Alternatives and similar repositories for testRNN

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

• Testing4AI / RobOT
  Code release for RobOT (ICSE'21)
  ☆15Updated 2 years ago
• Lizn-zn / DNNOpAcc
  ☆10Updated 2 years ago
• coinse / sadl
  Code release of a paper "Guiding Deep Learning System Testing using Surprise Adequacy"
  ☆49Updated 3 years ago
• xiaoningdu / deepstellar
  ☆15Updated 5 years ago
• ZhenlanJi / DL_CC
  CC: Causality-Aware Coverage Criterion for Deep Neural Networks
  ☆12Updated 2 years ago
• deepgini / deepgini
  ☆18Updated 5 years ago
• longph1989 / Socrates
  ☆28Updated 2 years ago
• eth-sri / robust-code
  Adversarial Robustness for Code
  ☆15Updated 4 years ago
• DeepImportance / deepimportance_code_release
  ☆25Updated 4 years ago
• dgl-prc / rnn2automata
  ☆9Updated 2 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
• dgl-prc / m_testing_adversatial_sample
  ☆27Updated 5 years ago
• kupl / adapt
  ADAPT is the open source white-box testing framework for deep neural networks
  ☆22Updated 2 years ago
• pxzhang94 / ADF
  White-box Fairness Testing through Adversarial Sampling
  ☆13Updated 4 years ago
• TrustAI / DeepConcolic
  Concolic Testing for Deep Neural Networks
  ☆119Updated 4 years ago
• tcwangshiqi-columbia / ReluVal
  The released code of ReluVal in USENIX Security 2018
  ☆60Updated 5 years ago
• swa112003 / DistributionAwareDNNTesting
  ☆10Updated 4 years ago
• shiningrain / AUTOTRAINER
  An Automatic DNN TrainingProblem Detection and Repair System
  ☆18Updated last year
• soarsmu / attack-pretrain-models-of-code
  Replication Package for "Natural Attack for Pre-trained Models of Code", ICSE 2022
  ☆46Updated 11 months ago
• SEKE-Adversary / MHM
  Generating Adversarial Examples for Holding Robustness of Source Code Processing Models
  ☆14Updated 3 years ago
• testingautomated-usi / dnn-tip
  A collection of dnn test input prioritizers often used as benchmarks in recent literature.
  ☆18Updated 2 years ago
• klasleino / gloro
  Library for training globally-robust neural networks.
  ☆28Updated 2 years ago
• llylly / RANUM
  [ICSE 2023] Differentiable interpretation and failure-inducing input generation for neural network numerical bugs.
  ☆13Updated last year
• 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
• nuwuxian / morse
  ☆11Updated last year
• tcwangshiqi-columbia / symbolic_interval
  The library for symbolic interval
  ☆21Updated 5 years ago
• zemingd / Mixup4Code
  [SANER 2023] MixCode: Enhancing Code Classification by Mixup-Based Data Augmentation
  ☆15Updated last year
• ali-ghanbari / deepmufl-ase-2023
  Mutation-based Fault Localization of Deep Neural Networks
  ☆10Updated last year
• ClonedOne / MalwareBackdoors
  Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers
  ☆59Updated 3 years ago
• Huiying-Li / blacklight
  ☆18Updated 3 years ago