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Earlier sources: Security
Digital security protects systems, software, accounts, and information from misuse. Explore cybersecurity, vulnerabilities, threat intelligence, cryptography, privacy, and identity, with links to the underlying advisories and research.
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 ↗658 classified signals in the fourteen-day window. Recent momentum: steady. 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
Codex Security Cloud ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
GLM-5.3 and the spread of advanced cyber capabilities ↗
Hacker News discussion.
- arXiv · Published · First archived
Classical Verification of Quantum Computation with Quasilinear Resources, from Compiled Nonlocal Games ↗
Computational self-testing gives a classical verifier command over the quantum register of a single computationally bounded prover. We use this framework to construct the first argument system for BQP with quasilinear total resource requirements in the circuit model. Our argument system is based on the learning with errors (LWE) assumption and requires total resources of $O(\mathrm{poly}(λ, \log g)\cdot g)$ for delegating a circuit with $g$ gates, where $λ$ is the LWE security parameter. This is achieved by constructing a new computational self-test for certifying the prover's quantum state an…
- arXiv · Published · First archived
A Function-level Dataset of Vulnerable and Fixed Source Code in JavaScript and TypeScript ↗
JavaScript and TypeScript are widely used in modern web development, making their security critical; however, automated vulnerability detection is often constrained by the availability of high-quality training data. Here we present JsVul, a dataset curated from seven major sources. Unlike generic multi-language datasets that may retain noise -- such as minified code and cosmetic edits -- JsVul utilizes a language-specific pipeline. We collected pre-fix and post-fix versions of files around security fixes and, by filtering irrelevant artifacts and applying automated syntax normalization, isolat…
- arXiv · Published · First archived
Dagger: Decoupling-based Model Stealing Attack against Graph Neural Networks ↗
As Graph Neural Networks (GNNs) are widely deployed as Machine Learning-as-a-Service (MLaaS) APIs, model stealing attacks have emerged as a critical security threat. By querying a victim model's black-box API, an adversary can construct a functionally equivalent surrogate model, compromising proprietary intellectual property and downstream security. Existing GNN stealing attacks, however, rely on overly permissive assumptions, such as soft-label outputs, large query budgets, full-graph query access, and prior knowledge of victim backbones that rarely hold in real-world deployments. In this wor…
- GitHub · Repository created · First archived
saadnahid7/VirtualNet ↗
Open-source Xposed module: choose per app whether it sees Wi-Fi, mobile data, or both. Android 9+. By DroidRooter.
- Hacker News · Posted on Hacker News · First archived
Car's data privacy problems are worse than you think ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Every model (incl. Jev) we tested inflates security finding severity ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Enforce positive security with Cloudflare Application Profiles ↗
Hacker News discussion.
- arXiv · Published · First archived
Selective Channel Restoration for Backdoored Vision-Language Models ↗
Vision-language models (VLMs) exhibit strong multimodal capabilities but remain vulnerable to backdoors implanted through poisoned fine-tuning data. Existing defenses often require extensive parameter updates during fine-tuning or incur per-query overhead during inference. To address these limitations, we propose Perturb-Select-Restore (PSR), a post-training defense that performs sparse updates to the projection interface and introduces no additional computation during inference. We reveal that backdoored VLM projectors are substantially more sensitive to bounded perturbations than clean VLM p…
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about Security
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.