Alternatives and similar repositories for ModelDiff

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

• Testing4AI / DeepJudge
  Code release for DeepJudge (S&P'22)
  ☆51Updated 2 years ago
• AI-secure / Meta-Nerual-Trojan-Detection
  ☆66Updated 4 years ago
• Huiying-Li / blacklight
  ☆17Updated 2 years ago
• Testing4AI / RobOT
  Code release for RobOT (ICSE'21)
  ☆15Updated 2 years ago
• Gwinhen / PixelBackdoor
  This is the implementation for CVPR 2022 Oral paper "Better Trigger Inversion Optimization in Backdoor Scanning."
  ☆24Updated 3 years ago
• AI-secure / Robustness-Against-Backdoor-Attacks
  RAB: Provable Robustness Against Backdoor Attacks
  ☆38Updated last year
• ZQ-Struggle / AdvDoor
  AdvDoor: Adversarial Backdoor Attack of Deep Learning System
  ☆31Updated 7 months ago
• alps-lab / Trojan-Zoo
  TrojanZoo is a universal pytorch platform for conducting security researches (especially for backdoor attacks/defenses) for image classif…
  ☆19Updated 4 years ago
• kangliucn / Fine-pruning-defense
  Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)
  ☆47Updated 6 years ago
• hyhmia / BlindMI
  ☆23Updated 2 years ago
• Megum1 / ODSCAN
  [IEEE S&P'24] ODSCAN: Backdoor Scanning for Object Detection Models
  ☆17Updated 5 months ago
• Megum1 / BEAGLE
  [NDSS'23] BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense
  ☆17Updated last year
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆88Updated 9 months ago
• KaiyuanZh / censor
  [NDSS 2025] CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling
  ☆14Updated 4 months ago
• dgl-prc / m_testing_adversatial_sample
  ☆25Updated 5 years ago
• nthu-datalab / On.the.Trade-off.between.Adversarial.and.Backdoor.Robustness
  Code for "On the Trade-off between Adversarial and Backdoor Robustness" (NIPS 2020)
  ☆17Updated 4 years ago
• reds-lab / ASSET
  This repository is the official implementation of the paper "ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning…
  ☆17Updated last year
• lmunoz-gonzalez / Poisoning-Attacks-with-Back-gradient-Optimization
  Example of the attack described in the paper "Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization"
  ☆21Updated 5 years ago
• reza321 / T-Miner
  ☆19Updated last year
• Eyr3 / FLTracer
  FLTracer: Accurate Poisoning Attack Provenance in Federated Learning
  ☆21Updated 11 months ago
• PurduePAML / Machine-Learning-Security-Seminar
  Machine Learning & Security Seminar @Purdue University
  ☆25Updated 2 years ago
• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆53Updated 2 years ago
• naiyeleo / ABS
  ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation
  ☆52Updated 3 years ago
• hkunzhe / label_consistent_attacks_pytorch
  A minimal PyTorch implementation of Label-Consistent Backdoor Attacks
  ☆30Updated 4 years ago
• bboylyg / ABL
  Anti-Backdoor learning (NeurIPS 2021)
  ☆81Updated last year
• Unispac / Subnet-Replacement-Attack
  Official implementation of (CVPR 2022 Oral) Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks.
  ☆26Updated 3 years ago
• Gwinhen / BackdoorVault
  A toolbox for backdoor attacks.
  ☆22Updated 2 years ago
• csdongxian / ANP_backdoor
  Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"
  ☆57Updated 2 years ago
• jinyuan-jia / MemGuard
  ☆45Updated 5 years ago
• superrrpotato / Defending-Neural-Backdoors-via-Generative-Distribution-Modeling
  The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749
  ☆34Updated 5 years ago