Alternatives and similar repositories for Socrates:

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

• pxzhang94 / ADF
  White-box Fairness Testing through Adversarial Sampling
  ☆13Updated 3 years ago
• Testing4AI / RobOT
  Code release for RobOT (ICSE'21)
  ☆14Updated 2 years ago
• DeepImportance / deepimportance_code_release
  ☆24Updated 3 years ago
• PurduePAML / Machine-Learning-Security-Seminar
  Machine Learning & Security Seminar @Purdue University
  ☆25Updated last year
• tcwangshiqi-columbia / symbolic_interval
  The library for symbolic interval
  ☆20Updated 4 years ago
• dgl-prc / m_testing_adversatial_sample
  ☆24Updated 4 years ago
• deepgini / deepgini
  ☆19Updated 5 years ago
• tcwangshiqi-columbia / ReluVal
  The released code of ReluVal in USENIX Security 2018
  ☆57Updated 4 years ago
• klasleino / gloro
  Library for training globally-robust neural networks.
  ☆28Updated last year
• tcwangshiqi-columbia / Neurify
  The released code of Neurify in NIPS 2018
  ☆46Updated 2 years ago
• ZhenlanJi / DL_CC
  CC: Causality-Aware Coverage Criterion for Deep Neural Networks
  ☆11Updated last year
• Lyz1213 / Backdoored_PPLM
  ☆14Updated last year
• AI-secure / Certified-Robustness-SoK-Oldver
  This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on …
  ☆100Updated 2 years ago
• AI-secure / VeriGauge
  A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]
  ☆88Updated last year
• IS2Lab / awesome-ai-testing
  ☆15Updated 7 months ago
• dgl-prc / rnn2automata
  ☆9Updated 2 years ago
• kupl / adapt
  ADAPT is the open source white-box testing framework for deep neural networks
  ☆21Updated last year
• TrustAI / DeepConcolic
  Concolic Testing for Deep Neural Networks
  ☆117Updated 3 years ago
• Megum1 / ODSCAN
  [IEEE S&P'24] ODSCAN: Backdoor Scanning for Object Detection Models
  ☆12Updated last month
• 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
• Jacob-yen / GRIST
  This is the implementation repository of our incoming ESEC/FSE 2021 paper: Exposing Numerical Bugs in Deep Learning via GradientBack-prop…
  ☆13Updated 2 years ago
• VeriDeep / DLV
  Safety Verification of Deep Neural Networks
  ☆50Updated 6 years ago
• xiaoningdu / deepstellar
  ☆15Updated 4 years ago
• LingfengZhang98 / EIDIG
  Source code, datasets and models of the paper "Efficient White-box Fairness Testing through Gradient Search" by Lingfeng Zhang, Yueling Z…
  ☆11Updated 3 years ago
• eth-sri / sven
  ☆101Updated 6 months ago
• yuanchun-li / ModelDiff
  ☆17Updated 3 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
• coinse / sadl
  Code release of a paper "Guiding Deep Learning System Testing using Surprise Adequacy"
  ☆46Updated 2 years ago
• Jacob-yen / LEMON
  This is the implement repository of our upcoming ESEC/FSE 2020 paper: Deep Learning Library Testing via Effective Model Generation.
  ☆54Updated last year
• turned2670 / DLFuzz
  DLFuzz: An Efficient Fuzzing Testing Framework of Deep Learning Systems
  ☆52Updated 6 years ago