60 matches found
GhostFaceMPC
GhostFaceMPC: Privacy-Preserving Face Recognition with Multi-Party Computation Official implementation of GhostFaceMPC: Privacy-Preserving Face Recognition with Multi-Party Computation Davide Carnemolla, Dario Catalano, Mario Di Raimondo — University of Catania. Paper: Cryptology ePrint Archive,...
Big Secrets Small Shares: Revisiting Secure Multi-Party Computation
At CRYPTO 2007, Damgård and Nielsen introduced a preprocessing approach to multi-party computation MPC to achieve linear communication complexity. Another approach to reduce communication complexity was proposed by Cramer, Damgård, and de Haan at EUROCRYPT 2007, which involved using ramp-secret...
SMT-Boosted Security Types and Correctness for Low-Level MPC
Secure Multi-Party Computation MPC is an important enabling technology for data privacy in modern distributed applications. We develop a new Hoare logic and type theory to automatically enforce correctness, confidentiality, and integrity properties of protocols written in the Prelude/Overture...
Thresholding Post-Quantum Signatures
Threshold signature schemes distribute the signing process among $T$ parties out of $N$. They enable a variety of applications and their research is also motivated by a recent NIST call. However, applications are dominated by pre-quantum signatures, which are more efficient but not secure in the...
RUSTSEC-2025-0115 tandem_http_server is unmaintained
The tandem crates in https://github.com/sine-fdn are no longer maintained by the SINE Foundation. The repository has been archived. Recommended alternative We are continuing our work on SMPC by implementing our secure multi-party computation engine Polytune...
tandem_http_server is unmaintained
The tandem crates in https://github.com/sine-fdn are no longer maintained by the SINE Foundation. The repository has been archived. Recommended alternative We are continuing our work on SMPC by implementing our secure multi-party computation engine Polytune...
EUVD-2024-0170
Malicious code in bioql PyPI...
EUVD-2024-0829
Malicious code in bioql PyPI...
EUVD-2024-0171
Malicious code in bioql PyPI...
EUVD-2024-0169
Malicious code in bioql PyPI...
EUVD-2023-0256
Malicious code in bioql PyPI...
EUVD-2024-0813
Malicious code in bioql PyPI...
EUVD-2024-0168
Malicious code in bioql PyPI...
A Survey on Privacy-Preserving Computing in the Automotive Domain
As vehicles become increasingly connected and autonomous, they accumulate and manage various personal data, thereby presenting a key challenge in preserving privacy during data sharing and processing. This survey reviews applications of Secure Multi-Party Computation MPC and Homomorphic Encryptio...
CVE-2025-43863 vantage6 lacks brute-force protection on change password functionality
vantage6 is an open source framework built to enable, manage and deploy privacy enhancing technologies like Federated Learning and Multi-Party Computation. If attacker gets access to an authenticated session, they can try to brute-force the user password by using the change password functionality...
CVE-2025-43863 vantage6 lacks brute-force protection on change password functionality
vantage6 is an open source framework built to enable, manage and deploy privacy enhancing technologies like Federated Learning and Multi-Party Computation. If attacker gets access to an authenticated session, they can try to brute-force the user password by using the change password functionality...
Commitment Schemes for Multi-Party Computation
The paper presents an analysis of Commitment Schemes CSs used in Multi-Party Computation MPC protocols. While the individual properties of CSs and the guarantees offered by MPC have been widely studied in isolation, their interrelation in concrete protocols and applications remains mostly...
CVE-2024-21671
The vantage6 technology enables to manage and deploy privacy enhancing technologies like Federated Learning FL and Multi-Party Computation MPC. It is possible to find out usernames from the response time of login requests. This could aid attackers in credential attacks. Version 4.2.0 patches this...
CVE-2024-22193
The vantage6 technology enables to manage and deploy privacy enhancing technologies like Federated Learning FL and Multi-Party Computation MPC. There are no checks on whether the input is encrypted if a task is created in an encrypted collaboration. Therefore, a user may accidentally create a tas...
CVE-2024-24770
vantage6 is an open source framework built to enable, manage and deploy privacy enhancing technologies like Federated Learning and Multi-Party Computation. Much like GHSA-45gq-q4xh-cp53, it is possible to find which usernames exist in vantage6 by calling the API routes /recover/lost and /2fa/lost...