Projects
Secure Distributed-Learning on Threat Intelligence
Partner: armasuisse EPFL Laboratory: Laboratory for Data Security (LDS) Cyber security information is often extremely sensitive and confidential, it introduces a tradeoff between the benefits of improved threat-response capabilities and the drawbacks of disclosing national-security-related information to foreign agencies or institutions. This results in the retention of valuable information (a.k.a. as the free-rider problem), which considerably limits the efficacy of data sharing. The purpose of this project is to resolve the cybersecurity information-sharing tradeoff by enabling more accurate insights on larger amounts of more relevant collective threat-intelligence data. This project will have the benefit of enabling institutions to build better models by securely collaborating with valuable sensitive data that is not normally shared. This will expand the range of available intelligence, thus leading to new and better threat analyses and predictions.
Topics • Privacy Protection & Cryptography • Machine Learning
ViewROBIN - Robust Machine Learning
Partner: Swisscom EPFL Laboratory: Signal Processing Laboratory (LTS4) Adversarial machine learning and robustness.
Topics • Machine Learning
ViewMobility Insights
Partner: Swisscom EPFL Laboratory: Security and Privacy Engineering Lab (SPRING) adversarial study on Swisscom's Mobility Insights platform.
Topics • Privacy Protection & Cryptography
ViewMedCo
Partner: CHUV EPFL Laboratory: Laboratory for Data Security (LDS) MedCo, developed in the lab of EPFL professor Jean-Pierre Hubaux in collaboration with professor Bryan Ford’s DEDIS lab and the Lausanne University Hospital (CHUV), is the first operational system to protect sensitive patient data – including genetic information – so that it can be used collectively for crucial medical research.
Topics • Privacy Protection & Cryptography • Health
Viewsecuring ACARs communication
Partner: armasuisse EPFL Laboratory: Security and Privacy Engineering Lab (SPRING) communication dans l'aviation entre avions et sol. Privacy.
Topics • Privacy Protection & Cryptography
ViewonChain secrets implementation
Partner: Byzgen EPFL Laboratory: Decentralized Distributed Systems Laboratory (DEDIS) Byzen and C4DT-affiliated DEDIS laboratory collaborated to implement DEDIS's onChain secrets service. This technology can be used to re-encrypt the most sensitive of data and ensure that any reads to that data are validated, via a distributed and consensus driven decryption process.
Topics • Privacy Protection & Cryptography • Blockchains & Smart Contracts
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