Data protection by means of fragmentation in distributed storage systems. - Katarzyna Kapusta; Gérard Memmi (CFIP/NOTERE, 2015)

Data protection: Combining fragmentation, encryption, and dispersion. - Gérard Memmi; Katarzyna Kapusta; Han Qiu 001 (SSIC, 2015)

Data Protection: Combining Fragmentation, Encryption, and Dispersion, an Intermediary report. - Gérard Memmi; Katarzyna Kapusta; Han Qiu 001 (CoRR, 2015)

POSTER: A Keyless Efficient Algorithm for Data Protection by Means of Fragmentation. - Katarzyna Kapusta; Gérard Memmi; Hassan Noura 001 (CCS, 2016)

Secure and resilient scheme for data protection in unattended wireless sensor networks. - Katarzyna Kapusta; Gérard Memmi; Hassan Noura 001 (CSNet, 2017)

Data protection by means of fragmentation in various different distributed storage systems - a survey. - Katarzyna Kapusta; Gérard Memmi (CoRR, 2017)

An Efficient Keyless Fragmentation Algorithm for Data Protection. - Katarzyna Kapusta; Gérard Memmi; Hassan Noura 001 (CoRR, 2017)

Circular AON: A Very Fast Scheme to Protect Encrypted Data Against Key Exposure. - Katarzyna Kapusta; Gérard Memmi (CCS, 2018)

Selective All-Or-Nothing Transform: Protecting Outsourced Data Against Key Exposure. - Katarzyna Kapusta; Gérard Memmi (CSS, 2018)

A Fast and Scalable Fragmentation Algorithm for Data Protection Using Multi-storage over Independent Locations. - Katarzyna Kapusta; Gérard Memmi (STM, 2018)

Enhancing Data Protection in a Distributed Storage Environment Using Structure-Wise Fragmentation and Dispersal of Encrypted Data. - Katarzyna Kapusta; Gérard Memmi (TrustCom/BigDataSE, 2018)

A Fast Fragmentation Algorithm For Data Protection In a Multi-Cloud Environment. - Katarzyna Kapusta; Gérard Memmi (CoRR, 2018)

PE-AONT: Partial Encryption combined with an All-or-Nothing Transform. - Katarzyna Kapusta; Gérard Memmi (CoRR, 2018)

Protecting data confidentiality combining data fragmentation, encryption, and dispersal over a distributed environment. (Protection de la confidentialité des données par un ensemble de méthodes de fragmentation, chiffrement, et dispersion dans un environnement distribué). - Katarzyna Kapusta (2018)

Reinforcing Protection Against Chosen-Plaintext Attack Using Ciphertext Fragmentation in Multi-cloud Environments. - Katarzyna Kapusta; Han Qiu 001; Gérard Memmi (CSCloud/EdgeCom, 2019)

Poster Abstract: Secure Data Sharing by Means of Fragmentation, Encryption, and Dispersion. - Katarzyna Kapusta; Han Qiu 001; Gérard Memmi (INFOCOM Workshops, 2019)

Secure Data Sharing with Fast Access Revocation through Untrusted Clouds. - Katarzyna Kapusta; Han Qiu 001; Gérard Memmi (NTMS, 2019)

Additively homomorphic encryption and fragmentation scheme for data aggregation inside unattended wireless sensor networks. - Katarzyna Kapusta; Gérard Memmi; Hassan Noura 001 (Ann. des Télécommunications, 2019)

Multi-hop Data Fragmentation in Unattended Wireless Sensor Networks. - Keun Woo Lim; Katarzyna Kapusta; Gérard Memmi; Woo-Sung Jung (CoRR, 2019)

Circular All-Or-Nothing: Revisiting Data Protection Against Key Exposure. - Katarzyna Kapusta; Gérard Memmi; Matthieu Rambaud (CoRR, 2019)

All-Or-Nothing data protection for ubiquitous communication: Challenges and perspectives. - Han Qiu 001; Katarzyna Kapusta; Zhihui Lu 002; Meikang Qiu; Gérard Memmi (Inf. Sci., 2019)

Revisiting Shared Data Protection Against Key Exposure. - Katarzyna Kapusta; Matthieu Rambaud; Gérard Memmi (AsiaCCS, 2020)

Multi-hop Data Fragmentation in Energy Harvesting Wireless Sensor Networks. - Keun Woo Lim; Katarzyna Kapusta; Gérard Memmi; Woo-Sung Jung (GIoTS, 2020)

A Protocol for Secure Verification of Watermarks Embedded into Machine Learning Models. - Katarzyna Kapusta; Vincent Thouvenot; Olivier Bettan; Hugo Beguinet; Hugo Senet (IH&MMSec, 2021)

Federated machine learning through edge ready architectures with privacy preservation as a service. - Konstantinos Koutsopoulos; Antoine Simon; Benjamin Ertl; Spyridon L. Tompros; Katarzyna Kapusta; Gouenou Coatrieux; Anastasius Gavras; Giannis Ledakis 001; Orazio Toscano; Stefan Covaci; Christoph Thümmler (FNWF, 2022)

PE-AONT: Partial Encryption All or Nothing Transform. - Katarzyna Kapusta; Gérard Memmi (SECRYPT, 2022)

A Secure Federated Learning: Analysis of Different Cryptographic Tools. - Oana Stan; Vincent Thouvenot; Aymen Boudguiga; Katarzyna Kapusta; Martin Zuber; Renaud Sirdey (SECRYPT, 2022)

Constant Size Secret Sharing: with General Thresholds, Towards Standard Assumptions, and Applications. - Katarzyna Kapusta; Matthieu Rambaud; Ferdinand Sibleyras (IACR Cryptol. ePrint Arch., 2022)

When Federated Learning Meets Watermarking: A Comprehensive Overview of Techniques for Intellectual Property Protection. - Mohammed Lansari; Reda Bellafqira; Katarzyna Kapusta; Vincent Thouvenot; Olivier Bettan; Gouenou Coatrieux (Mach. Learn. Knowl. Extr., 2023)

SECURED for Health: Scaling Up Privacy to Enable the Integration of the European Health Data Space. - Francesco Regazzoni 001; Gergely Ács; Albert Zoltan Aszalos; Christos Avgerinos; Nikolaos Bakalos; Josep Lluis Berral; Joppe W. Bos; Marco Brohet; Andrés G. Castillo Sanz; Gareth T. Davies; Stefanos Florescu; Pierre-Elisée Flory; et al. (DATE, 2024)

Homeopathic Poisoning of RAG Systems. - Boussad Addad; Katarzyna Kapusta (SAFECOMP (Workshops), 2024)

A White-Box Watermarking Modulation for Encrypted DNN in Homomorphic Federated Learning. - Mohammed Lansari; Reda Bellafqira; Katarzyna Kapusta; Vincent Thouvenot; Olivier Bettan; Gouenou Coatrieux (SECRYPT, 2024)

DiffGuard: Text-Based Safety Checker for Diffusion Models. - Massine El Khader; Elias Al Bouzidi; Abdellah Oumida; Mohammed Sbaihi; Eliott Binard; Jean-Philippe Poli; Wassila Ouerdane; Boussad Addad; Katarzyna Kapusta (CoRR, 2024)

Protecting ownership rights of ML models using watermarking in the light of adversarial attacks. - Katarzyna Kapusta; Lucas Mattioli; Boussad Addad; Mohammed Lansari (AI Ethics, 2024)

RoSe-Mix: Robust and Secure Deep Neural Network Watermarking in Black-Box Settings via Image Mixup. - Tamara El Hajjar; Mohammed Lansari; Reda Bellafqira; Gouenou Coatrieux; Katarzyna Kapusta; Kassem Kallas (Mach. Learn. Knowl. Extr., 2025)

Using Mechanistic Interpretability to Craft Adversarial Attacks against Large Language Models. - Thomas Winninger; Boussad Addad; Katarzyna Kapusta (CoRR, 2025)