Samuel Henrique Silva
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Opportunities and challenges in deep learning adversarial robustness: A survey
SH Silva, P Najafirad
arXiv preprint arXiv:2007.00753, 2020
Deep learning poison data attack detection
H Chacon, S Silva, P Rad
2019 IEEE 31st International Conference on Tools with Artificial …, 2019
Cooperative unmanned aerial vehicles with privacy preserving deep vision for real-time object identification and tracking
SH Silva, P Rad, N Beebe, KKR Choo, M Umapathy
Journal of parallel and distributed computing 131, 147-160, 2019
Temporal graph traversals using reinforcement learning with proximal policy optimization
SH Silva, A Alaeddini, P Najafirad
IEEE Access 8, 63910-63922, 2020
A multi-layer k-means approach for multi-sensor data pattern recognition in multi-target localization
S Silva, R Suresh, F Tao, J Votion, Y Cao
arXiv preprint arXiv:1705.10757, 2017
Safeguardpf: Safety guaranteed reactive potential fields for mobile robots in unknown and dynamic environments
RR Da Silva, S Silva, G Dubrovskiy, H Lin
arXiv preprint arXiv:1609.07006, 2016
Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification on Social Networks
SH Silva, A Das, A Aladdini, P Najafirad
Proceedings of the International AAAI Conference on Web and Social Media 16 …, 2022
Deepfake forensics analysis: An explainable hierarchical ensemble of weakly supervised models
SH Silva, M Bethany, AM Votto, IH Scarff, N Beebe, P Najafirad
Forensic Science International: Synergy 4, 100217, 2022
Robust Countermeasures for Adversarial Attacks on Deep Learning, Deep Reinforcement Learning, and Deepfake
SH Silva
The University of Texas at San Antonio, 2021
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