Reference

[GPSW06] Goyal, V., Pandey, O., Sahai, A., & Waters, B. (2006, October). Attribute-based encryption for fine-grained access control of encrypted data. In Proceedings of the 13th ACM conference on Computer and communications security (pp. 89-98).

[GGGJKLZ14] Goldwasser, S., Gordon, S. D., Goyal, V., Jain, A., Katz, J., Liu, F. H., ... & Zhou, H. S. (2014, May). Multi-input functional encryption. In Annual International Conference on the Theory and Applications of Cryptographic Techniques (pp. 578-602). Springer, Berlin, Heidelberg.

[GKPVZ13] Goldwasser, S., Kalai, Y., Popa, R. A., Vaikuntanathan, V., & Zeldovich, N. (2013, June). Reusable garbled circuits and succinct functional encryption. In Proceedings of the forty-fifth annual ACM symposium on Theory of computing (pp. 555-564).

[ALS2016] Agrawal, S., Libert, B., Stehle, D.: Fully secure functional encryption for inner products, from standard assumptions. In: Annual International Cryptology Conference. pp. 333{362. Springer (2016).

[B2017] Bourse, F. (2017). Functional encryption for inner-product evaluations (Doctoral dissertation).

[B2018] Vitalik Buterin, https://ethresear.ch/t/on-chain-scaling-to-potentially-500-tx-sec-through-mass-tx-validation/3477, 2018.

[BCTV2013] Eli Ben-Sasson, Alessandro Chiesa, Eran Tromer, and Madars Virza. Succinct non-interactive zero knowledge for a von Neumann architecture. In Proceedings of the 23rd USENIX Security Symposium, Security '14. Available at http://eprint.iacr.org/2013/879.

[BMEB2016] Bataineh, A. S., Mizouni, R., El Barachi, M., & Bentahar, J. (2016, June). Monetizing Personal Data: A Two-Sided Market Approach. In ANT/SEIT (pp. 472-479).

[CGW2015] Chen, J., Gay, R., & Wee, H. (2015, April). Improved dual system ABE in prime-order groups via predicate encodings. In Annual International Conference on the Theory and Applications of Cryptographic Techniques (pp. 595-624). Springer, Berlin, Heidelberg.

[FVBG17] Fisch, B., Vinayagamurthy, D., Boneh, D., & Gorbunov, S. (2017, October). Iron: functional encryption using Intel SGX. In Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security (pp. 765-782).

[LCFS2017] Ligier, D., Carpov, S., Fontaine, C., & Sirdey, R. (2017, February). Privacy Preserving Data Classification using Inner-product Functional Encryption. In ICISSP (pp. 423-430).

[MDJM2019] Mehta, S., Dawande, M., Janakiraman, G., & Mookerjee, V. (2019). How to sell a dataset? pricing policies for data monetization. Pricing Policies for Data Monetization (August 1, 2019).

[MSHBM2019] Marc, T., Stopar, M., Hartman, J., Bizjak, M., & Modic, J. (2019, September). Privacy-Enhanced Machine Learning with Functional Encryption. In European Symposium on Research in Computer Security (pp. 3-21). Springer, Cham.

[PHGR2013] Parno, B., Howell, J., Gentry, C., & Raykova, M. (2013, May). Pinocchio: Nearly practical verifiable computation. In 2013 IEEE Symposium on Security and Privacy (pp. 238-252). IEEE.

[RDGBP2019] Ryffel, T., Dufour-Sans, E., Gay, R., Bach, F., & Pointcheval, D. (2019). Partially encrypted machine learning using functional encryption. arXiv preprint arXiv:1905.10214.

[RRS2013] Reimsbach-Kounatze, C., Reynolds, T., & Stryszowski, P. (2013). Exploring the economics of personal data-a survey of methodologies for measuring monetary value.

[SC2017] Agrawal, Shashank, and Melissa Chase. "Simplifying design and analysis of complex predicate encryption schemes." Annual International Conference on the Theory and Applications of Cryptographic Techniques. Springer, Cham, 2017. [SGP2018] Sans, E.D., Gay, R., Pointcheval, D.: Reading in the dark: Classifying encrypted digits with functional encryption. IACR Cryptology ePrint Archive 2018, 206, (2018).

[TZLHJS2017] Florian Tramer, Fan Zhang, Huang Lin, Jean-Pierre Hubaux, Ari Juels, and Elaine Shi. ”Sealed-glass proofs: Using transparent enclaves to prove and sell knowledge.” In Security and Privacy (EuroS&P), 2017 IEEE European Symposium on, pp. 19-34. IEEE, 2017.

[GPSW2006] Goyal, Vipul and Pandey, Omkant and Sahai, Amit and Waters, Brent. (2006) Attribute-based encryption for fine-grained access control of encrypted data Pro- ceedings of the 13th ACM conference on Computer and communications security, (pp. 89-98).

[Mintlayer] Disrupting Asset Tokenization: an Introduction to Mintlayer’s ACL https://www.mintlayer.org/news/2021-06-08-disrupting-asset-tokenization/

[litprotocol] Litprotocol https://litprotocol.com/

[nftGatedAccess] Another NFT Use Case: Access as Utility https://www.one37pm.com/nft/nft- access-passes-nftnyc

[pavemotors] pavemotors https://www.pavemotors.com/platform

Last updated