Alternatives and similar repositories for awesome-ai-testing

Users that are interested in awesome-ai-testing are comparing it to the libraries listed below

• Testing4AI / RobOT
  Code release for RobOT (ICSE'21)
  ☆15Updated 2 years ago
• PurduePAML / Machine-Learning-Security-Seminar
  Machine Learning & Security Seminar @Purdue University
  ☆25Updated 2 years ago
• longph1989 / Socrates
  ☆28Updated 2 years ago
• Testing4AI / DeepJudge
  Code release for DeepJudge (S&P'22)
  ☆51Updated 2 years ago
• yyl-github-1896 / CodeTAE
  This is the official code repository for paper "Exploiting the Adversarial Example Vulnerability of Transfer Learning of Source Code".
  ☆12Updated 3 months ago
• DeepImportance / deepimportance_code_release
  ☆25Updated 4 years ago
• SolidShen / BAIT
  🔥🔥🔥 Detecting hidden backdoors in Large Language Models with only black-box access
  ☆39Updated 2 months ago
• TrustAI / DeepConcolic
  Concolic Testing for Deep Neural Networks
  ☆120Updated 4 years ago
• eth-sri / sven
  ☆121Updated last year
• ZhangZhuoSJTU / LINT
  ☆16Updated 11 months ago
• pxzhang94 / ADF
  White-box Fairness Testing through Adversarial Sampling
  ☆13Updated 4 years ago
• reza321 / T-Miner
  ☆19Updated last year
• dgl-prc / m_testing_adversatial_sample
  ☆27Updated 5 years ago
• AI-secure / Meta-Nerual-Trojan-Detection
  ☆66Updated 4 years ago
• ClonedOne / MalwareBackdoors
  Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers
  ☆59Updated 3 years ago
• usnistgov / trojai-literature
  ☆147Updated 10 months 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 / symbolic_interval
  The library for symbolic interval
  ☆21Updated 5 years ago
• iliaishacked / sponge_examples
  ☆25Updated 3 years ago
• ZhenlanJi / DL_CC
  CC: Causality-Aware Coverage Criterion for Deep Neural Networks
  ☆12Updated 2 years ago
• Megum1 / BEAGLE
  [NDSS'23] BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense
  ☆17Updated last year
• ZJUNESA / SANDP
  Seminar 2022
  ☆21Updated last month
• AISIGSJTU / Siren
  Siren: Byzantine-robust Federated Learning via Proactive Alarming (SoCC '21)
  ☆11Updated 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 …
  ☆98Updated 2 years ago
• yuanchun-li / ModelDiff
  ☆18Updated 4 years ago
• easywood0204 / SampDetox
  SampDetox: Black-box Backdoor Defense via Perturbation-based Sample Detoxification
  ☆12Updated 2 months ago
• turned2670 / DLFuzz
  DLFuzz: An Efficient Fuzzing Testing Framework of Deep Learning Systems
  ☆52Updated 7 years ago
• Kooscii / BadNets
  ☆98Updated 4 years ago
• wssun / BADCODE
  Backdooring Neural Code Search
  ☆13Updated last year
• llylly / RANUM
  [ICSE 2023] Differentiable interpretation and failure-inducing input generation for neural network numerical bugs.
  ☆13Updated last year