Tootfinder

A look at Tea, a woman-only safety app with 4M users that lets users anonymously assign red or green flags to local men, as it goes viral with 900K new signups (Angela Yang/NBC News)
https://www.nbcnews.com/tech/tech-news/women-are-an…

Women are anonymously spilling tea about men in their cities on viral app
When Cid Walker opens the Tea app, she’s greeted by a barrage of posts about men and their apparent "red" and "green" "flags."“He’s a cheater,” Walker said, reading some of the comments on one post out loud."What clubs does he go to?" another person asked on a different post.

Privacy, Informed Consent and the Demand for Anonymisation of Smart Meter Data
Saurab Chhachhi, Fei Teng
https://arxiv.org/abs/2509.00101 https://arxiv.org…

Privacy, Informed Consent and the Demand for Anonymisation of Smart Meter Data
Access to smart meter data offers system-wide benefits but raises significant privacy concerns due to the personal information it contains. Privacy-preserving techniques could facilitate wider access, though they introduce privacy-utility trade-offs. Understanding consumer valuations for anonymisation can help identify appropriate trade-offs. However, existing studies do not focus on anonymisation specifically or account for information asymmetries regarding privacy risks, raising questions abo…

Donald Trump announced on Tuesday that U.S. Space Command will be located in Alabama,
reversing a Biden-era decision to keep it at its temporary headquarters in Colorado.
The long-expected decision from Trump caps a four-year tug of war between two states and opposing administrations about where to locate U.S. Space Command,
an intense fight because the headquarters would be a significant boon to the local economy.
Alabama and Colorado have long battled to claim Space…

Trump will announce Space Command moves from Colorado to Alabama
President Donald Trump’s administration will announce U.S. Space Command will be located in Alabama, reversing a Biden-era decision to keep it at its temporary headquarters in Colorado. That's according to two people familiar with the announcement. The people say Trump is expected to speak Tuesday afternoon and will give the new location. The people spoke on the condition of anonymity to confirm the plans ahead of the official announcement. A Pentagon website set up to livestream the remarks …

Privacy-Preserving Anonymization of System and Network Event Logs Using Salt-Based Hashing and Temporal Noise
Shreyas Bargale, Akshit Vakati Venkata, Jaimandeep Singh, Chester Rebeiro
https://arxiv.org/abs/2507.21904

Privacy-Preserving Anonymization of System and Network Event Logs Using Salt-Based Hashing and Temporal Noise
System and network event logs are essential for security analytics, threat detection, and operational monitoring. However, these logs often contain Personally Identifiable Information (PII), raising significant privacy concerns when shared or analyzed. A key challenge in log anonymization is balancing privacy protection with the retention of sufficient structure for meaningful analysis. Overly aggressive anonymization can destroy contextual integrity, while weak techniques risk re-identificatio…

From Patient Burdens to User Agency: Designing for Real-Time Protection Support in Online Health Consultations
Shuning Zhang, Ying Ma, Yongquan `Owen' Hu, Ting Dang, Hong Jia, Xin Yi, Hewu Li
https://arxiv.org/abs/2508.00328

From Patient Burdens to User Agency: Designing for Real-Time Protection Support in Online Health Consultations
Online medical consultation platforms, while convenient, are undermined by significant privacy risks that erode user trust. We first conducted in-depth semi-structured interviews with 12 users to understand their perceptions of security and privacy landscapes on online medical consultation platforms, as well as their practices, challenges and expectation. Our analysis reveals a critical disconnect between users' desires for anonymity and control, and platform realities that offload the responsi…

Linearly Homomorphic Ring Signature Scheme over Lattices
Heng Guo, Kun Tian, Fengxia Liu, Zhiyong Zheng
https://arxiv.org/abs/2507.02281 https://

Linearly Homomorphic Ring Signature Scheme over Lattices
Homomorphic ring signature schemes combine the strong anonymity of ring signatures with the computability of homomorphic signatures, demonstrating significant potential in scenarios requiring both anonymous data provenance and verifiable homomorphic computation (e.g., confidential blockchain transactions and secure multi-party computation). However, no feasible homomorphic ring signature scheme currently exists. In this work, we propose the first lattice-based linearly homomorphic ring signat…

Metaverse Support Groups for LGBTQ Youth: An Observational Study on Safety, Self-Expression, and Early Intervention
Joe Hasei, Yosuke Matsumoto, Hiroki Kawai, Yuko Okahisa, Manabu Takaki, Toshifumi Ozaki
https://arxiv.org/abs/2507.21079

Metaverse Support Groups for LGBTQ+ Youth: An Observational Study on Safety, Self-Expression, and Early Intervention
This study assessed metaverse-based support groups designed to reduce social isolation and suicide risk among LGBTQ+ youths. Using the Cluster platform, enhanced anonymity, avatar-based self-expression, and accessibility were provided. Key findings showed that 79.2% chose avatars matching their gender identity, reporting high satisfaction (mean: 4.10/5) and low discomfort (mean: 1.79/5). Social confidence significantly improved in virtual spaces compared to real-world interactions (p<0.001), pa…

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…

RL-Finetuned LLMs for Privacy-Preserving Synthetic Rewriting
Zhan Shi, Yefeng Yuan, Yuhong Liu, Liang Cheng, Yi Fang
https://arxiv.org/abs/2508.19286 https://

RL-Finetuned LLMs for Privacy-Preserving Synthetic Rewriting
The performance of modern machine learning systems depends on access to large, high-quality datasets, often sourced from user-generated content or proprietary, domain-specific corpora. However, these rich datasets inherently contain sensitive personal information, raising significant concerns about privacy, data security, and compliance with regulatory frameworks. While conventional anonymization techniques can remove explicit identifiers, such removal may result in performance drop in downstre…

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…