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cs.LG2022★ 1 cited
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning
Laura L. Pullum
Reinforcement learning has received significant interest in recent years, due primarily to the successes of deep reinforcement learning at solving many challenging tasks such as pl…
cs.LG2020★ 1 cited
An Extension of Fano's Inequality for Characterizing Model Susceptibility to Membership Inference Attacks
Sumit Kumar Jha, Susmit Jha, Rickard Ewetz +4
Deep neural networks have been shown to be vulnerable to membership inference attacks wherein the attacker aims to detect whether specific input data were used to train the model.…