Tootfinder

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…

$(\ell,\delta)$-Diversity: Linkage-Robustness via a Composition Theorem
V. Arvind Rameshwar, Anshoo Tandon
https://arxiv.org/abs/2506.18405 https://…

$(\ell,δ)$-Diversity: Linkage-Robustness via a Composition Theorem
In this paper, we consider the problem of degradation of anonymity upon linkages of anonymized datasets. We work in the setting where an adversary links together $t\geq 2$ anonymized datasets in which a user of interest participates, based on the user's known quasi-identifiers, which motivates the use of $\ell$-diversity as the notion of dataset anonymity. We first argue that in the worst case, such linkage attacks can reveal the exact sensitive attribute of the user, even when each dataset res…

Computing Tree Structures in Anonymous Graphs via Mobile Agents
Prabhat Kumar Chand, Manish Kumar, Anisur Rahaman Molla
https://arxiv.org/abs/2506.19365 ht…

Computing Tree Structures in Anonymous Graphs via Mobile Agents
Minimum Spanning Tree (MST) and Breadth-First Search (BFS) tree constructions are classical problems in distributed computing, traditionally studied in the message-passing model, where static nodes communicate via messages. This paper investigates MST and BFS tree construction in an agent-based network, where mobile agents explore a graph and compute. Each node hosts one agent, and communication occurs when agents meet at a node. We consider $n$ agents initially dispersed (one per node) in an a…

Attention les yeux ! Première analyse "en direct" d'une solution "en double anonymat" qui fait sa pub sur Linkedin, pour vérifier l'age des personnes accédant Š un site pornographique : AnonymAge !
On rappelle que le double anonymat, c'est que le site porno n'apprend pas l'identité de l'utilisateurice et l'application de vérification n'apprend pas le site visité.
Deuxième étape de la vérification : on prend son téléphone, on lan…

Semi-anonymous Internet friend relationships must be so weird to people who aren't used to the culture.
Example 1: guy I've known on IRC for probably ten years and I consider a fairly good friend, I have his personal phone number, we talk quite often.
But I only know roughly what city he's in and his first name. He's in my phone as [first name] [irc handle].
Example 2: Catgirl I've known for a couple of years, she's been to my house, I've been to…

"Despite good-faith efforts by DSI [dense street imagery] providers to protect individual privacy through blurring faces and license plates, these measures fail to address broader privacy concerns. In this work, we find that increased data density and advancements in artificial intelligence enable harmful group membership inferences from supposedly anonymized data."
via @…

Privacy of Groups in Dense Street Imagery
Spatially and temporally dense street imagery (DSI) datasets have grown unbounded. In 2024, individual companies possessed around 3 trillion unique images of public streets. DSI data streams are only set to grow as companies like Lyft and Waymo use DSI to train autonomous vehicle algorithms and analyze collisions. Academic researchers leverage DSI to explore novel approaches to urban analysis. Despite good-faith efforts by DSI providers to protect individual privacy through blurring faces and l…

Researchers detail a technique Meta uses to glean some of its logged-in users' browsing histories from Chromium-based browsers on Android via web identifiers (Dan Goodin/Ars Technica)
https://arstechnica.com/security/2025/06/headline-to-come/

Meta and Yandex are de-anonymizing Android users’ web browsing identifiers
Abuse allows Meta and Yandex to attach persistent identifiers to detailed browsing histories.

Randomly reminded of the pet mice my family had when I was a kid.
We'd always get them in pairs and they had the weirdest names.
I've probably forgot a few but...
Breyah and Ghibou (named by me as a toddler, they asked me to name them and used the next two bits of babbling i made)
Rosie and Sarah (nothing super weird there)
Davina (feminized form of David) and Bextra (banned COX-2 inhibitor, a close cousin of Vioxx)
Ammonium Nitrate or Annie for sh…

Network Hexagons Under Attack: Secure Crowdsourcing of Geo-Referenced Data
Okemawo Obadofin, Joao Barros
https://arxiv.org/abs/2506.05601 https://

Network Hexagons Under Attack: Secure Crowdsourcing of Geo-Referenced Data
A critical requirement for modern-day Intelligent Transportation Systems (ITS) is the ability to collect geo-referenced data from connected vehicles and mobile devices in a safe, secure and anonymous way. The Nexagon protocol, which builds on the IETF Locator/ID Separation Protocol (LISP) and the Hierarchical Hexagonal Clustering (H3) geo-spatial indexing system, offers a promising framework for dynamic, privacy-preserving data aggregation. Seeking to address the critical security and privacy v…

This https://arxiv.org/abs/2505.15004 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

EASY: Emotion-aware Speaker Anonymization via Factorized Distillation
Emotion plays a significant role in speech interaction, conveyed through tone, pitch, and rhythm, enabling the expression of feelings and intentions beyond words to create a more personalized experience. However, most existing speaker anonymization systems employ parallel disentanglement methods, which only separate speech into linguistic content and speaker identity, often neglecting the preservation of the original emotional state. In this study, we introduce EASY, an emotion-aware speaker an…