Seguir
Ricardo Mendes
Ricardo Mendes
Huawei Technologies Düsseldorf GmbH
Email confirmado em huawei.com
Título
Citado por
Citado por
Ano
Privacy-preserving data mining: methods, metrics, and applications
R Mendes, JP Vilela
IEEE Access 5, 10562-10582, 2017
3682017
A survey of privacy-preserving mechanisms for heterogeneous data types
M Cunha, R Mendes, JP Vilela
Computer science review 41, 100403, 2021
742021
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
332020
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
222019
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
152022
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
112018
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
82022
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
72022
Velocity-Aware Geo-Indistinguishability
R Mendes, M Cunha, JP Vilela
Proceedings of the Thirteenth ACM Conference on Data and Application …, 2023
42023
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
32021
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
22024
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
22024
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
22019
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
22016
Object Tracking and Detection on FPGA Board Cyclone II
B Nogueira, R Mendes
Digital Systems Project, Electrical and Computer Engineering Department …, 2015
22015
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
12024
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
12024
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
12024
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
O sistema não pode efectuar a operação agora. Tente mais tarde.
Artigos 1–20