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Reza Shokri
Reza Shokri
National University of Singapore; Microsoft
Correu electrònic verificat a comp.nus.edu.sg - Pàgina d'inici
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Membership Inference Attacks against Machine Learning Models
R Shokri, M Stronati, C Song, V Shmatikov
IEEE Symposium on Security and Privacy (S&P), Oakland, 2017
54272017
Privacy-Preserving Deep Learning
R Shokri, V Shmatikov
ACM Conference on Computer and Communications Security (CCS), 2015
29632015
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning
M Nasr, R Shokri, A Houmansadr
IEEE Symposium on Security and Privacy (S&P), Oakland, 2019
2057*2019
Quantifying Location Privacy
R Shokri, G Theodorakopoulos, JY Le Boudec, JP Hubaux
IEEE Symposium on Security and Privacy (S&P), Oakland, 2011
9602011
Machine Learning with Membership Privacy using Adversarial Regularization
M Nasr, R Shokri, A Houmansadr
ACM Conference on Computer and Communications Security (CCS), 2018
5592018
Protecting Location Privacy: Optimal Strategy Against Localization Attacks
R Shokri, G Theodorakopoulos, C Troncoso, JP Hubaux, JY Le Boudec
ACM conference on Computer and Communications Security (CCS), 2012
5342012
Privacy Risks of Securing Machine Learning Models against Adversarial Examples
L Song, R Shokri, P Mittal
ACM Conference on Computer and Communications Security (CCS), 2019
397*2019
Synthesizing Plausible Privacy-Preserving Location Traces
V Bindschaedler, R Shokri
IEEE Symposium on Security and Privacy (S&P), Oakland, 2016
2702016
Enhanced Membership Inference Attacks against Machine Learning Models
J Ye, A Maddi, SK Murakonda, V Bindschaedler, R Shokri
ACM Conference on Computer and Communications Security (CCS), 2022
2682022
Chiron: Privacy-Preserving Machine Learning as a Service
T Hunt, C Song, R Shokri, V Shmatikov, E Witchel
arXiv preprint arXiv:1803.05961, 2018
2522018
What Does it Mean for a Language Model to Preserve Privacy?
H Brown, K Lee, F Mireshghallah, R Shokri, F Tramèr
ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2022
2492022
On the Optimal Placement of Mix Zones
J Freudiger, R Shokri, JP Hubaux
Privacy Enhancing Technologies Symposium (PETS), 2009
2442009
Hiding in the Mobile Crowd: Location Privacy through Collaboration
R Shokri, G Theodorakopoulos, P Papadimitratos, E Kazemi, JP Hubaux
IEEE Transactions on Dependable and Secure Computing (TDSC), 2014
2342014
Defeating Image Obfuscation with Deep Learning
R McPherson, R Shokri, V Shmatikov
arXiv preprint arXiv:1609.00408, 2016
2152016
Evaluating the Privacy Risk of Location-based Services
J Freudiger, R Shokri, JP Hubaux
Financial Cryptography and Data Security, 2012
2092012
Plausible Deniability for Privacy-Preserving Data Synthesis
V Bindschaedler, R Shokri, C Gunter
VLDB Endowment International Conference on Very Large Data Bases (PVLDB), 2017
2052017
Cronus: Robust and heterogeneous collaborative learning with black-box knowledge transfer
H Chang, V Shejwalkar, R Shokri, A Houmansadr
arXiv preprint arXiv:1912.11279, 2019
2032019
Privacy Games: Optimal User-Centric Data Obfuscation
R Shokri
Privacy Enhancing Technologies Symposium (PETS), 2015
1922015
Unraveling an Old Cloak: K-anonymity for Location Privacy
R Shokri, C Troncoso, C Diaz, J Freudiger, JP Hubaux
ACM workshop on Privacy in the electronic society (WPES), 2010
1922010
On the Privacy Risks of Model Explanations
R Shokri, M Strobel, Y Zick
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021
183*2021
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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