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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 ↗115 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.
- arXiv · Published · First archived
Privacy Foundations for Multi-Institutional Scientific Artificial Intelligence ↗
Scientific artificial intelligence (AI), spanning foundation models (FMs) to federated data-analysis pipelines, is becoming shared infrastructure across national laboratories, universities, hospitals, and industrial partners. This collaboration creates privacy risks whose natural unit is often an institution's participation, research strategy, or technical capability rather than a single record. Differential privacy (DP), federated learning (FL), secure computation, trusted execution, and provenance each protect parts of the stack, but their guarantees rarely compose across mixed-trust institu…
- GitHub · Repository created · First archived
Bingblop/ADB-Application-Manager ↗
Privacy-first full featured application and device control using ADB/Shizuku/Wireless Debugging/Root. A swiss army knife of ADB possible features.
- arXiv · Published · First archived
PrivCert: Certifying Statement Support under Differential Privacy ↗
Differentially private (DP) text generation can protect individual records, but privacy alone does not specify what evidence a released statement carries about the underlying data. We identify this as an evidence gap: a private report may contain plausible claims without indicating whether they are strongly supported by the private dataset. We introduce PrivCert, a framework for privacy-preserving reporting that makes statement support explicit through privacy-preserving certificates and emit-or-abstain decisions. As a canonical instantiation, PrivCert-PF (Proposal-and-Filter) separates data-i…
- arXiv · Published · First archived
SparLeak: Privacy Leakage from Sparse Attention in LLM Inference on Shared GPUs ↗
Sparse attention is widely used to accelerate long-context inference in modern large language models (LLMs), but its input-dependent execution behavior introduces previously unexplored privacy risks. We identify a new GPU micro-architectural side channel, termed Sparsity-Induced Memory Access (SIMA), which arises from secret-dependent key-value cache access patterns induced by sparse attention. Based on this observation, we present SparLeak, a phase-aware side-channel attack that extracts SIMA traces during LLM inference and enables two practical privacy extractions: query attribute inference…
- OpenAlex · Published · First archived
Privacy-Preserving Identity-Based Undeniable Signatures from Lattices with Controlled Verifiability for IoT Networks ↗
The Internet of Things (IoT) network plays an important role in production and people’s daily life. IoT networks generally face security problems of privacy leakage and message denial. To protect the privacy of IoT data and users, this paper first introduces a controlled verification model for IoT networks and then proposes an identity-based undeniable signature (ID-US) scheme. This controlled verification model establishes a secure IoT data-sharing channel with blockchain technology, which reduces data tampering and inconsistency. This ID-US scheme is constructed with lattice cryptography, wh…
- OpenAlex · Published · First archived
Online privacy protection: How the varieties of democracy matter ↗
Abstract Digital technologies have enabled the gathering, storing, and processing of large amounts of data in increasing and unprecedented ways. This has triggered concerns regarding governments’ ability to harvest vast amounts of information on citizens and the consequences of this surveillance on democracy. The reliance of many democracies on digital (surveillance) technologies in response to the 2019 Coronavirus pandemic has amplified these concerns. While most studies focus on how privacy violations affect democracy, this study analyzes how variations in democracy affect the legal protecti…
- OpenAlex · Published · First archived
Hiding Identity, Preserving Respiration: Semantic-Decoupled Privacy Protection for mmWave Radar Sensing ↗
Millimeter-wave (mmWave) radar-based respiratory sensing has attracted increasing attention due to its contactless, unobtrusive nature and high sensitivity to micro-motions. However, mmWave radar signals inevitably encode identity-sensitive information beyond respiration, raising serious privacy concerns. Existing privacy protection strategies are often coarsegrained or indiscriminately applied, leading to substantial degradation in respiratory sensing performance. To address these issues, we propose P 2 CRM , an identity-preserving mmWave radar-based contactless respiratory sensing system tha…
- GitHub · Repository created · First archived
munzzyy/tern ↗
Installs and updates Android apps straight from their developers, and checks every file first. Phones, tablets and Android TV.
- GitHub · Repository created · First archived
SysAdminDoc/HushThreads ↗
HushThreads v0.0.11: Morphe patches that take the ads out of your Threads feed and clean the links you share. 11 patches for Threads 449.0.0.54.82.
- GitHub · Repository created · First archived
SysAdminDoc/HushGram ↗
HushGram v0.0.5: Morphe patches for Instagram on Android that hide ads and suggested posts, clean the links you share and stop analytics uploads. 48 patches for Instagram 449.0.0.52.84.
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 ↗
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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.