Xiaoliang's repositories
adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
allosaurus
Allosaurus is a pretrained universal phone recognizer for more than 2000 languages
CPC_audio
An implementation of the Contrast Predictive Coding (CPC) method to train audio features in an unsupervised fashion.
CrossASRplus
CrossASR++: A Modular Differential Testing Framework for Automatic Speech Recognition
DeepConcolic
Concolic Testing for Deep Neural Networks
deepcover
DeepCover: Uncover the truth behind AI
deeplift
Public facing deeplift repo
DemandForecasting
A comparative study of demand forecasting models for an online retailer business
domato
DOM fuzzer
eat_pytorch_in_20_days
Pytorch🍊🍉 is delicious, just eat it! 😋😋
eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
ECAPA-TDNN
Unofficial reimplementation of ECAPA-TDNN for speaker recognition (EER=0.86 for Vox1_O when train only in Vox2)
espnet
End-to-End Speech Processing Toolkit
fair-voice
A Python toolbox for fairness analysis in speaker veriification
fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
funfuzz
A collection of fuzzers in a harness for testing the SpiderMonkey JavaScript engine.
Interpreting-CNN-BiLSTM
Code for the term paper of Explainability Methods for Neural Networks seminar. Text classification models - CNN and BiLSTM - are interpreted using Integrated gradients and Layer-wise Relevance Propogation.
InterpretTime
Implementation of the InterpretTime framework
leetcode
Python & JAVA Solutions for Leetcode
NeuronFair
Interpretable White-Box Fairness Testing through Biased Neuron Identification
open-speech-corpora
💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies
SVEva-Fair
Speaker Verification EVAluation
UnsupSeg
Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation (INTERSPEECH 2020)
waveguard_defense
This is the codebase for defense framework described in USENIX '21 paper "WaveGuard: Understanding and Mitigating Audio Adversarial Examples"