Hossein Hosseini
Hossein Hosseini
At Qualcomm AI. UW alum.
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
1072017
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
622017
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
552017
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
512017
Semantic adversarial examples
H Hosseini, R Poovendran
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
462018
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
402014
Fast restoration of natural images corrupted by high-density impulse noise
H Hosseini, F Marvasti
EURASIP Journal on Image and Video Processing 2013 (1), 15, 2013
39*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
152017
Deceiving google’s cloud video intelligence api built for summarizing videos
H Hosseini, B Xiao, R Poovendran
CVPR Workshop, 2017
13*2017
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
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
112016
New rectangular partitioning methods for lossless binary image compression
M Kafashan, H Hosseini, S Beygiharchegani, P Pad, F Marvasti
IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, 694-697, 2010
72010
A game theoretical framework for inter-process adversarial intervention detection
MO Sayin, H Hosseini, R Poovendran, T Başar
International Conference on Decision and Game Theory for Security, 486-507, 2018
62018
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
62018
Are odds really odd? bypassing statistical detection of adversarial examples
H Hosseini, S Kannan, R Poovendran
arXiv preprint arXiv:1907.12138, 2019
42019
Dropping pixels for adversarial robustness
H Hosseini, S Kannan, R Poovendran
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
42019
Modeling and Mitigating the Coremelt Attack
G Yang, H Hosseini, D Sahabandu, A Clark, J Hespanha, R Poovendran
ACC 2018, 2018
32018
Learning Equilibria in Stochastic Information Flow Tracking Games with Partial Knowledge
S Misra, S Moothedath, H Hosseini, J Allen, L Bushnell, W Lee, ...
CDC 2019, 2019
22019
Learning temporal dependence from time-series data with latent variables
H Hosseini, S Kannan, B Zhang, R Poovendran
2016 IEEE International Conference on Data Science and Advanced Analytics …, 2016
22016
Image Block Loss Restoration Using Sparsity Pattern as Side Information
H Hosseini, A Goli, NB Marvasti, M Azghani, F Marvasti
arXiv preprint arXiv:1401.5966, 2014
22014
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