AmirEmad Ghassami
Title
Cited by
Cited by
Year
Budgeted experiment design for causal structure learning
AE Ghassami, S Salehkaleybar, N Kiyavash, E Bareinboim
International Conference on Machine Learning, 1724-1733, 2018
262018
Learning causal structures using regression invariance
AE Ghassami, S Salehkaleybar, N Kiyavash, K Zhang
Advances in Neural Information Processing Systems, 3011-3021, 2017
262017
Fairness in supervised learning: An information theoretic approach
AE Ghassami, S Khodadadian, N Kiyavash
2018 IEEE International Symposium on Information Theory (ISIT), 176-180, 2018
212018
Sneak-peek: High speed covert channels in data center networks
R Tahir, MT Khan, X Gong, A Ahmed, AE Ghassami, H Kazmi, M Caesar, ...
INFOCOM 2016-The 35th Annual IEEE International Conference on Computer …, 2016
212016
Schedule-based side-channel attack in fixed-priority real-time systems
CY Chen, AE Ghassami, S Nagy, MK Yoon, S Mohan, N Kiyavash, ...
Proceedings of the IEEE Workshop on Security and Dependability of Critical …, 2016
192016
Capacity limit of queueing timing channel in shared FCFS schedulers
AE Ghassami, X Gong, N Kiyavash
2015 IEEE International Symposium on Information Theory (ISIT), 789-793, 2015
152015
Counting and sampling from Markov equivalent DAGs using clique trees
AE Ghassami, S Salehkaleybar, N Kiyavash, K Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 33, 3664-3671, 2019
112019
Multi-domain causal structure learning in linear systems
AE Ghassami, N Kiyavash, B Huang, K Zhang
Advances in neural information processing systems 31, 6266-6276, 2018
92018
A covert queueing channel in FCFS schedulers
AE Ghassami, N Kiyavash
IEEE Transactions on Information Forensics and Security 13 (6), 1551-1563, 2018
62018
Interaction information for causal inference: The case of directed triangle
AE Ghassami, N Kiyavash
2017 IEEE International Symposium on Information Theory (ISIT), 1326-1330, 2017
62017
A reconnaissance attack mechanism for fixed-priority real-time systems
CY Chen, AE Ghassami, S Mohan, N Kiyavash, RB Bobba, R Pellizzoni, ...
arXiv preprint arXiv:1705.02561, 2017
62017
On the role of sparsity and dag constraints for learning linear dags
I Ng, AE Ghassami, K Zhang
arXiv preprint arXiv:2006.10201, 2020
52020
Optimal experiment design for causal discovery from fixed number of experiments
AE Ghassami, S Salehkaleybar, N Kiyavash
arXiv preprint arXiv:1702.08567, 2017
52017
Interventional Experiment Design for Causal Structure Learning
AE Ghassami, S Salehkaleybar, N Kiyavash
arXiv preprint arXiv:1910.05651, 2019
42019
REORDER: Securing Dynamic-Priority Real-Time Systems Using Schedule Obfuscation
CY Chen, M Hasan, AE Ghassami, S Mohan, N Kiyavash
arXiv preprint arXiv:1806.01393, 2018
42018
A covert queueing channel in round robin schedulers
AE Ghassami, A Yekkehkhany, N Kiyavash
arXiv preprint arXiv:1701.08883, 2017
42017
Message partitioning and limited auxiliary randomness: Alternatives to Honey Encryption
AE Ghassami, D Cullina, N Kiyavash
2016 IEEE International Symposium on Information Theory (ISIT), 1371-1375, 2016
42016
Model-Augmented Conditional Mutual Information Estimation for Feature Selection
A Yang, AE Ghassami, M Raginsky, N Kiyavash, E Rosenbaum
36th Conference on Uncertainty in Artificial Intelligence (UAI) 124, 2020
2*2020
Characterizing Distribution Equivalence and Structure Learning for Cyclic and Acyclic Directed Graphs
AE Ghassami, A Yang, N Kiyavash, K Zhang
37th International Conference on Machine Learning (ICML), 2020
22020
Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables.
S Salehkaleybar, AE Ghassami, N Kiyavash, K Zhang
Journal of Machine Learning Research 21 (39), 1-24, 2020
22020
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