I missed the ECCC posting at the time, but picked up from the monthly review of the Property Testing Review. I reproduce Gautam Kamath's take on this paper, which reads
This paper proves a number of new lower bounds for tolerant testing of Boolean functions, including non-adaptive k-junta testing and adaptive and non-adaptive unateness testing. Combined with upper bounds for these and related problems, these results establishes separation between the complexity of tolerant and non-tolerant testing for natural properties of Boolean functions, which have so far been elusive.Let me add that I disagree with the authors' claim to introducing a (new) model for testing graph properties. In my opinion, what they introduce is a technique for proving lower bounds on property testing tasks. Indeed, their proof technique consists of showing that too good testers for such tasks yield an algorithm for distinguishing balanced bicliques from their complements that violates a (easy to prove) lower bound regarding a rather weird complexity measure.
We introduce a new model for testing graph properties which we call the \emph{rejection sampling model}. We show that testing bipartiteness of n-nodes graphs using rejection sampling queries requires complexity tildeOmega(n^2). Via reductions from the rejection sampling model, we give three new lower bounds for tolerant testing of Boolean functions of the form f:\{0,1\}^n\to\{0,1\}
See ECCC TR18-094.