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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
Advances in neural information processing systems 31, 2018
3662018
Bayesian model-agnostic meta-learning
T Kim, J Yoon, O Dia, S Kim, Y Bengio, S Ahn
arXiv preprint arXiv:1806.03836, 2018
1342018
Adversarial examples in modern machine learning: A review
RR Wiyatno, A Xu, O Dia, A De Berker
arXiv preprint arXiv:1911.05268, 2019
792019
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
232017
Cider: Exploiting hyperspherical embeddings for out-of-distribution detection
Y Ming, Y Sun, O Dia, Y Li
arXiv preprint arXiv:2203.04450, 2022
62022
Semantics Preserving Adversarial Learning
O Amadou Dia, E Barshan, R Babanezhad
arXiv, arXiv: 1903.03905, 2019
4*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
42017
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
42014
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
32012
Localized Uncertainty Attacks
O Amadou Dia, T Karaletsos, C Hazirbas, C Canton Ferrer, ...
CVPR 2021 Workshop on Adversarial Machine Learning in Computer Vision, arXiv …, 2021
2*2021
Enabling inference privacy with adaptive noise injection
S Kariyappa, O Dia, MK Qureshi
arXiv preprint arXiv:2104.02261, 2021
22021
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
Y Ming, Y Sun, O Dia, Y Li
International Conference on Learning Representations (ICLR) 2023, 2023
12023
Retrieving Signals with Deep Complex Extractors
C Trabelsi, O Bilaniuk, O Dia, Y Zhang, M Ravanelli, J Binas, ...
Advances in Neural Information Processing Systems (NeurIPS) Deep Inverse …, 2019
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
Training set cleansing of backdoor poisoning by self-supervised representation learning
H Wang, S Karami, O Dia, H Ritter, E Emamjomeh-Zadeh, J Chen, ...
arXiv preprint arXiv:2210.10272, 2022
2022
System and method for generating adversarial examples
O Dia
US Patent US11157772B2, 2021
2021
Semantics Preserving Adversarial Examples
S Kariyappa, O Dia
CVPR 2021 Workshop on Adversarial Machine Learning in Computer Vision, 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, ...
ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning, 2020
2020
Manifold Preserving Adversarial Learning.
OA Dia, E Barshan, R Babanezhad
CoRR, 2019
2019
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