Search Results for author: Nancirose Piazza

Found 2 papers, 0 papers with code

Mitigation of Adversarial Policy Imitation via Constrained Randomization of Policy (CRoP)

no code implementations29 Sep 2021 Nancirose Piazza, Vahid Behzadan

Deep reinforcement learning (DRL) policies are vulnerable to unauthorized replication attacks, where an adversary exploits imitation learning to reproduce target policies from observed behavior.

Imitation Learning

Adversarial Attacks on Deep Algorithmic Trading Policies

no code implementations22 Oct 2020 Yaser Faghan, Nancirose Piazza, Vahid Behzadan, Ali Fathi

Deep Reinforcement Learning (DRL) has become an appealing solution to algorithmic trading such as high frequency trading of stocks and cyptocurrencies.

Algorithmic Trading

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