Cork/Face Presentation Attack Detection

RF tool based on CC1101 module and Arduino Pro Micro 8VMHz/3.3V. Allows using CLI with human readable commands to control CC1101 board over USB interface. Putty or any other serial terminal can be used. It has similar functionality to YardStick One but is cheaper and doesn't need specialized software. Allows for RF jamming and simple replay attack

Intercepting Bluetooth device communication and simulating packet responses of an iPhone from a Raspberry Pi 3

Very simple 433MHz (EU/ASIA) 315 MHz (US) RF jammer for keyless cars theft prevention

Example of using CC1101 module with Arduino Pro Micro ( ATMEGA32U4 ) for radio jamming

A cybersecurity tool for RF scanning, copying, and replaying signals

this is example of cloning my garage keys with Arduino Digispark and FS1000A transmitter. The keys sequences were recorded first using Universal Radio Hacker tool

Classic BWS: Liveness Detection, Deepfake Detection and PhotoVerify Face Match for KYC

Zalo AI Challenge 2022 Liveness Detection

In this project, we have implemented a network to detect real faces against fake ones.

Classic BWS: BWS Android sample code for app integration

Classic BWS: BWS HTML5 Unified User Interface

AdvSV stands as the first dataset developed specifically for evaluating Speaker Verification (SV) systems against adversarial attacks. It aims to benchmark the robustness of ASV models in the face of such attacks and offers vital resources for researchers to explore the characteristics of adversarial and replay attacks in this domain.

Deep learning-based audio spoofing attack detection experiments for speaker verification.

Classic BWS: BWS iOS sample code for app integration

A device built with an Arduino board that captures wireless signals and replays them at specific frequencies. It supports operation at 433 MHz or 315 MHz frequencies for various signal applications.

BWS 3: Client App iOS for Face Liveness Detection (Passive & Active liveness detection & Challenge Response) and Photo ID Verification

Baseline Experiments for ReMASC dataset.

BWS 3: BWS Client with Web App for Liveness Detection, Video Liveness Detection and Photo ID Verification

The source code in the paper "When the Differences in Frequency Domain are Compensated: Understanding and Defeating Modulated Replay Attacks on Automatic Speech Recognition". This paper is published in the ACM Conference on Computer and Communications Security (CCS) 2020.