Behzad Asadi
Orcid: 0000-0003-3364-8375
According to our database1,
Behzad Asadi
authored at least 16 papers
between 2014 and 2020.
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Bibliography
2020
Towards a Robust Classifier: An MDL-Based Method for Generating Adversarial Examples.
Proceedings of the 19th IEEE International Conference on Trust, 2020
2019
An MDL-Based Classifier for Transactional Datasets with Application in Malware Detection.
CoRR, 2019
Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019
Proceedings of the 2019 IEEE Information Theory Workshop, 2019
2018
A Simplified Coding Scheme for the Broadcast Channel with Complementary Receiver Side Information under Individual Secrecy Constraints.
CoRR, 2018
Proceedings of the IEEE Information Theory Workshop, 2018
Proceedings of the IEEE Information Theory Workshop, 2018
2017
The DoF Region of the Three-Receiver Gaussian MIMO Broadcast Channel With Receiver Message Side Information.
IEEE Trans. Commun., 2017
Leveraging Receiver Message Side Information in Two-Receiver Broadcast Channels: A General Approach †.
Entropy, 2017
2016
The DoF Region of the Three-Receiver MIMO Broadcast Channel with Side Information and Its Relation to Index Coding Capacity.
CoRR, 2016
A unified inner bound for the two-receiver memoryless broadcast channel with channel state and message side information.
Proceedings of the IEEE International Symposium on Information Theory, 2016
2015
Optimal Coding Schemes for the Three-Receiver AWGN Broadcast Channel With Receiver Message Side Information.
IEEE Trans. Inf. Theory, 2015
A unified scheme for two-receiver broadcast channels with receiver message side information.
Proceedings of the IEEE International Symposium on Information Theory, 2015
2014
IEEE Commun. Lett., 2014
Coding schemes for a class of receiver message side information in AWGN broadcast channels.
Proceedings of the 2014 IEEE Information Theory Workshop, 2014
The capacity of three-receiver AWGN broadcast channels with receiver message side information.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014