Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning

no code implementations • 22 Mar 2022 • Laura L. Pullum

We believe that this is the first comprehensive review of stability, robustness and resilience specifically geared towards reinforcement learning.

reinforcement-learning Reinforcement Learning (RL)

An Extension of Fano's Inequality for Characterizing Model Susceptibility to Membership Inference Attacks

no code implementations • 17 Sep 2020 • Sumit Kumar Jha, Susmit Jha, Rickard Ewetz, Sunny Raj, Alvaro Velasquez, Laura L. Pullum, Ananthram Swami

We present a new extension of Fano's inequality and employ it to theoretically establish that the probability of success for a membership inference attack on a deep neural network can be bounded using the mutual information between its inputs and its activations.

Inference Attack Membership Inference Attack