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Hossein Hosseini
Hossein Hosseini
Apple
Verified email at uw.edu
Title
Cited by
Cited by
Year
Deceiving google's perspective api built for detecting toxic comments
H Hosseini, S Kannan, B Zhang, R Poovendran
arXiv preprint arXiv:1702.08138, 2017
3452017
Semantic adversarial examples
H Hosseini, R Poovendran
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1992018
On the Limitation of Convolutional Neural Networks in Recognizing Negative Images
H Hosseini, B Xiao, M Jaiswal, R Poovendran
Machine Learning and Applications (ICMLA), 2017 16th IEEE International …, 2017
1672017
Blocking transferability of adversarial examples in black-box learning systems
H Hosseini, Y Chen, S Kannan, B Zhang, R Poovendran
arXiv preprint arXiv:1703.04318, 2017
1502017
Google's cloud vision api is not robust to noise
H Hosseini, B Xiao, R Poovendran
2017 16th IEEE international conference on machine learning and applications …, 2017
1442017
Real-time impulse noise suppression from images using an efficient weighted-average filtering
H Hosseini, F Hessar, F Marvasti
IEEE Signal Processing Letters 22 (8), 1050-1054, 2014
692014
Fast restoration of natural images corrupted by high-density impulse noise
H Hosseini, F Marvasti
EURASIP Journal on Image and Video Processing 2013, 1-7, 2013
58*2013
Attacking Automatic Video Analysis Algorithms: A Case Study of Google Cloud Video Intelligence API
H Hosseini, B Xiao, A Clark, R Poovendran
Proceedings of the 2017 on Multimedia Privacy and Security, 21-32, 2017
342017
Assessing shape bias property of convolutional neural networks
H Hosseini, B Xiao, M Jaiswal, R Poovendran
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
322018
Are odds really odd? bypassing statistical detection of adversarial examples
H Hosseini, S Kannan, R Poovendran
arXiv preprint arXiv:1907.12138, 2019
232019
Deceiving google’s cloud video intelligence api built for summarizing videos
H Hosseini, B Xiao, R Poovendran
CVPR Workshop, 2017
22*2017
Federated Learning of User Verification Models Without Sharing Embeddings
H Hosseini, H Park, S Yun, C Louizos, J Soriaga, M Welling
ICML '21, 2021
202021
Despicable me (ter): Anonymous and fine-grained metering data reporting with dishonest meters
M Ambrosin, H Hosseini, K Mandal, M Conti, R Poovendran
2016 IEEE conference on communications and network security (CNS), 163-171, 2016
202016
Federated learning of user authentication models
H Hosseini, S Yun, H Park, C Louizos, J Soriaga, M Welling
arXiv preprint arXiv:2007.04618, 2020
192020
Unsupervised information obfuscation for split inference of neural networks
M Samragh, H Hosseini, A Triastcyn, K Azarian, J Soriaga, F Koushanfar
arXiv preprint arXiv:2104.11413, 2021
132021
Dropping pixels for adversarial robustness
H Hosseini, S Kannan, R Poovendran
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
122019
Battery degradation temporal modeling using lstm networks
M Assefi, A Hooshmand, H Hosseini, R Sharma
2018 17th IEEE international conference on machine learning and applications …, 2018
12*2018
Verifiable and privacy-preserving fine-grained data-collection for smart metering
M Ambrosin, H Hosseini, K Mandal, M Conti, R Poovendran
2015 IEEE Conference on Communications and Network Security (CNS), 655-658, 2015
122015
Modeling and Mitigating the Coremelt Attack
G Yang, H Hosseini, D Sahabandu, A Clark, J Hespanha, R Poovendran
ACC 2018, 2018
102018
A game theoretical framework for inter-process adversarial intervention detection
MO Sayin, H Hosseini, R Poovendran, T Başar
Decision and Game Theory for Security: 9th International Conference, GameSec …, 2018
82018
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