Ousmane Amadou Dia
Ousmane Amadou Dia
Други именаOusmane A. Dia, Ousmane Dia, DIA Ousmane
Meta, Inc.
Потвърден имейл адрес: fb.com - Начална страница
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
Bayesian model-agnostic meta-learning
T Kim, J Yoon, O Dia, S Kim, Y Bengio, S Ahn
arXiv preprint arXiv:1806.03836, 2018
Adversarial examples in modern machine learning: A review
RR Wiyatno, A Xu, O Dia, A De Berker
arXiv preprint arXiv:1911.05268, 2019
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
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
System and method for generating adversarial examples
DIA Ousmane
US Patent 11,157,772, 2021
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
Semantics Preserving Adversarial Learning
O Amadou Dia, E Barshan, R Babanezhad
arXiv, arXiv: 1903.03905, 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
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
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
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
Enabling inference privacy with adaptive noise injection
S Kariyappa, O Dia, MK Qureshi
arXiv preprint arXiv:2104.02261, 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
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
On Influence Functions, Classification Influence, Relative Influence, Memorization and Generalization
M Kounavis, O Dia, I Ramazanli
arXiv preprint arXiv:2305.16094, 2023
Semantics Preserving Adversarial Examples
S Kariyappa, O Dia
CVPR 2021 Workshop on Adversarial Machine Learning in Computer Vision, 2021
Complex valued gating mechanisms
C Trabelsi, Y Zhang, OA Dia, CJ Pal, N Rostamzadeh
US Patent App. 16/556,316, 2020
Articles for disrupting automated visual object tracking processes
A Xu, O DIA, R Wiyatno R
US Patent 20220058815A1, 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
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