Ousmane Amadou Dia
Ousmane Amadou Dia
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Title
Cited by
Cited by
Year
Bayesian model-agnostic meta-learning
J Yoon, T Kim, O Dia, S Kim, Y Bengio, S Ahn
Proceedings of the 32nd International Conference on Neural Information …, 2018
2132018
Bayesian model-agnostic meta-learning
T Kim, J Yoon, O Dia, S Kim, Y Bengio, S Ahn
arXiv preprint arXiv:1806.03836, 2018
1162018
Adversarial examples in modern machine learning: A review
RR Wiyatno, A Xu, O Dia, A de Berker
arXiv preprint arXiv:1911.05268, 2019
352019
Computing System for Inferring Demographics Using Deep Learning Computations and Social Proximity on a Social Data Network
ED Kim, OA Dia, K Padmanabhan, PAL Koushik
US Patent App. 15/612,221, 2017
112017
Semantics Preserving Adversarial Learning
O Amadou Dia, E Barshan, R Babanezhad
arXiv, arXiv: 1903.03905, 2019
3*2019
Prediction System for Geographical Locations of Users Based on Social and Spatial Proximity, and Related Method
PAL Koushik, OA Dia, K Padmanabhan
US Patent App. 15/617,390, 2017
32017
Risk aware query replacement approach for secure databases performance management
OA Dia, C Farkas
IEEE Transactions on Dependable and Secure Computing 12 (2), 217-229, 2014
22014
Retrieving Signals with Deep Complex Extractors
C Trabelsi, O Bilaniuk, O Dia, Y Zhang, M Ravanelli, J Binas, ...
12019
Business Driven User Role Assignment: Nimble Adaptation of RBAC to Organizational Changes
OA Dia, C Farkas
International Journal of Information Security and Privacy (IJISP) 7 (1), 45-62, 2013
12013
Localized Uncertainty Attacks
O Amadou Dia, T Karaletsos, C Hazirbas, C Canton Ferrer, ...
arXiv e-prints, arXiv: 2106.09222, 2021
2021
Enabling Inference Privacy with Adaptive Noise Injection
S Kariyappa, O Dia, MK Qureshi
arXiv preprint arXiv:2104.02261, 2021
2021
Complex valued gating mechanisms
C Trabelsi, Y Zhang, OA Dia, CJ Pal, N Rostamzadeh
US Patent App. 16/556,316, 2020
2020
A Simulation-based Framework for Characterizing Predictive Distributions for Deep Learning
J Ai, B Gokkaya, IK Kabul, A Flower, E Emamjomeh-Zadeh, H Li, L Chen, ...
2020
Retrieving Signals in the Frequency Domain with Deep Complex Extractors
C Trabelsi, O Bilaniuk, O Dia, Y Zhang, M Ravanelli, J Binas, ...
2019
Manifold Preserving Adversarial Learning.
OA Dia, E Barshan, R Babanezhad
CoRR, 2019
2019
Access Control Frameworks For Rapidly Evolving Business Enterprises
OA Dia
University of South Carolina, 2013
2013
A Practical Framework for Policy Composition and Conflict Resolution
OA Dia, C Farkas
International Journal of Secure Software Engineering (IJSSE) 3 (4), 1-26, 2012
2012
Semantics Preserving Adversarial Examples
S Kariyappa, O Dia
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