| 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 | 3612 | 2017 |
| Privacy-Preserving Deep Learning R Shokri, V Shmatikov ACM Conference on Computer and Communications Security (CCS), 2015 | 2364 | 2015 |
| 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 | 1401* | 2019 |
| Quantifying Location Privacy R Shokri, G Theodorakopoulos, JY Le Boudec, JP Hubaux IEEE Symposium on Security and Privacy (S&P), Oakland, 2011 | 906 | 2011 |
| 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 | 492 | 2012 |
| Machine Learning with Membership Privacy using Adversarial Regularization M Nasr, R Shokri, A Houmansadr ACM Conference on Computer and Communications Security (CCS), 2018 | 406 | 2018 |
| 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 | 265* | 2019 |
| On the Optimal Placement of Mix Zones J Freudiger, R Shokri, JP Hubaux Privacy Enhancing Technologies Symposium (PETS), 2009 | 241 | 2009 |
| 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 | 225 | 2014 |
| Synthesizing Plausible Privacy-Preserving Location Traces V Bindschaedler, R Shokri IEEE Symposium on Security and Privacy (S&P), Oakland, 2016 | 219 | 2016 |
| Chiron: Privacy-Preserving Machine Learning as a Service T Hunt, C Song, R Shokri, V Shmatikov, E Witchel arXiv preprint arXiv:1803.05961, 2018 | 200 | 2018 |
| Evaluating the Privacy Risk of Location-based Services J Freudiger, R Shokri, JP Hubaux Financial Cryptography and Data Security, 2012 | 199 | 2012 |
| 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 | 186 | 2010 |
| Defeating Image Obfuscation with Deep Learning R McPherson, R Shokri, V Shmatikov arXiv preprint arXiv:1609.00408, 2016 | 179 | 2016 |
| Privacy Games: Optimal User-Centric Data Obfuscation R Shokri Privacy Enhancing Technologies Symposium (PETS), 2015 | 176 | 2015 |
| Plausible Deniability for Privacy-Preserving Data Synthesis V Bindschaedler, R Shokri, C Gunter VLDB Endowment International Conference on Very Large Data Bases (PVLDB), 2017 | 170 | 2017 |
| Quantifying Location Privacy: the Case of Sporadic Location Exposure R Shokri, G Theodorakopoulos, G Danezis, JP Hubaux, JY Le Boudec Privacy Enhancing Technologies Symposium (PETS), 2011 | 168 | 2011 |
| A Distortion-based Metric for Location Privacy R Shokri, J Freudiger, M Jadliwala, JP Hubaux ACM Workshop on Privacy in the Electronic Society (WPES), 2009 | 151 | 2009 |
| Preserving Privacy in Collaborative Filtering through Distributed Aggregation of Offline Profiles R Shokri, P Pedarsani, G Theodorakopoulos, JP Hubaux ACM Conference on Recommender Systems (RecSys), 2009 | 150 | 2009 |
| 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 | 131 | 2019 |
Jean-Pierre HubauxProfessor, EPFLVerified email at epfl.ch
