suyeecav / Hybrid-Attack

Related projects ⓘ

Alternatives and complementary repositories for Hybrid-Attack

• jinyuan-jia / Certify_Topk
  ☆11Updated 4 years ago
• inspire-group / privacy-vs-robustness
  Privacy Risks of Securing Machine Learning Models against Adversarial Examples
  ☆44Updated 4 years ago
• superrrpotato / Defending-Neural-Backdoors-via-Generative-Distribution-Modeling
  The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749
  ☆31Updated 4 years ago
• Kooscii / BadNets
  ☆91Updated 4 years ago
• AI-secure / Meta-Nerual-Trojan-Detection
  ☆62Updated 4 years ago
• 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
• wronnyhuang / metapoison
  Craft poisoned data using MetaPoison
  ☆47Updated 3 years ago
• naiyeleo / ABS
  ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation
  ☆47Updated 2 years ago
• hyhmia / BlindMI
  ☆23Updated 2 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)
  ☆16Updated 4 years ago
• SPIN-UMass / ML-Privacy-Regulization
  ☆25Updated 5 years ago
• kaidi-jin / backdoor_samples_detection
  ☆10Updated 3 years ago
• MadryLab / backdoor_data_poisoning
  ☆25Updated 5 years ago
• Jianbo-Lab / HSJA
  ☆79Updated 3 years ago
• Huiying-Li / blacklight
  ☆16Updated 2 years ago
• Ping-C / certifiedpatchdefense
  Repository for Certified Defenses for Adversarial Patch ICLR-2020
  ☆32Updated 4 years ago
• snu-mllab / parsimonious-blackbox-attack
  Official TensorFlow implementation of "Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization" (ICML 2019)
  ☆37Updated 3 years ago
• pralab / IndicatorsOfAttackFailure
  Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples
  ☆18Updated 2 years ago
• thu-ml / Prior-Guided-RGF
  ☆40Updated last year
• ZiangYan / pda.pytorch
  Implementation of our ICLR 2021 paper: Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples.
  ☆11Updated 3 years ago
• AI-secure / Robustness-Against-Backdoor-Attacks
  RAB: Provable Robustness Against Backdoor Attacks
  ☆39Updated last year
• IBM / ZOO-Attack
  Codes for reproducing the black-box adversarial attacks in “ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Network…
  ☆55Updated 5 years ago
• garrisongys / STRIP
  This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"
  ☆49Updated last week
• jinyuan-jia / BadEncoder
  ☆76Updated 3 years ago
• ashafahi / inceptionv3-transferLearn-poison
  Attacking a dog vs fish classification that uses transfer learning inceptionV3
  ☆68Updated 6 years ago
• kangliucn / Fine-pruning-defense
  Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)
  ☆46Updated 6 years ago
• SSGAalto / prada-protecting-against-dnn-model-stealing-attacks
  Reference implementation of the PRADA model stealing defense. IEEE Euro S&P 2019.
  ☆33Updated 5 years ago
• cleverhans-lab / entangled-watermark
  ☆44Updated 3 years ago
• samuel-yeom / ml-privacy-csf18
  Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"
  ☆38Updated 5 years ago
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆86Updated 3 months ago