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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 ↗674 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.
- arXiv · Published · First archived
Beyond NISQ Assumptions: One-time Memory in the Classically Accessible Random-Oracle Model ↗
Quantum information enables many cryptographic primitives that are impossible in the classical world. A line of works has developed cryptographic protocol under the assumption that quantum adversaries are restricted to noisy intermediate-scale quantum (NISQ) computing power, enabling strong one-time functionalities. But the advent of early fault-tolerant quantum computers eras will allow deeper logical quantum circuits, calling into questions the applicability of these NISQ-based assumptions. In this work, we adapt the classically accessible random oracle model (CAROM) as in [BDF+11] and [AK22…
- arXiv · Published · First archived
VulContextBench: A Benchmark for Security Context Retrieval in Coding Agents ↗
Vulnerability-detection benchmarks score the verdict an agent reaches, not the evidence it gathered. A model that recalls a CVE from pretraining therefore scores the same as one that traced the data flow. We study a task where this difference matters, deciding whether a commit introduces a vulnerability. Instead of scoring the verdict, we score whether the agent retrieved the code its conclusion depends on. We present VulContextBench, a benchmark of 111 vulnerability-introducing commits (VICs) across 83 repositories, 63 CWEs, and five languages. Existing datasets label such commits by tracing…
- arXiv · Published · First archived
Reading Is Not Leaking: Local, Auditable Measurement and Reduction of Inference Exposure from Public Footprints ↗
Anyone with a public footprint leaks facts that were never stated, and language models make the inference cheap. We present a framework for measuring and reducing this inference exposure that runs on the owner's own CPU with no language model at analysis time, instantiated on organisations and on individuals. It starts from a measurement result: scoring an inference system against the target's private truth conflates how well the system reads the record with how much the record leaks. On a 128-question instrument over sixteen synthetic firms, almost half of the questions are never answered cor…
- arXiv · Published · First archived
REFINE: A Resilient Evolution Framework for Intelligent Enterprise Alert Triage in Security Operations Centers ↗
Security Operations Centers (SOCs) process large volumes of alerts daily. Alert triage prioritizes high-risk threats while reducing manual review of benign alerts. LLM agents can reason over logs and threat intelligence, but struggle to keep aligned with organization-specific, rapidly evolving SOC operational standards. We introduce REFINE, an LLM-agent framework for enterprise alert triage. REFINE encodes analyst expertise as structured skills and continuously adapts using analyst disposition feedback. It enforces recall = 1.0 as a hard constraint during evolution to maximize auto-closure of…
- Hacker News · Posted on Hacker News · First archived
A security website that is a filesystem ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Privacy-focused general productivity webapp ↗
Hacker News discussion.
- OpenAlex · Published · First archived
Local versus central differential privacy under final-model privacy attacks in low-client-count cross-silo federated learning ↗
Federated learning reduces the need to centralize raw data, but does not prevent privacy leakage from client updates, aggregation messages, or the final released model. This work compares local differential privacy (LDP), central differential privacy (CDP), record-level differentially private stochastic gradient descent (DP-SGD), and secure aggregation (SecAgg) in a low-client-count cross-silo setting with full client participation, across four datasets spanning image classification, tabular binary classification, and two time-series forecasting tasks. The study separates training-time confide…
- OpenAlex · Published · First archived
Behavioural biometrics-based continuous authentication using transformer networks for detecting insider-threat session hijacking ↗
Abstract Insider threats, in which a legitimate user’s already-authenticated session is taken over by another enrolled individual, evade one-time login authentication because the session is trusted before the takeover occurs. Continuous authentication, which re-verifies the user throughout a session from behavioural signals, is a natural defence. We study behavioural-biometric continuous authentication from keystroke dynamics and ask whether a Transformer network can detect insider session hijacking more reliably than established detectors. Using the public CMU keystroke-dynamics benchmark of…
- OpenAlex · Published · First archived
FASP: A Fault-Aware Hardware/Software Partitioning Framework for Security Verification in Reliable Digital Microfluidic Biochips ↗
The existing computer-aided design approaches for Digital Microfluidic Biochips focus on optimising execution time and electrode utilisation, but overlook security verification overhead as a synthesis constraint. The advanced detection method, based on ResNet-50 deep neural networks with 98% accuracy, requires three to four orders of magnitude more computational capacity (3.8 GFLOPS) than the embedded biochip controllers. Existing reactive recovery approaches suffer from prohibitive latency, with re-synthesis algorithms requiring seconds to 33 minutes on desktop processors, causing timing viol…
- OpenAlex · Published · First archived
The security of practical post-selection in Gaussian-modulated continuous-variable quantum key distribution ↗
Abstract Gaussian-modulated coherent-state (GMCS) continuous-variable quantum key distribution (CV-QKD) offers a practical path to quantum-secured communication owing to its compatibility with existing optical fibre networks and use of mature security proofs. Achieving high secret key rates in real-time systems, however, requires post-processing schemes that are both information-theoretically efficient and computationally scalable. In previous experimental work 1 , we have demonstrated record real-time key rates using a one-round sliced reconciliation scheme with guard-band post-selection. Her…
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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.
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