Ali Shahin Shamsabadi
Ali Shahin Shamsabadi
Research Associate at The Alan Turing Institute, Visitor at Vector Institute
Verified email at turing.ac.uk - Homepage
Title
Cited by
Cited by
Year
A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics
SA Osia, AS Shamsabadi, A Taheri, HR Rabiee, N Lane, H Haddadi
IEEE Internet of Things Journal, 2020
1572020
QUOTIENT: Two-Party Secure Neural Network Training and Prediction
N Agrawal, AS Shamsabadi, MJ Kusner, A Gascón
26th ACM Conference on Computer and Communications Security (CCS), 2019, 2019
892019
Deep Private-Feature Extraction
SA Osia, A Taheri, AS Shamsabadi, K Katevas, H Haddadi, HR Rabiee
IEEE Transactions on Knowledge and Data Engineering, 2018
502018
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments
F Mo, AS Shamsabadi, K Katevas, S Demetriou, I Leontiadis, A Cavallaro, ...
ACM International Conference on Mobile Systems, Applications, and Services …, 2020
402020
ColorFool: Semantic Adversarial Colorization
AS Shamsabadi, R Sanchez-Matilla, A Cavallaro
Conference on Computer Vision and Pattern Recognition (CVPR), 2020
392020
Private and scalable personal data analytics using hybrid edge-to-cloud deep learning
SA Osia, AS Shamsabadi, A Taheri, HR Rabiee, H Haddadi
Computer 51 (5), 42-49, 2018
322018
Scene privacy protection
CY Li, AS Shamsabadi, R Sanchez-Matilla, R Mazzon, A Cavallaro
44th IEEE International Conference on Acoustics, Speech and Signal …, 2019
182019
EdgeFool: An Adversarial Image Enhancement Filter
AS Shamsabadi, C Oh, A Cavallaro
45th IEEE International Conference on Acoustics, Speech, and Signal …, 2020
112020
Privacy-preserving deep inference for rich user data on the cloud
SA Osia, AS Shamsabadi, A Taheri, K Katevas, HR Rabiee, ND Lane, ...
arXiv preprint arXiv:1710.01727, 2017
112017
Exploiting vulnerabilities of deep neural networks for privacy protection
R Sanchez-Matilla, CY Li, AS Shamsabadi, R Mazzon, A Cavallaro
IEEE Transactions on Multimedia 22 (7), 1862-1873, 2020
102020
PrivEdge: From Local to Distributed Private Training and Prediction
AS Shamsabadi, A Gascon, H Haddadi, A Cavallaro
IEEE Transactions on Information Forensics and Security (TIFS), 2020
102020
Distributed One-class Learning
AS Shamsabadi, H Haddadi, A Cavallaro
25th IEEE International Conference on Image Processing (ICIP), 2018, 4123-4127, 2018
102018
A new algorithm for training sparse autoencoders
AS Shamsabadi, M Babaie-Zadeh, SZ Seyyedsalehi, HR Rabiee, ...
25th European Signal Processing Conference (EUSIPCO), 2141-2145, 2017
82017
Towards characterizing and limiting information exposure in DNN layers
F Mo, AS Shamsabadi, K Katevas, A Cavallaro, H Haddadi
arXiv preprint arXiv:1907.06034, 2019
5*2019
FoolHD: Fooling speaker identification by Highly imperceptible adversarial Disturbances
AS Shamsabadi, FS Teixeira, A Abad, B Raj, A Cavallaro, I Trancoso
46th IEEE International Conference on Acoustics, Speech, and Signal …, 2021
32021
Semantically Adversarial Learnable Filters
AS Shamsabadi, C Oh, A Cavallaro
arXiv preprint arXiv:2008.06069, 2020
22020
Deep learning for privacy in multimedia
A Cavallaro, M Malekzadeh, AS Shamsabadi
Proceedings of the 28th ACM International Conference on Multimedia, 4777-4778, 2020
12020
Providing Occupancy as a Service with Databox
P Yadav, J Moore, Q Li, R Mortier, A Brown, A Crabtree, C Greenhalgh, ...
1st ACM International Workshop on Smart Cities and Fog Computing, 29-34, 2018
12018
When the Curious Abandon Honesty: Federated Learning Is Not Private
F Boenisch, A Dziedzic, R Schuster, AS Shamsabadi, I Shumailov, ...
arXiv preprint arXiv:2112.02918, 2021
2021
On the Reversibility of Adversarial Attacks
CY Li, R Sánchez-Matilla, AS Shamsabadi, R Mazzon, A Cavallaro
2021 IEEE International Conference on Image Processing (ICIP), 3073-3077, 2021
2021
The system can't perform the operation now. Try again later.
Articles 1–20