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Adversarial Stimuli: Attacking Brain-Computer Interfaces via Perturbed Sensory Events


Nov 18, 2022
Bibek Upadhayay, Vahid Behzadan


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


Sep 29, 2021
Nancirose Piazza, Vahid Behzadan

* 5 pages not including references; 7 figures; more figures in supplements 

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Adversarial Poisoning Attacks and Defense for General Multi-Class Models Based On Synthetic Reduced Nearest Neighbors


Feb 11, 2021
Pooya Tavallali, Vahid Behzadan, Peyman Tavallali, Mukesh Singhal

* 15 pages 

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Adversarial Attacks on Deep Algorithmic Trading Policies


Oct 22, 2020
Yaser Faghan, Nancirose Piazza, Vahid Behzadan, Ali Fathi

* 17 pages - under submission 

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Sentimental LIAR: Extended Corpus and Deep Learning Models for Fake Claim Classification


Sep 01, 2020
Bibek Upadhayay, Vahid Behzadan

* Under review at IEEE ISI '20 

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Founding The Domain of AI Forensics


Dec 11, 2019
Ibrahim Baggili, Vahid Behzadan

* Accepted for presentation at SafeAI2020 

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A Novel Approach for Detection and Ranking of Trendy and Emerging Cyber Threat Events in Twitter Streams


Jul 12, 2019
Avishek Bose, Vahid Behzadan, Carlos Aguirre, William H. Hsu

* 9 pages, 3 figures, and 5 tables 

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Sequential Triggers for Watermarking of Deep Reinforcement Learning Policies


Jun 03, 2019
Vahid Behzadan, William Hsu


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Adversarial Exploitation of Policy Imitation


Jun 03, 2019
Vahid Behzadan, William Hsu


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Analysis and Improvement of Adversarial Training in DQN Agents With Adversarially-Guided Exploration (AGE)


Jun 03, 2019
Vahid Behzadan, William Hsu


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