Don Roosan, Rubayat Khan, Md Rahatul Ashakin, Tiffany Khou, Saif Nirzhor, Mohammad Rifat Haider
https://arxiv.org/abs/2506.21641

Quantum Variational Transformer Model for Enhanced Cancer Classification
Accurate prediction of cancer type and primary tumor site is critical for effective diagnosis, personalized treatment, and improved outcomes. Traditional models struggle with the complexity of genomic and clinical data, but quantum computing offers enhanced computational capabilities. This study develops a hybrid quantum-classical transformer model, incorporating quantum attention mechanisms via variational quantum circuits (VQCs) to improve prediction accuracy. Using 30,000 anonymized cancer s…

Unmasking Performance Gaps: A Comparative Study of Human Anonymization and Its Effects on Video Anomaly Detection
Sara Abdulaziz, Egor Bondarev
https://arxiv.org/abs/2507.14083

Unmasking Performance Gaps: A Comparative Study of Human Anonymization and Its Effects on Video Anomaly Detection
Advancements in deep learning have improved anomaly detection in surveillance videos, yet they raise urgent privacy concerns due to the collection of sensitive human data. In this paper, we present a comprehensive analysis of anomaly detection performance under four human anonymization techniques, including blurring, masking, encryption, and avatar replacement, applied to the UCF-Crime dataset. We evaluate four anomaly detection methods, MGFN, UR-DMU, BN-WVAD, and PEL4VAD, on the anonymized UCF…

Incarcerated individual who traveled from #Seattle supplying hundreds of pounds of ammonum nitrate to help build bomb used to destroy #PalmSprings #abortion clinic found dead in federal custody in

Man charged in California fertility clinic bombing dies in custody
A Washington man charged with aiding the bomber of a fertility clinic in California has died after he was found unresponsive in federal custody. Daniel Park was arrested earlier this month after he was extradited from Poland, where he fled to four days after the attack. The 32-year-old Park was accused of supplying chemicals to Guy Edward Bartkus of California, the bomber, who died in the May 17 explosion. Prison officials say Park, of suburban Seattle, was found unresponsive in the Metropolita…

Integrating LLM-Derived Multi-Semantic Intent into Graph Model for Session-based Recommendation
Shuo Zhang, Xiao Li, Jiayi Wu, Fan Yang, Xiang Li, Ming Gao
https://arxiv.org/abs/2507.20147

Integrating LLM-Derived Multi-Semantic Intent into Graph Model for Session-based Recommendation
Session-based recommendation (SBR) is mainly based on anonymous user interaction sequences to recommend the items that the next user is most likely to click. Currently, the most popular and high-performing SBR methods primarily leverage graph neural networks (GNNs), which model session sequences as graph-structured data to effectively capture user intent. However, most GNNs-based SBR methods primarily focus on modeling the ID sequence information of session sequences, while neglecting the rich …

Attack Smarter: Attention-Driven Fine-Grained Webpage Fingerprinting Attacks
Yali Yuan, Weiyi Zou, Guang Cheng
https://arxiv.org/abs/2506.20082 https://

Attack Smarter: Attention-Driven Fine-Grained Webpage Fingerprinting Attacks
Website Fingerprinting (WF) attacks aim to infer which websites a user is visiting by analyzing traffic patterns, thereby compromising user anonymity. Although this technique has been demonstrated to be effective in controlled experimental environments, it remains largely limited to small-scale scenarios, typically restricted to recognizing website homepages. In practical settings, however, users frequently access multiple subpages in rapid succession, often before previous content fully loads.…

Frag mich ob die Analogie zu "KI"-Lernen funkioniert:
Whats the point of "AI" Feedback, if I still have to pay a teacher to fix it?
Wenn wir annehmen, dass Lernen ein ähnlich komplexer Vorgang wie programmieren ist, dann können wir das übertragen. Vielleicht ist ja "KI"-Lernen wenig mehr als ein Rollenspiel für Leute, die sich wie Lehrende fühlen wollen, ohne die eigentliche Arbeit zu machen.
Bringt uns der Begriff vibe learning weiter?

tante (@tante@tldr.nettime.org)
Angehängt: 1 Bild I think the Vibecoding reddit has accidentally stumbled on the best description of vibecoding: It's "roleplay for guys [it is always guys] who want to feel like hackers without doing the hard part". (Source: https://www.reddit.com/r/vibecoding/comments/1mu6t8z/whats_the_point_of_vibe_coding_if_i_still_have_to/ ) #ai #vibecoding

Foute Vera …. Er komt nog eens eerherstel voor Arib denk ik …
Rol oud-Kamervoorzitter Bergkamp in affaire-Arib blijkt veel groter https://nos.nl/l/2570748

Rol oud-Kamervoorzitter Bergkamp in affaire-Arib blijkt veel groter
Khadija Arib werd anoniem beschuldigd van wangedrag tijdens haar Kamer-voorzitterschap. Over de rol van haar opvolger Vera Bergkamp zijn nu steeds meer vragen.

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…

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…