A Framework for Modeling Strategy, Business Processes and Information Systems. - André Vasconcelos 001; Artur Caetano; João Neves 005; Pedro Sinogas; Ricardo Mendes; José M. Tribolet (EDOC, 2001)

Representing Business Strategy through Goal Modeling. - Ricardo Mendes; André Vasconcelos 001; Artur Caetano; João Neves 005; Pedro Sinogas; José M. Tribolet (ICEIS (2), 2001)

Unified Resource Modelling. - João Neves 005; André Vasconcelos 001; Artur Caetano; Pedro Sinogas; Ricardo Mendes; José M. Tribolet (ICEIS (2), 2001)

Business Processes Extensions to UML Profile for Business Modeling. - Pedro Sinogas; André Vasconcelos 001; Artur Caetano; João Neves 005; Ricardo Mendes; José M. Tribolet (ICEIS (2), 2001)

Understanding Strategy: a Goal Modeling Methodology. - Ricardo Mendes; André Vasconcelos 001; Artur Caetano; João Neves 005; Pedro Sinogas; José M. Tribolet (OOIS, 2001)

An Object-Oriented Framework for Goal and Process Modeling. - André Vasconcelos 001; Artur Caetano; João Neves 005; Pedro Sinogas; Ricardo Mendes; José M. Tribolet (OOIS, 2001)

Applying Business Process Modeling to Organizational Change. - Ricardo Mendes; Joao Mateus; Eduardo Silva; José M. Tribolet (AMCIS, 2003)

Using Organizational Modeling to Evaluate Health Care IS/IT Projects. - André Vasconcelos 001; Ricardo Mendes; José M. Tribolet (HICSS, 2004)

Sharing Files Using Cloud Storage Services. - Tiago Oliveira 008; Ricardo Mendes; Alysson Neves Bessani (Euro-Par Workshops (2), 2014)

SCFS: A Shared Cloud-backed File System. - Alysson Neves Bessani; Ricardo Mendes; Tiago Oliveira 008; Nuno Ferreira Neves; Miguel Correia 001; Marcelo Pasin; Paulo Veríssimo (USENIX ATC, 2014)

On the consistency of heterogeneous composite objects. - Alysson Neves Bessani; Ricardo Mendes; Tiago Oliveira 008 (PaPoC@EuroSys, 2015)

Impairment-aware optimization strategies to dimension optical transport networks with minimal regeneration requirements. - Ricardo Mendes; Bruna Nogueira; Teresa Gomes; Lúcia Martins; João Santos 001 (ICUMT, 2016)

Exploring Key-Value Stores in Multi-Writer Byzantine-Resilient Register Emulations. - Tiago Oliveira 008; Ricardo Mendes; Alysson Neves Bessani (OPODIS, 2016)

Privacy-Preserving Data Mining: Methods, Metrics, and Applications. - Ricardo Mendes; João P. Vilela (IEEE Access, 2017)

On the Effect of Update Frequency on Geo-Indistinguishability of Mobility Traces. - Ricardo Mendes; João P. Vilela (WISEC, 2018)

Clustering Geo-Indistinguishability for Privacy of Continuous Location Traces. - Mariana Cunha; Ricardo Mendes; João P. Vilela (ICCCS, 2019)

Regeneration and grooming in MPLS over WDM networks. - Bruna Nogueira; Ricardo Mendes; Lúcia Martins; Teresa Gomes; Rita Girão-Silva; João Santos 001; Tibor Cinkler (JOCN, 2019)

Impact of Frequency of Location Reports on the Privacy Level of Geo-indistinguishability. - Ricardo Mendes; Mariana Cunha; João P. Vilela (Proc. Priv. Enhancing Technol., 2020)

Efficient Privacy Preserving Distributed K-Means for Non-IID Data. - André Brandão; Ricardo Mendes; João P. Vilela (IDA, 2021)

HASGS: Five Years of Reduced Augmented Evolution. - Henrique Portovedo; Paulo Ferreira-Lopes; Ricardo Mendes; Tiago Gala (NIME, 2021)

A survey of privacy-preserving mechanisms for heterogeneous data types. - Mariana Cunha; Ricardo Mendes; João P. Vilela (Comput. Sci. Rev., 2021)

Charon: A Secure Cloud-of-Clouds System for Storing and Sharing Big Data. - Ricardo Mendes; Tiago Oliveira 008; Vinicius Vielmo Cogo; Nuno Neves 001; Alysson Bessani (IEEE Trans. Cloud Comput., 2021)

Prediction of Mobile App Privacy Preferences with User Profiles via Federated Learning. - André Brandão; Ricardo Mendes; João P. Vilela (CODASPY, 2022)

Enhancing User Privacy in Mobile Devices Through Prediction of Privacy Preferences. - Ricardo Mendes; Mariana Cunha; João P. Vilela; Alastair R. Beresford (ESORICS (1), 2022)

Effect of User Expectation on Mobile App Privacy: A Field Study. - Ricardo Mendes; André Brandão; João P. Vilela; Alastair R. Beresford (PerCom, 2022)

Understanding the drivers of academic achievement: Evidence for Portugal's high school system, a machine learning approach - Ricardo Mendes (2022)

Velocity-Aware Geo-Indistinguishability. - Ricardo Mendes; Mariana Cunha; João P. Vilela (CODASPY, 2023)

Privkit: A Toolkit of Privacy-Preserving Mechanisms for Heterogeneous Data Types. - Mariana Cunha; Guilherme Duarte 001; Ricardo Andrade; Ricardo Mendes; João P. Vilela (CODASPY, 2024)

Federated Hyperparameter Optimization through Reward-Based Strategies: Challenges and Insights. - Krishna Kanth Nakka; Ahmed Frikha 002; Ricardo Mendes; Xue Jiang; Xuebing Zhou (CVPR Workshops, 2024)

Robust Skin Color Driven Privacy-Preserving Face Recognition Via Function Secret Sharing. - Dong Han; Yufan Jiang; Yong Li 021; Ricardo Mendes; Joachim Denzler (ICIP, 2024)

PII-Compass: Guiding LLM training data extraction prompts towards the target PII via grounding. - Krishna Kanth Nakka; Ahmed Frikha 002; Ricardo Mendes; Xue Jiang; Xuebing Zhou (CoRR, 2024)

IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization. - Ahmed Frikha 002; Nassim Walha; Krishna Kanth Nakka; Ricardo Mendes; Xue Jiang; Xuebing Zhou (CoRR, 2024)

ObfuscaTune: Obfuscated Offsite Fine-tuning and Inference of Proprietary LLMs on Private Datasets. - Ahmed Frikha 002; Nassim Walha; Ricardo Mendes; Krishna Kanth Nakka; Xue Jiang; Xuebing Zhou (CoRR, 2024)

PII-Scope: A Benchmark for Training Data PII Leakage Assessment in LLMs. - Krishna Kanth Nakka; Ahmed Frikha 002; Ricardo Mendes; Xue Jiang; Xuebing Zhou (CoRR, 2024)

Exploiting Internal Randomness for Privacy in Vertical Federated Learning. - Yulian Sun; Li Duan; Ricardo Mendes; Derui Zhu; Yue Xia; Yong Li 021; Asja Fischer (IACR Cryptol. ePrint Arch., 2024)

On the Difficulty of NOT being Unique: Fingerprinting Users from Wi-Fi Data in Mobile Devices. - Mariana Cunha; Ricardo Mendes; Yves-Alexandre de Montjoye; João P. Vilela (SAC, 2025)

WiFi-Based Location Tracking: A Still Open Door on Laptops. - Mariana Cunha; Ricardo Mendes; Yves-Alexandre de Montjoye; João P. Vilela (IEEE Open J. Comput. Soc., 2025)

PrivacyScalpel: Enhancing LLM Privacy via Interpretable Feature Intervention with Sparse Autoencoders. - Ahmed Frikha 002; Muhammad Reza Ar Razi; Krishna Kanth Nakka; Ricardo Mendes; Xue Jiang; Xuebing Zhou (CoRR, 2025)