Privacy-preserving data mining: methods, metrics, and applications R Mendes, JP Vilela IEEE Access 5, 10562-10582, 2017 | 368 | 2017 |
A survey of privacy-preserving mechanisms for heterogeneous data types M Cunha, R Mendes, JP Vilela Computer science review 41, 100403, 2021 | 74 | 2021 |
Impact of frequency of location reports on the privacy level of geo-indistinguishability R Mendes, M Cunha, JP Vilela Proceedings on Privacy Enhancing Technologies, 2020 | 33 | 2020 |
Clustering geo-indistinguishability for privacy of continuous location traces M Cunha, R Mendes, JP Vilela 2019 4th International Conference on Computing, Communications and Security …, 2019 | 22 | 2019 |
Prediction of mobile app privacy preferences with user profiles via federated learning A Brandão, R Mendes, JP Vilela Proceedings of the Twelfth ACM Conference on Data and Application Security …, 2022 | 15 | 2022 |
On the effect of update frequency on geo-indistinguishability of mobility traces R Mendes, J Vilela Proceedings of the 11th ACM Conference on Security & Privacy in Wireless and …, 2018 | 11 | 2018 |
Enhancing user privacy in mobile devices through prediction of privacy preferences R Mendes, M Cunha, JP Vilela, AR Beresford European Symposium on Research in Computer Security, 153-172, 2022 | 8 | 2022 |
Effect of user expectation on mobile app privacy: a field study R Mendes, A Brandão, JP Vilela, AR Beresford 2022 IEEE international conference on pervasive computing and communications …, 2022 | 7 | 2022 |
Velocity-Aware Geo-Indistinguishability R Mendes, M Cunha, JP Vilela Proceedings of the Thirteenth ACM Conference on Data and Application …, 2023 | 4 | 2023 |
Efficient privacy preserving distributed k-means for non-iid data A Brandão, R Mendes, JP Vilela Advances in Intelligent Data Analysis XIX: 19th International Symposium on …, 2021 | 3 | 2021 |
Robust skin color driven privacy-preserving face recognition via function secret sharing D Han, Y Jiang, Y Li, R Mendes, J Denzler 2024 IEEE International Conference on Image Processing (ICIP), 3965-3971, 2024 | 2 | 2024 |
PII-Compass: Guiding LLM training data extraction prompts towards the target PII via grounding KK Nakka, A Frikha, R Mendes, X Jiang, X Zhou arXiv preprint arXiv:2407.02943, 2024 | 2 | 2024 |
Regeneration and grooming in MPLS over WDM networks B Nogueira, R Mendes, L Martins, T Gomes, R Girão-Silva, J Santos, ... Journal of Optical Communications and Networking 11 (8), 465-477, 2019 | 2 | 2019 |
Impairment-aware optimization strategies to dimension optical transport networks with minimal regeneration requirements R Mendes, B Nogueira, T Gomes, L Martins, J Santos 2016 8th International Congress on Ultra Modern Telecommunications and …, 2016 | 2 | 2016 |
Object Tracking and Detection on FPGA Board Cyclone II B Nogueira, R Mendes Digital Systems Project, Electrical and Computer Engineering Department …, 2015 | 2 | 2015 |
Exploiting Internal Randomness for Privacy in Vertical Federated Learning Y Sun, L Duan, R Mendes, D Zhu, Y Xia, Y Li, A Fischer European Symposium on Research in Computer Security, 390-409, 2024 | 1 | 2024 |
IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization A Frikha, N Walha, KK Nakka, R Mendes, X Jiang, X Zhou arXiv preprint arXiv:2407.02956, 2024 | 1 | 2024 |
Federated Hyperparameter Optimization Through Reward-Based Strategies: Challenges and Insights KK Nakka, A Frikha, R Mendis, X Jiang, X Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
PII-Scope: A Benchmark for Training Data PII Leakage Assessment in LLMs KK Nakka, A Frikha, R Mendes, X Jiang, X Zhou arXiv preprint arXiv:2410.06704, 2024 | | 2024 |
ObfuscaTune: Obfuscated Offsite Fine-tuning and Inference of Proprietary LLMs on Private Datasets A Frikha, N Walha, R Mendes, KK Nakka, X Jiang, X Zhou arXiv preprint arXiv:2407.02960, 2024 | | 2024 |