Tootfinder

DarkStream: real-time speech anonymization with low latency
Waris Quamer, Ricardo Gutierrez-Osuna
https://arxiv.org/abs/2509.04667 https://arxiv.org/pdf/25…

DarkStream: real-time speech anonymization with low latency
We propose DarkStream, a streaming speech synthesis model for real-time speaker anonymization. To improve content encoding under strict latency constraints, DarkStream combines a causal waveform encoder, a short lookahead buffer, and transformer-based contextual layers. To further reduce inference time, the model generates waveforms directly via a neural vocoder, thus removing intermediate mel-spectrogram conversions. Finally, DarkStream anonymizes speaker identity by injecting a GAN-generated …

Hmmm, well my migration script seems to be working, but it's showing all public replies in the view.
Not sure if that's due to the destination server not having the full conversation, a change between default and Glitch, or a bug in my script, but I guess it works?...
My concept; query the source server (via a public / anonymous connection) to retrieve all posts for a target user, then on the destination server perform a search of each post URL so it's available in th…

H$_2$O and CO$_2$ sorption in ion exchange sorbents: distinct interactions in amine versus quaternary ammonium materials
Golnaz Najaf Tomaraei, Sierra Binney, Ryan Stratton, Houlong Zhuang, Jennifer L. Wade
https://arxiv.org/abs/2508.03909

H$_2$O and CO$_2$ sorption in ion exchange sorbents: distinct interactions in amine versus quaternary ammonium materials
This study investigates the H$_2$O and CO$_2$ sorption behavior of two ion exchange sorbents: a primary amine and a permanently charged strong base quaternary ammonium (QA) groups with (bi)carbonate counter-anions. We compare their distinct interactions with H$_2$O and CO$_2$ through simultaneous thermal gravimetric, calorimetric, gas analysis and molecular modeling to evaluate their performance for dilute CO$_2$ separations like direct air capture. Thermal and hybrid (heat + low-temperature …

TART: A Comprehensive Tool for Technique-Aware Audio-to-Tab Guitar Transcription
Akshaj Gupta, Andrea Guzman, Anagha Badriprasad, Hwi Joo Park, Upasana Puranik, Robin Netzorg, Jiachen Lian, Gopala Krishna Anumanchipalli
https://arxiv.org/abs/2510.02597

TART: A Comprehensive Tool for Technique-Aware Audio-to-Tab Guitar Transcription
Automatic Music Transcription (AMT) has advanced significantly for the piano, but transcription for the guitar remains limited due to several key challenges. Existing systems fail to detect and annotate expressive techniques (e.g., slides, bends, percussive hits) and incorrectly map notes to the wrong string and fret combination in the generated tablature. Furthermore, prior models are typically trained on small, isolated datasets, limiting their generalizability to real-world guitar recordings…

QPADL: Post-Quantum Private Spectrum Access with Verified Location and DoS Resilience
Saleh Darzi, Saif Eddine Nouma, Kiarash Sedghighadikolaei, Attila Altay
https://arxiv.org/abs/2510.03631

QPADL: Post-Quantum Private Spectrum Access with Verified Location and DoS Resilience
With advances in wireless communication and growing spectrum scarcity, Spectrum Access Systems (SASs) offer an opportunistic solution but face significant security challenges. Regulations require disclosure of location coordinates and transmission details, exposing user privacy and anonymity during spectrum queries, while the database operations themselves permit Denial-of-Service (DoS) attacks. As location-based services, SAS is also vulnerable to compromised or malicious users conducting spoo…

A Survey on Current Trends and Recent Advances in Text Anonymization
Tobias Deu{\ss}er, Lorenz Sparrenberg, Armin Berger, Max Hahnb\"uck, Christian Bauckhage, Rafet Sifa
https://arxiv.org/abs/2508.21587

A Survey on Current Trends and Recent Advances in Text Anonymization
The proliferation of textual data containing sensitive personal information across various domains requires robust anonymization techniques to protect privacy and comply with regulations, while preserving data usability for diverse and crucial downstream tasks. This survey provides a comprehensive overview of current trends and recent advances in text anonymization techniques. We begin by discussing foundational approaches, primarily centered on Named Entity Recognition, before examining the tr…

There are a couple of anonymous cowards on Mastodon telling people that all Palestinians you see here are fake and that the Internet there doesn’t work at all and spamming the #fediblock hashtag to get my Mastodon instance defederated so they can silence me and the work we are doing with @…

Gaza Verified
We’ve personally had video conversations on Signal with the people from Gaza whose Mastodon accounts on the fediverse are listed here and we verify that their accounts are genuine. – Joy & Aral Balkan

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 …

TravelBench : Exploring LLM Performance in Low-Resource Domains
Srinivas Billa, Xiaonan Jing
https://arxiv.org/abs/2510.02719 https://arxiv.org/pdf/2510.02…

TravelBench : Exploring LLM Performance in Low-Resource Domains
Results on existing LLM benchmarks capture little information over the model capabilities in low-resource tasks, making it difficult to develop effective solutions in these domains. To address these challenges, we curated 14 travel-domain datasets spanning 7 common NLP tasks using anonymised data from real-world scenarios, and analysed the performance across LLMs. We report on the accuracy, scaling behaviour, and reasoning capabilities of LLMs in a variety of tasks. Our results confirm that gen…

Comparison of Unsupervised Metrics for Evaluating Judicial Decision Extraction
Ivan Leonidovich Litvak, Anton Kostin, Fedor Lashkin, Tatiana Maksiyan, Sergey Lagutin
https://arxiv.org/abs/2510.01792

Comparison of Unsupervised Metrics for Evaluating Judicial Decision Extraction
The rapid advancement of artificial intelligence in legal natural language processing demands scalable methods for evaluating text extraction from judicial decisions. This study evaluates 16 unsupervised metrics, including novel formulations, to assess the quality of extracting seven semantic blocks from 1,000 anonymized Russian judicial decisions, validated against 7,168 expert reviews on a 1--5 Likert scale. These metrics, spanning document-based, semantic, structural, pseudo-ground truth, an…