Tootfinder

Analysis of Anonymous User Interaction Relationships and Prediction of Advertising Feedback Based on Graph Neural Network
Yanjun Dai, Haoyang Feng, Yuan Gao
https://arxiv.org/abs/2506.13787

Analysis of Anonymous User Interaction Relationships and Prediction of Advertising Feedback Based on Graph Neural Network
While online advertising is highly dependent on implicit interaction networks of anonymous users for engagement inference, and for the selection and optimization of delivery strategies, existing graph models seldom can capture the multi-scale temporal, semantic and higher-order dependency features of these interaction networks, thus it's hard to describe the complicated patterns of the anonymous behavior. In this paper, we propose Decoupled Temporal-Hierarchical Graph Neural Network (DTH-GNN), …

The Ethics of Generative AI in Anonymous Spaces: A Case Study of 4chan's /pol/ Board
Parth Gaba, Emiliano De Cristofaro
https://arxiv.org/abs/2506.14191

The Ethics of Generative AI in Anonymous Spaces: A Case Study of 4chan's /pol/ Board
This paper presents a characterization of AI-generated images shared on 4chan, examining how this anonymous online community is (mis-)using generative image technologies. Through a methodical data collection process, we gathered 900 images from 4chan's /pol/ (Politically Incorrect) board, which included the label "/mwg/" (memetic warfare general), between April and July 2024, identifying 66 unique AI-generated images. The analysis reveals concerning patterns in the use of this technology, with …

An excellent episode of the #DarknetDiaries: 158: @…
Episode webpage: https://

MalwareTech – Darknet Diaries
MalwareTech was an anonymous security researcher, until he accidentally stopped WannaCry, one of the largest ransomware attacks in history. That single act of heroism shattered his anonymity and pulled him into a world he never expected.

VoxATtack: A Multimodal Attack on Voice Anonymization Systems
Ahmad Aloradi, \"Unal Ege Gaznepoglu, Emanu\"el A. P. Habets, Daniel Tenbrinck
https://arxiv.org/abs/2507.12081

VoxATtack: A Multimodal Attack on Voice Anonymization Systems
Voice anonymization systems aim to protect speaker privacy by obscuring vocal traits while preserving the linguistic content relevant for downstream applications. However, because these linguistic cues remain intact, they can be exploited to identify semantic speech patterns associated with specific speakers. In this work, we present VoxATtack, a novel multimodal de-anonymization model that incorporates both acoustic and textual information to attack anonymization systems. While previous resear…

Governments Should Mandate Tiered Anonymity on Social-Media Platforms to Counter Deepfakes and LLM-Driven Mass Misinformation
David Khachaturov, Roxanne Schnyder, Robert Mullins
https://arxiv.org/abs/2506.12814

Governments Should Mandate Tiered Anonymity on Social-Media Platforms to Counter Deepfakes and LLM-Driven Mass Misinformation
This position paper argues that governments should mandate a three-tier anonymity framework on social-media platforms as a reactionary measure prompted by the ease-of-production of deepfakes and large-language-model-driven misinformation. The tiers are determined by a given user's $\textit{reach score}$: Tier 1 permits full pseudonymity for smaller accounts, preserving everyday privacy; Tier 2 requires private legal-identity linkage for accounts with some influence, reinstating real-world accou…

Apropos of nothing, you can always reach ProPublica with anonymous tips, files, and information that you think could hold powerful people and institutions accountable via this link: https://www.propublica.org/tips/

How to Contact ProPublica or Send a Tip Securely — ProPublica
Our job is to hold people and institutions accountable. To do that, we need evidence.

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…

Toward Practical Privacy in XR: Empirical Analysis of Multimodal Anonymization Mechanisms
Azim Ibragimov, Ethan Wilson, Kevin R. B. Butler, Eakta Jain
https://arxiv.org/abs/2506.13882

Toward Practical Privacy in XR: Empirical Analysis of Multimodal Anonymization Mechanisms
As extended reality (XR) systems become increasingly immersive and sensor-rich, they enable the collection of fine-grained behavioral signals such as eye and body telemetry. These signals support personalized and responsive experiences and may also contain unique patterns that can be linked back to individuals. However, privacy mechanisms that naively pair unimodal mechanisms (e.g., independently apply privacy mechanisms for eye and body privatization) are often ineffective at preventing re-ide…

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…

Masked ICE agents are only the start of the assault on government transparency.
Now, government attorneys that are arguing to deport immigrants are doing so in secret.
The Intercept reports on two separate instances immigration judges in New York City declined to identify the government attorneys for Immigration and Customs Enforcement.
In the first case Judge ShaSha Xu said,
“We’re not really doing names publicly.”
But that’s not really true. Because she *did* ID…

Government Attorneys Now On Board With The Whole Secret Police Thing
Judges are letting government attorneys do the ugly work of mass deportations anonymously.