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.
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.