  We consider a multi-agent consensus problem in the presence of adversarial
agents. The adversaries are able to listen to the inter-agent communications
and try to estimate the state of the agents. The agents have a limited bit-rate
for communication and are required to quantize the transmitted signal in order
to meet the bit-rate constraint of the communication channel. We propose a
consensus protocol that is protected against the adversaries, i.e., the
expected mean-square error of the adversary state estimate is lower bounded. In
order to deal with the bit-rate constraint, we propose a dynamic quantization
scheme that guarantees protected consensus.
