Articles with public access mandates - Reza ShokriLearn more
Available somewhere: 22
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
Mandates: US National Science Foundation
Privacy-Preserving Deep Learning
R Shokri, V Shmatikov
ACM Conference on Computer and Communications Security (CCS), 2015
Mandates: Swiss National Science Foundation, US National Institutes of Health
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
Mandates: US National Science Foundation
Machine Learning with Membership Privacy using Adversarial Regularization
M Nasr, R Shokri, A Houmansadr
ACM Conference on Computer and Communications Security (CCS), 2018
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation, US Department of Defense
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
Mandates: National Research Foundation, Singapore
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
Mandates: Research Foundation (Flanders)
On the Privacy Risks of Model Explanations
R Shokri, M Strobel, Y Zick
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021
Mandates: National Research Foundation, Singapore
A Non-Parametric Generative Model for Human Trajectories
K Ouyang, R Shokri, DS Rosenblum, W Yang
The International Joint Conference on Artificial Intelligence (IJCAI), 2018
Mandates: A*Star, Singapore
Quantifying Interdependent Privacy Risks with Location Data
AM Olteanu, K Huguenin, R Shokri, M Humbert, JP Hubaux
IEEE Transactions on Mobile Computing (TMC), 2016
Mandates: Swiss National Science Foundation
On the Privacy Risks of Algorithmic Fairness
H Chang, R Shokri
IEEE European Symposium on Security and Privacy (EuroS&P), 2021
Mandates: National Research Foundation, Singapore
Collaborative Location Privacy
R Shokri, P Papadimitratos, G Theodorakopoulos, JP Hubaux
IEEE Conference on Mobile Adhoc and Sensor Systems (MASS), 2011
Mandates: Swiss National Science Foundation
Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent
R Chourasia, J Ye, R Shokri
Conference on Neural Information Processing Systems (NeurIPS) - Spotlight, 2021
Mandates: National Research Foundation, Singapore
Quantifying the Effect of Co-Location Information on Location Privacy
AM Olteanu, K Huguenin, R Shokri, JP Hubaux
Privacy Enhancing Technologies Symposium (PETS), 184-203, 2014
Mandates: Swiss National Science Foundation
Model Explanations with Differential Privacy
N Patel, R Shokri, Y Zick
ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2022
Mandates: National Research Foundation, Singapore
Differentially Private Learning Needs Hidden State (Or Much Faster Convergence)
J Ye, R Shokri
Conference on Neural Information Processing Systems (NeurIPS), 2022
Mandates: National Research Foundation, Singapore
Data Privacy and Trustworthy Machine Learning
M Strobel, R Shokri
IEEE Security & Privacy, 2022
Mandates: National Research Foundation, Singapore
Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models
SK Murakonda, R Shokri, G Theodorakopoulos
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Mandates: National Research Foundation, Singapore
On The Impact of Machine Learning Randomness on Group Fairness
P Ganesh, H Chang, M Strobel, R Shokri
ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2023
Mandates: National Research Foundation, Singapore
Membership Encoding for Deep Learning
C Song, R Shokri
ACM Asia Conference on Computer and Communications Security (ASIACCS), 2020
Mandates: National Research Foundation, Singapore
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