7 dated technical articles. These pages record the methods and claims as published; follow each article's source links and update notes for its current scope.
How Voidly serves the anomaly classifier as a live inference API — feature extraction from raw probe measurements in under 5ms, ONNX Runtime for portable model serving, five-class output with per-class probabilities, Cloudflare Worker routing to regional inference nodes, model versioning with champion/challenger shadow mode, and the latency budget that keeps end-to-end probe-to-verdict under 50ms.
Censorship and information control · Machine learning and OSINT · Engineering and infrastructure
How Voidly converts a trained XGBoost censorship classifier to ONNX for serving inside a Rust ingestion service: the sklearn-to-ONNX export pipeline with zipmap=False for zero-copy float32 probability tensors, ONNX Runtime session configuration with per-thread isolation and L3 graph optimization, opset 17 pinning with metadata validation, and batch inference benchmarks achieving p99 under 50ms at batch size 200 on 4 vCPUs.
Censorship and information control · Machine learning and OSINT
How Voidly transforms raw probe measurements into the 47-feature vector that feeds the anomaly classifier: the ControlDelta struct, DNS features (NXDOMAIN injection, bogon IPs, known injection IPs), TCP features (RST timing, SYN-ACK count), TLS features (MITM cert detection, alert codes), HTTP features (blockpage SimHash score, body length ratio), and the LRU control cache design that prevents doubling probe cost.
Censorship and information control · Machine learning and OSINT
How Voidly probes adapt their measurement schedule to device resource constraints: four constraint checks (battery floor, thermal throttle, cellular daily cap, unknown network), sliding-window cellular data accounting with per-minute SQLite buckets, adaptive cycle length that scales domain count to remaining budget via a 28,000-byte-per-measurement estimate, and a priority queue scoring domains on staleness (0.50), config priority flag (0.35), and anomaly recency (0.15).
Censorship and information control · Engineering and infrastructure
How Voidly selects and maintains the domains it probes for censorship: Citizen Lab's global test list, 12 OONI category codes, per-country supplemental lists, the measurement budget problem, and why the test list is a political document.
Censorship and information control · Engineering and infrastructure
How Voidly protects probe operators in jurisdictions that criminalize censorship measurement: strict data minimization (no name, address, or IP logging), WireGuard peer-key authentication, daily probe ID pseudonymization, optional Tor hidden service upload, measurement scrubbing, country-tier legal risk assessments, and a one-tap emergency stop with full data erasure.
Censorship and information control · Cybersecurity and privacy · Engineering and infrastructure
How a new Voidly probe operator goes from application to publishing measurements: on-device X25519 key generation in the Tauri app, probe registration and ASN verification, 48-hour warmup period with calibration measurements, quality scoring at promotion, and what happens when warmup calibration fails.
Censorship and information control · Engineering and infrastructure