Alternatives and similar repositories for Gradient-Shaping

Users that are interested in Gradient-Shaping are comparing it to the libraries listed below

• ganeshdg95 / Leveraging-Adversarial-Examples-to-Quantify-Membership-Information-Leakage
  ☆19Updated 2 years ago
• AI-secure / Robustness-Against-Backdoor-Attacks
  RAB: Provable Robustness Against Backdoor Attacks
  ☆39Updated 2 years ago
• DennisLiu2022 / Membership-Inference-Attacks-by-Exploiting-Loss-Trajectory
  ☆25Updated 3 years ago
• fmy266 / Pytorch-Backdoor-Unlearning
  Pytorch implementation of backdoor unlearning.
  ☆21Updated 3 years ago
• hammlab / PoisoningCertifiedDefenses
  How Robust are Randomized Smoothing based Defenses to Data Poisoning? (CVPR 2021)
  ☆14Updated 4 years ago
• ShawnXYang / AccumulativeAttack
  ☆19Updated 4 years ago
• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆32Updated 3 years ago
• IBM / model-sanitization
  Codes for reproducing the results of the paper "Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness" published at IC…
  ☆27Updated 5 years ago
• jinyuan-jia / BaggingCertifyDataPoisoning
  ☆12Updated 5 years ago
• facebookresearch / calibration_membership
  Public implementation of the paper "On the Importance of Difficulty Calibration in Membership Inference Attacks".
  ☆16Updated 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
  ☆34Updated 5 years ago
• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆48Updated 3 years ago
• alevine0 / DPA
  Code for the paper "Deep Partition Aggregation: Provable Defenses against General Poisoning Attacks"
  ☆13Updated 3 years ago
• yfchen1994 / poisoning_membership
  ☆20Updated 2 months ago
• MadryLab / backdoor_data_poisoning
  ☆26Updated 6 years ago
• Jimmy-di / camouflage-poisoning
  Camouflage poisoning via machine unlearning
  ☆18Updated 6 months ago
• sam-yeom / ml-privacy-csf18
  Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"
  ☆39Updated 6 years ago
• inspire-group / unlearning-verification
  verifying machine unlearning by backdooring
  ☆20Updated 2 years ago
• SPIN-UMass / ML-Privacy-Regulization
  ☆25Updated 7 years ago
• DependableSystemsLab / MIA_defense_HAMP
  Code for the paper "Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction" …
  ☆12Updated 2 years ago
• wronnyhuang / metapoison
  Craft poisoned data using MetaPoison
  ☆54Updated 4 years ago
• shrezaei / MI-Attack
  ☆32Updated last year
• YuYang0901 / EPIC
  Not All Poisons are Created Equal: Robust Training against Data Poisoning (ICML 2022)
  ☆22Updated 3 years ago
• csdongxian / ANP_backdoor
  Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"
  ☆62Updated 2 years ago
• AISafety-HKUST / Backdoor_Safety_Tuning
  Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)
  ☆27Updated last year
• wuyinjun-1993 / DeltaGrad
  ☆31Updated 4 years ago
• nvedant07 / Fairness-Through-Robustness
  Official code for FAccT'21 paper "Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning" https://arxiv.org/abs…
  ☆13Updated 4 years ago
• zhenglisec / Label-Only-MIA
  ☆21Updated last year
• dayu11 / Gradient-Embedding-Perturbation
  ☆27Updated 3 years ago
• VITA-Group / Random-Shuffling-BackdoorDetect
  [NeurIPS 2022] "Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets" by Ruisi Cai*, Zhenyu Zh…
  ☆21Updated 3 years ago