Photos from National Cyber Security Services's post


Faceswap:-- A #tool that #utilizes #deep #learning to #recognize and #swap #faces in #pictures and #videos.

#FaceSwap has #ethical uses.
1. FaceSwap is not for #creating #inappropriate #content.
2. FaceSwap is not for changing faces without consent or
with the intent of hiding its use.
3. FaceSwap is not for any illicit, #unethical, or
questionable purposes.
4. FaceSwap exists to #experiment and #discovers #AI
#techniques, for #social or #political commentary, for
#movies, and for any number of ethical and reasonable
uses.

#Download #Link:-

https://github.com/deepfakes/faceswap

AMLIDS:-- #Android #Machine #Learning #Intrusion #Detection System is written in C#

Android App (written in C# with Xamarin Forms):-
1. Create the Android App to collect the hypothetical #information needed to create the model
2. Add LiteDb and syncing to the gRPC service
3. Add background service to do the #syncing automatically
4. Add ML detections from the background service

#Download #Link:-

https://github.com/jcapellman/AMLIDS


AMLIDS:-- #Android #Machine #Learning #Intrusion #Detection System is written in C#

Android App (written in C# with Xamarin Forms):-
1. Create the Android App to collect the hypothetical #information needed to create the model
2. Add LiteDb and syncing to the gRPC service
3. Add background service to do the #syncing automatically
4. Add ML detections from the background service

#Download #Link:-

https://github.com/jcapellman/AMLIDS