Tootfinder

Secure and reversible face anonymization with diffusion models
Pol Labarbarie, Vincent Itier, William Puech
https://arxiv.org/abs/2510.01031 https://arxiv.…

Secure and reversible face anonymization with diffusion models
Face images processed by computer vision algorithms contain sensitive personal information that malicious actors can capture without consent. These privacy and security risks highlight the need for effective face anonymization methods. Current methods struggle to propose a good trade-off between a secure scheme with high-quality image generation and reversibility for later person authentication. Diffusion-based approaches produce high-quality anonymized images but lack the secret key mechanism …

A Gentle Introduction to Blind signatures: From RSA to Lattice-based Cryptography
Aditya Bhardwaj, P\'eter Kutas
https://arxiv.org/abs/2509.02189 https://

A Gentle Introduction to Blind signatures: From RSA to Lattice-based Cryptography
Blind signatures were first introduced by David Chaum. They allow a user to have a message signed by a signer without revealing the message itself. This property is particularly useful in applications such as electronic voting and digital cash, where user anonymity is important. In a blind signature scheme, the user blinds their message before sending it to the signer, who signs the blinded message. The user then unblinds the signed message to obtain a valid signature that can be verified publi…

Making Characters Count. A Computational Approach to Scribal Profiling in 14th-Century Middle Dutch Manuscripts from the Carthusian Monastery of Herne
Caroline Vandyck, Wouter Haverals, Mike Kestemont
https://arxiv.org/abs/2509.00067

Making Characters Count. A Computational Approach to Scribal Profiling in 14th-Century Middle Dutch Manuscripts from the Carthusian Monastery of Herne
The Carthusian monastery of Herne was exceptionally prolific in producing high-quality manuscripts during the late 14th century. Although the scribes remain anonymous, previous research has distinguished thirteen different scribal hands based on paleography and codicology. In this study, we revisit this hypothesis through the lens of linguistic characteristics of the texts, using computational methods from the field of scribal profiling. Using a newly created corpus of diplomatic and HTR-based …

Tor browser's great - but for more complete privacy protection, you need to add this
When you use the @… Browser, the only network traffic that's being masked is via the web browser. If you want more traffic anonymized and encrypted, you need to take a different approach.
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Tor browser's great - but for more complete privacy protection, you need to add this
When you use the Tor Browser, the only network traffic that's being masked is via the web browser. If you want more traffic anonymized and encrypted, you need to take a different approach.

Identification of post-COVID-19 symptoms using brain structural MRI features: a machine learning approach
Abdi Reza
https://arxiv.org/abs/2510.00195 https://

Identification of post-COVID-19 symptoms using brain structural MRI features: a machine learning approach
Identifying long COVID symptoms is a challenging task, primarily due to the reliance on patient reports and the lack of disease specific biomarkers. The objective of this study is to identify individual long COVID symptoms, post COVID 19 conditions (PCC) participants, and participants' sex, and to identify the associated brain regions by developing an explainable machine learning algorithm using brain MRI features. This study implements secondary analysis using an anonymized, publicly accessibl…

On many platforms, we are no longer the customers, but instead have become the product. Our data, even if anonymised, is sold on to actors we never intended it to reach, who can then target us with content and advertising. This includes deliberately harmful content that leads to real-world violence, spreads misinformation, wreaks havoc on our psychological wellbeing and seeks to undermine social cohesion.
Sir T.B.L.

LLUAD: Low-Latency User-Anonymized DNS
Philip Sj\"osv\"ard, Hongyu Jin, Panos Papadimitratos
https://arxiv.org/abs/2509.24174 https://arxiv.org/p…

LLUAD: Low-Latency User-Anonymized DNS
The Domain Name System (DNS) is involved in practically all web activity, translating easy-to-remember domain names into Internet Protocol (IP) addresses. Due to its central role on the Internet, DNS exposes user web activity in detail. The privacy challenge is honest-but-curious DNS servers/resolvers providing the translation/lookup service. In particular, with the majority of DNS queries handled by public DNS resolvers, the organizations running them can track, collect, and analyze massive us…

Speaker Anonymisation for Speech-based Suicide Risk Detection
Ziyun Cui, Sike Jia, Yang Lin, Yinan Duan, Diyang Qu, Runsen Chen, Chao Zhang, Chang Lei, Wen Wu
https://arxiv.org/abs/2509.22148

Speaker Anonymisation for Speech-based Suicide Risk Detection
Adolescent suicide is a critical global health issue, and speech provides a cost-effective modality for automatic suicide risk detection. Given the vulnerable population, protecting speaker identity is particularly important, as speech itself can reveal personally identifiable information if the data is leaked or maliciously exploited. This work presents the first systematic study of speaker anonymisation for speech-based suicide risk detection. A broad range of anonymisation methods are invest…

Single-Round Deterministic Quantum Anonymous Veto Using Bell States
Ravi Sangwan, Harishankar Mishra, Henry Sukumar, Gudapati Naresh Raghava
https://arxiv.org/abs/2509.15951 htt…

Single-Round Deterministic Quantum Anonymous Veto Using Bell States
Quantum Anonymous Veto (QAV) protocols enable secure and anonymous decision-making by allowing participants to detect the presence of a veto without revealing individual choices. While existing QAV schemes offer strong theoretical guarantees, they face significant limitations in practical implementation due to resource requirements, scalability issues, and the need for multipartite entanglement. In this work, we propose a novel deterministic QAV protocol that leverages only bipartite entangleme…

Eliminating Exponential Key Growth in PRG-Based Distributed Point Functions
Marc Damie, Florian Hahn, Andreas Peter, Jan Ramon
https://arxiv.org/abs/2509.22022 https://

Eliminating Exponential Key Growth in PRG-Based Distributed Point Functions
Distributed Point Functions (DPFs) enable sharing secret point functions across multiple parties, supporting privacy-preserving technologies such as Private Information Retrieval, and anonymous communications. While 2-party PRG-based schemes with logarithmic key sizes have been known for a decade, extending these solutions to multi-party settings has proven challenging. In particular, PRG-based multi-party DPFs have historically struggled with practicality due to key sizes growing exponentially…