THE INTERNET IS THINKING
Earlier sources: Privacy
This security thread follows privacy through original research, public projects, and source reports. Read the evidence below to see which developments are represented in SYMTRI’s archive.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗116 classified signals in the fourteen-day window. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- Hacker News · Posted on Hacker News · First archived
Show HN: Privacy first local backup tool for Notion ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Dicty – Privacy-first local voice dictation and dev documentation tool ↗
Hacker News discussion.
- GitHub · Repository created · First archived
kingrishabdugar/fizzdoc ↗
Free, private PDF, image, audio, Word, Excel & PowerPoint tools that run 100% in your browser. Compress, convert, edit, redact, OCR, cut MP3, Excel↔JSON, Mermaid to PNG/SVG. No uploads, no sign-up, no watermark. Free forever · 64 tools · 16 languages.
- GitHub · Repository created · First archived
wxk66/private-diary ↗
A fully offline, calendar-style private journal — PWA + Android APK. No account, no network, bilingual (中文 / English).
- Hacker News · Posted on Hacker News · First archived
Privacy-First Natural Language to SQL, No LLMs, No Uploads ↗
Hacker News discussion.
- OpenAlex · Published · First archived
Sensitive-aware graph neural network for privacy leakage traceability in scan-to-order systems ↗
Abstract Scan-to-order systems route user data through merchants, payment gateways, cloud services, and third-party analytics providers in a single transaction flow. This multi-entity architecture makes privacy leakage difficult to trace: a sensitive record may travel five or six hops before reaching an unauthorised party, and the intermediate steps look identical to legitimate business traffic. Existing rule-based provenance tools and static graph models break down at this scale because they treat every data flow as equally important and cannot attribute causal responsibility to specific edge…
- arXiv · Published · First archived
FinancialAuditBench: Benchmark Construction under Differential Privacy Using Real-World Priors ↗
As AI agents are becoming widely adopted in the financial services industry, careful measurement is essential to understand where they can be reliably deployed and where oversight and professional review remain necessary. Such measurement, however, is constrained by limited access to proprietary or privacy-sensitive data. Existing benchmarks therefore often rely on publicly available data, human- and/or LLM-authored tasks, or simplified settings. We introduce FinancialAuditBench, a benchmark for evaluating agents on financial statement audit tasks, along with a framework for systematically gen…
- GitHub · Repository created · First archived
ovasendin/markdown_preview_editor ↗
Self-hosted, privacy-first Markdown editor & live preview. Documents never leave your browser: no backend, no tracking, strict CSP, sandboxed preview.
- arXiv · Published · First archived
Learning to Refer: Client-Resolved Generation for Privacy-Aware Language Models ↗
Cloud-based large language models (LLMs) require users to disclose plaintext data to service providers, creating privacy risks in sensitive domains. Existing privacy-preserving approaches often trade utility for protection, incur substantial computational or communication overhead, remain vulnerable to reconstruction from intermediate representations, or protect only a subset of the training and inference pipeline. We introduce Client-Resolved Generation (CRG), a genera- tion interface that separates server-side generation from the lexical realization of input-derived content. The client trans…
- Hacker News · Posted on Hacker News · First archived
Privacy-focused general productivity webapp ↗
Hacker News discussion.
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about Privacy
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
See the collection and counting methodology ↗ · Read the weekly synthesis ↗
Related threads
Explore related regions
These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.