Most market making algorithms work like -

  Market state                                     -> price forecast
  Price forecast + other factors (risk, liquidity) -> trading decision

If you know (or have a good guess) how the algorithm works, you can work out what state of the market would lead to a price forecast in your favour, i.e. would lead to the algorithm offering liquidity at a price favourable to you.

You then manipulate the state of the market to look like that (generally this is "spoofing" or "layering"), wait for the algorithm to respond, and then take advantage of the favourable liquidity it offers.

When people calibrate their algorithms, they use real market data. Most of the time, someone isn't actively manipulating the market, so the model is not calibrated to handle those situations.