Add Moose and aes-prng (#52)

readme.md

@@ -65,6 +65,7 @@ Here I tried to reference the most recent article found on specific software sin
 - [FRESCO](http://fresco.readthedocs.io/en/latest/) - MPC supporting TinyTables or SPDZ protocols; secure against semi-honest or malicious adversaries. | [Practice'15](http://practice-project.eu/downloads/publications/D22.1-State-of-the-art-analysis-PU-V1.1.pdf).
 - [HoneyBadgerMPC](https://github.com/initc3/HoneyBadgerMPC) - Robust MPC-based confidentiality layer for blockchains with guaranteed output delivery; secure against up to t < n/3 malicious parties.
 - [JIFF](https://github.com/multiparty/jiff/) - JavaScript client and server libraries for building web-based applications that employ general purpose MPC; secure against semi-honest adversaries. | documentation: [link](https://multiparty.org/jiff/).
+- [Moose](https://github.com/tf-encrypted/moose) - 3PC with secret sharing; secure against semi-honest adversaries; focused on data processing and machine learning.
 - [MOTION](https://github.com/encryptogroup/MOTION) - Mixed-Protocol MPC framework supporting full-threshold boolean and arithmetic GMW and BMR; secure against semi-honest adversaries. | eprint: [2020/1137](https://eprint.iacr.org/2020/1137).
 - [MP-SPDZ](https://github.com/data61/MP-SPDZ) - MPC with garbled circuits or secret sharing; secure against malicious or semi-honest adversaries with dishonest or honest majority. | [documentation](https://mp-spdz.readthedocs.io/en/latest/) | eprint: [2020/512](https://eprint.iacr.org/2020/521)
 - [MPyC](https://www.win.tue.nl/%7Eberry/mpyc/) - BGW honest majority multi-party protocol; secure against semi-honest adversaries. | [TPMPC'18](https://www.win.tue.nl/~berry/mpyc/TPMPC2018.pdf).
@@ -74,11 +75,12 @@ Here I tried to reference the most recent article found on specific software sin
 - [SCALE-MAMBA](https://homes.esat.kuleuven.be/~nsmart/SCALE/) - General MPC with secret sharing; secure against various adversaries including malicious with a dishonest majority. Software closer to a production system. | documentation: [link](https://homes.esat.kuleuven.be/~nsmart/SCALE/Documentation.pdf).
 - [Sharemind](https://sharemind.cyber.ee/) - 2PC or 3PC with secret sharing; secure against semi-honest adversaries. | [Cyber'13](https://cyber.ee/research/theses/roman_jagomagis_msc.pdf).
 - [swanky](https://github.com/GaloisInc/swanky) - A suite of rust libraries for secure multi-party computation (currently includes oblivious transfer, garbled circuits, and private set intersection).
-- [Tf-encrypted](https://github.com/mortendahl/tf-encrypted/) - 3PC with secret sharing; secure against semi-honest adversaries; focused on TensorFlow-based applications.
+- [TF Encrypted](https://github.com/mortendahl/tf-encrypted/) - 3PC with secret sharing; secure against semi-honest adversaries; focused on TensorFlow-based applications.
 - [TNO-MPC](https://github.com/TNO-MPC/) - Collection of MPC generic software components, procedures, functionalities, and solutions based on secret sharing and (partially) homomorphic encryption developed in Python and Go. | Blogs and principles: [TNO MPC Lab](https://mpc.tno.nl/).
 
 ### Primitives
 
+- [aes-prng](https://github.com/tf-encrypted/aes-prng) - Rust pseudo-random number generator based on AES.
 - [APRICOT](https://github.com/bristolcrypto/apricot) - OT Extension secure against malicious adversaries. | [2015/546](http://eprint.iacr.org/2015/546).
 - [Distributed Vector-OLE](https://github.com/schoppmp/distributed-vector-ole) - A two-party generator for Vector-OLE correlations. [CCS'19](https://eprint.iacr.org/2019/1084.pdf).
 - [LibOTe](https://github.com/osu-crypto/libOTe) - Library with various OT Extensions.