Alternatives and similar repositories for deepimportance_code_release

Users that are interested in deepimportance_code_release are comparing it to the libraries listed below

• Testing4AI / RobOT
  Code release for RobOT (ICSE'21)
  ☆15Updated 2 years ago
• dgl-prc / m_testing_adversatial_sample
  ☆27Updated 5 years ago
• coinse / sadl
  Code release of a paper "Guiding Deep Learning System Testing using Surprise Adequacy"
  ☆49Updated 3 years ago
• TrustAI / DeepConcolic
  Concolic Testing for Deep Neural Networks
  ☆120Updated 4 years ago
• hfeniser / DeepSmartFuzzer
  Reward Guided Test Generation for Deep Learning
  ☆20Updated last year
• kupl / adapt
  ADAPT is the open source white-box testing framework for deep neural networks
  ☆22Updated 2 years ago
• ZhenlanJi / DL_CC
  CC: Causality-Aware Coverage Criterion for Deep Neural Networks
  ☆12Updated 2 years ago
• longph1989 / Socrates
  ☆28Updated 2 years ago
• turned2670 / DLFuzz
  DLFuzz: An Efficient Fuzzing Testing Framework of Deep Learning Systems
  ☆52Updated 7 years ago
• deepgini / deepgini
  ☆18Updated 6 years ago
• swa112003 / DistributionAwareDNNTesting
  ☆10Updated 4 years ago
• pxzhang94 / ADF
  White-box Fairness Testing through Adversarial Sampling
  ☆13Updated 4 years ago
• Lizn-zn / DNNOpAcc
  ☆10Updated 2 years ago
• tcwangshiqi-columbia / ReluVal
  The released code of ReluVal in USENIX Security 2018
  ☆60Updated 5 years ago
• ARiSE-Lab / deepTest
  A systematic testing tool for automatically detecting erroneous behaviors of DNN-driven vehicles
  ☆80Updated 6 years ago
• ClonedOne / MalwareBackdoors
  Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers
  ☆59Updated 3 years ago
• TrustAI / testRNN
  Coverage-Guided Testing of Long Short-Term Memory (LSTM) Networks
  ☆19Updated 4 years ago
• tcwangshiqi-columbia / symbolic_interval
  The library for symbolic interval
  ☆21Updated 5 years ago
• ForeverZyh / DEBAR
  This repository contains the implementation and the evaluation of our ESEC/FSE 2020 paper: Detecting Numerical Bugs in Neural Network Ar…
  ☆26Updated 4 years ago
• PurduePAML / Machine-Learning-Security-Seminar
  Machine Learning & Security Seminar @Purdue University
  ☆25Updated 2 years ago
• yqtianust / EvalDNN
  EvalDNN: A Toolbox for Evaluating Deep Neural Network Models
  ☆16Updated 5 years ago
• XZ-X / PEM
  ☆15Updated last year
• TrustAI / DeepCover
  Testing Deep Neural Networks
  ☆16Updated 7 years ago
• surrealyz / verified-global-properties
  Learning Security Classifiers with Verified Global Robustness Properties (CCS'21) https://arxiv.org/pdf/2105.11363.pdf
  ☆27Updated 3 years ago
• tcwangshiqi-columbia / Neurify
  The released code of Neurify in NIPS 2018
  ☆49Updated 2 years ago
• testingautomated-usi / deepjanus
  Tools and data of the paper "Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing"
  ☆15Updated last year
• llylly / RANUM
  [ICSE 2023] Differentiable interpretation and failure-inducing input generation for neural network numerical bugs.
  ☆13Updated last year
• Jacob-yen / LEMON
  This is the implement repository of our upcoming ESEC/FSE 2020 paper: Deep Learning Library Testing via Effective Model Generation.
  ☆55Updated last year
• matthewwicker / SafeCV
  Vision based algorithms for falsification of convolutional neural networks
  ☆12Updated 7 years ago
• chawins / knn-defense
  Adversarial Examples on KNN (and its neural network friends)
  ☆20Updated 5 years ago