research/reports/blend/data/timing/adversary.parquet
Marcin Pawlowski fb49a790fc
blend: make sections 3.11 and the attribution bracket reproducible
Review finding: the timing study and the neighbourhood-confidence numbers were
produced by ad-hoc analysis, not by the simulator. timing_linkability,
neighbourhood_confidence and mean_upstream_hops had no callers outside their own
modules; min_blend_delay and release_mode were declared on SweepConfig, validated
and keyed, but never read by sweep.py, so a YAML setting them was silently
ignored; and propagation.py called mix_wait without the minimum, leaving the knob
inert on the delay tables of 3.1-3.2. Section 6 promised every number was
reproducible and data/README claimed to hold the evidence behind every number --
both were false for 3.11.

Now wired end to end: release_designs() is a real sweep axis, the engine measures
the timing attack per design and records it in traffic.parquet, and the deanon
table carries the full attribution bracket (local confidence, attributable
fractions, upstream hops, neighbourhood confidence). Added configs/timing.yaml
and a make target.

The committed sweep reproduces 3.11: MAP success 0.993/0.905/0.683 for clock and
0.989/0.832/0.550 for jitter across the swept rates, and the minimum interval
changes nothing (0.993 vs 0.993). Evidence checked in under data/timing.

Three regression tests pin the wiring so a measure cannot go back to living only
in analysis.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-06 18:00:01 +02:00

8.7 KiB