Alternatives and similar repositories for deep-regression-unlearning:

Users that are interested in deep-regression-unlearning are comparing it to the libraries listed below

• Jimmy-di / camouflage-poisoning
  Camouflage poisoning via machine unlearning
  ☆16Updated 2 years ago
• ayushkumartarun / zero-shot-unlearning
  Official repo of the paper Zero-Shot Machine Unlearning accepted in IEEE Transactions on Information Forensics and Security
  ☆38Updated last year
• bboylyg / RNP
  Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)
  ☆35Updated last year
• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆48Updated 2 years ago
• liuyugeng / baadd
  Code for Backdoor Attacks Against Dataset Distillation
  ☆32Updated last year
• inspire-group / unlearning-verification
  verifying machine unlearning by backdooring
  ☆20Updated last year
• yxoh / prompt_leak_usenix2024
  ☆12Updated 9 months ago
• reds-lab / Meta-Sift
  The official implementation of USENIX Security'23 paper "Meta-Sift" -- Ten minutes or less to find a 1000-size or larger clean subset on …
  ☆18Updated last year
• wanglun1996 / secure-robust-federated-learning
  ☆54Updated 2 years ago
• fmy266 / Pytorch-Backdoor-Unlearning
  Pytorch implementation of backdoor unlearning.
  ☆17Updated 2 years ago
• conditionWang / Data_Centric_AI_IP_Protection
  This is the repository that introduces research topics related to protecting intellectual property (IP) of AI from a data-centric perspec…
  ☆22Updated last year
• jinyuan-jia / BaggingCertifyDataPoisoning
  ☆10Updated 4 years ago
• AISafety-HKUST / Backdoor_Safety_Tuning
  Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)
  ☆25Updated 3 months ago
• cleverhans-lab / unrolling-sgd
  code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22
  ☆22Updated 2 years ago
• KaiyuanZh / FLIP
  [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
  ☆52Updated 2 months ago
• RJ-T / NIPS2022_EP_BNP
  Official Implementation of NIPS 2022 paper Pre-activation Distributions Expose Backdoor Neurons
  ☆14Updated 2 years ago
• hammlab / PoisoningCertifiedDefenses
  How Robust are Randomized Smoothing based Defenses to Data Poisoning? (CVPR 2021)
  ☆13Updated 3 years ago
• AI-secure / Robustness-Against-Backdoor-Attacks
  RAB: Provable Robustness Against Backdoor Attacks
  ☆39Updated last year
• wanlunsec / Beatrix
  ☆24Updated 2 years ago
• alevine0 / DPA
  Code for the paper "Deep Partition Aggregation: Provable Defenses against General Poisoning Attacks"
  ☆12Updated 2 years ago
• desternylin / perfed
  ☆15Updated last year
• AI-secure / Meta-Nerual-Trojan-Detection
  ☆64Updated 4 years ago
• zhuohangli / GGL
  A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".
  ☆57Updated 2 years ago
• JunyiZhu-AI / surrogate_model_extension
  Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning [Accepted at ICML 2023]
  ☆11Updated 10 months ago
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆46Updated 2 years ago
• zhmzm / Poisoning_Backdoor-critical_Layers_Attack
  [ICLR2024] "Backdoor Federated Learning by Poisoning Backdoor-Critical Layers"
  ☆29Updated 2 months ago
• ShawnXYang / AccumulativeAttack
  ☆19Updated 3 years ago
• ksreenivasan / OOD_Federated_Learning
  ☆68Updated 2 years ago
• shenzebang / CENTAUR-Privacy-Federated-Representation-Learning
  A PyTorch based repository for Federate Learning with Differential Privacy
  ☆15Updated last year
• DennisLiu2022 / Membership-Inference-Attacks-by-Exploiting-Loss-Trajectory
  ☆24Updated 2 years ago