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Vahid Behzadan
Vahid Behzadan
Assistant Professor - University of New Haven
Verified email at newhaven.edu - Homepage
Title
Cited by
Cited by
Year
Technical Report on the CleverHans v2.1.0 Adversarial Examples Library
N Papernot, F Faghri, N Carlini, I Goodfellow, R Feinman, A Kurakin, ...
arXiv preprint arXiv:1610.00768v6 10, 2018
723*2018
Vulnerability of deep reinforcement learning to policy induction attacks
V Behzadan, A Munir
Machine Learning and Data Mining in Pattern Recognition: 13th International …, 2017
3292017
Security and privacy issues in intelligent transportation systems: Classification and challenges
D Hahn, A Munir, V Behzadan
IEEE Intelligent Transportation Systems Magazine 13 (1), 181-196, 2019
1452019
Whatever does not kill deep reinforcement learning, makes it stronger
V Behzadan, A Munir
arXiv preprint arXiv:1712.09344, 2017
722017
Adversarial reinforcement learning framework for benchmarking collision avoidance mechanisms in autonomous vehicles
V Behzadan, A Munir
IEEE Intelligent Transportation Systems Magazine 13 (2), 236-241, 2019
622019
Corpus and deep learning classifier for collection of cyber threat indicators in twitter stream
V Behzadan, C Aguirre, A Bose, W Hsu
2018 IEEE International Conference on Big Data (Big Data), 5002-5007, 2018
552018
A novel approach for detection and ranking of trendy and emerging cyber threat events in twitter streams
A Bose, V Behzadan, C Aguirre, WH Hsu
Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019
362019
Mitigation of policy manipulation attacks on deep q-networks with parameter-space noise
V Behzadan, A Munir
Computer Safety, Reliability, and Security: SAFECOMP 2018 Workshops, ASSURE …, 2018
312018
Adversarial exploitation of policy imitation
V Behzadan, W Hsu
arXiv preprint arXiv:1906.01121, 2019
262019
The faults in our pi stars: Security issues and open challenges in deep reinforcement learning
V Behzadan, A Munir
arXiv preprint arXiv:1810.10369, 2018
262018
Founding the domain of AI forensics
I Baggili, V Behzadan
arXiv preprint arXiv:1912.06497, 2019
252019
Sequential triggers for watermarking of deep reinforcement learning policies
V Behzadan, W Hsu
arXiv preprint arXiv:1906.01126, 2019
242019
A psychopathological approach to safety engineering in ai and agi
V Behzadan, A Munir, RV Yampolskiy
Computer Safety, Reliability, and Security: SAFECOMP 2018 Workshops, ASSURE …, 2018
242018
Sentimental liar: Extended corpus and deep learning models for fake claim classification
B Upadhayay, V Behzadan
2020 IEEE International Conference on Intelligence and Security Informatics …, 2020
182020
Cyber-physical attacks on uas networks-challenges and open research problems
V Behzadan
arXiv preprint arXiv:1702.01251, 2017
162017
Adaptive beam nulling in multihop ad hoc networks against a jammer in motion
S Bhunia, V Behzadan, PA Regis, S Sengupta
Computer Networks 109, 50-66, 2016
162016
Performance of adaptive beam nulling in multihop ad-hoc networks under jamming
S Bhunia, V Behzadan, PA Regis, S Sengupta
2015 IEEE 17th International Conference on High Performance Computing and …, 2015
132015
Rl-based method for benchmarking the adversarial resilience and robustness of deep reinforcement learning policies
V Behzadan, W Hsu
Computer Safety, Reliability, and Security: SAFECOMP 2019 Workshops, ASSURE …, 2019
112019
Emergence of addictive behaviors in reinforcement learning agents
V Behzadan, RV Yampolskiy, A Munir
arXiv preprint arXiv:1811.05590, 2018
112018
Technical report on the cleverhans v2. 1.0 adversarial examples library. arXiv
N Papernot, F Faghri, N Carlini, I Goodfellow, R Feinman, A Kurakin, ...
arXiv preprint arXiv:1610.00768, 2018
112018
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