Alternatives and similar repositories for channel-Lipschitzness-based-pruning:

Users that are interested in channel-Lipschitzness-based-pruning are comparing it to the libraries listed below

• AISafety-HKUST / Backdoor_Safety_Tuning
  Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)
  ☆25Updated 5 months ago
• HanxunH / CognitiveDistillation
  [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image
  ☆35Updated 6 months ago
• jinghuichen / AWM
  Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)
  ☆15Updated 2 years ago
• RJ-T / NIPS2022_EP_BNP
  Official Implementation of NIPS 2022 paper Pre-activation Distributions Expose Backdoor Neurons
  ☆14Updated 2 years ago
• sunbelbd / invisible_backdoor_attacks
  ☆19Updated 3 years ago
• csdongxian / ANP_backdoor
  Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"
  ☆57Updated last year
• Alan-Qin / Transfer_attack_RAP
  Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)
  ☆33Updated 2 years ago
• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆53Updated 2 years ago
• hkunzhe / label_consistent_attacks_pytorch
  A minimal PyTorch implementation of Label-Consistent Backdoor Attacks
  ☆30Updated 4 years ago
• Gwinhen / PixelBackdoor
  This is the implementation for CVPR 2022 Oral paper "Better Trigger Inversion Optimization in Backdoor Scanning."
  ☆24Updated 3 years ago
• SCLBD / DBD
  ☆31Updated 3 years ago
• wanlunsec / Beatrix
  ☆24Updated 2 years ago
• zhenglisec / Label-Only-MIA
  ☆19Updated 7 months ago
• RU-System-Software-and-Security / FeatureRE
  ☆27Updated 2 years ago
• RU-System-Software-and-Security / BppAttack
  ☆19Updated 2 years ago
• hsouri / Sleeper-Agent
  ☆65Updated last year
• JunfengGo / SCALE-UP
  ☆23Updated 10 months ago
• CGCL-codes / TeCo
  [CVPR 2023] The official implementation of our CVPR 2023 paper "Detecting Backdoors During the Inference Stage Based on Corruption Robust…
  ☆23Updated last year
• RU-System-Software-and-Security / NONE
  ☆11Updated 2 years ago
• lafeat / apbench
  APBench: A Unified Availability Poisoning Attack and Defenses Benchmark (TMLR 08/2024)
  ☆30Updated last week
• uchicago-sandlab / naturalbackdoors
  Code for identifying natural backdoors in existing image datasets.
  ☆15Updated 2 years ago
• liuyugeng / baadd
  Code for Backdoor Attacks Against Dataset Distillation
  ☆34Updated 2 years ago
• bboylyg / RNP
  Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)
  ☆35Updated last year
• bymavis / CAS_ICLR2021
  ☆58Updated 2 years ago
• TDteach / Demon-in-the-Variant
  ☆12Updated 3 years ago
• sanjaykariyappa / MAZE
  Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".
  ☆30Updated 3 years ago
• AI-secure / Robustness-Against-Backdoor-Attacks
  RAB: Provable Robustness Against Backdoor Attacks
  ☆39Updated last year
• Unispac / Circumventing-Backdoor-Defenses
  Code Repository for the Paper ---Revisiting the Assumption of Latent Separability for Backdoor Defenses (ICLR 2023)
  ☆40Updated 2 years ago
• val-iisc / NuAT
  Towards Efficient and Effective Adversarial Training, NeurIPS 2021
  ☆17Updated 3 years 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