Следене
Ousmane Amadou Dia
Ousmane Amadou Dia
Други именаOusmane A. Dia, Ousmane Dia, DIA Ousmane
Meta, Inc.
Потвърден имейл адрес: fb.com - Начална страница
Заглавие
Позовавания
Позовавания
Година
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
4662018
Bayesian model-agnostic meta-learning
T Kim, J Yoon, O Dia, S Kim, Y Bengio, S Ahn
arXiv preprint arXiv:1806.03836, 2018
1542018
Adversarial examples in modern machine learning: A review
RR Wiyatno, A Xu, O Dia, A De Berker
arXiv preprint arXiv:1911.05268, 2019
1182019
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
102*2023
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
352017
System and method for generating adversarial examples
DIA Ousmane
US Patent 11,157,772, 2021
72021
Training set cleansing of backdoor poisoning by self-supervised representation learning
H Wang, S Karami, O Dia, H Ritter, E Emamjomeh-Zadeh, J Chen, ...
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
52023
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
52017
Semantics Preserving Adversarial Learning
O Amadou Dia, E Barshan, R Babanezhad
arXiv, arXiv: 1903.03905, 2019
4*2019
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
Enabling inference privacy with adaptive noise injection
S Kariyappa, O Dia, MK Qureshi
arXiv preprint arXiv:2104.02261, 2021
32021
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
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
On Influence Functions, Classification Influence, Relative Influence, Memorization and Generalization
M Kounavis, O Dia, I Ramazanli
arXiv preprint arXiv:2305.16094, 2023
2023
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
Articles for disrupting automated visual object tracking processes
A Xu, O DIA, R Wiyatno R
US Patent 20220058815A1, 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
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