Alternatives and similar repositories for DP-RandP

Users that are interested in DP-RandP are comparing it to the libraries listed below

• RU-System-Software-and-Security / NONE
  ☆11Updated 2 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 2 years ago
• jinhaoduan / SecMI
  [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?
  ☆36Updated 9 months ago
• jinghuichen / AWM
  Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)
  ☆15Updated 2 years ago
• AISafety-HKUST / Backdoor_Safety_Tuning
  Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)
  ☆26Updated 6 months ago
• Jayfeather1024 / Backdoor-Enhanced-Alignment
  ☆20Updated 5 months ago
• AI-secure / MMDT
  Comprehensive Assessment of Trustworthiness in Multimodal Foundation Models
  ☆21Updated 2 months ago
• reds-lab / CLIP-MIA
  This is an official repository for Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study (ICCV2023…
  ☆22Updated last year
• bboylyg / RNP
  Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)
  ☆37Updated last year
• kong13661 / PIA
  Official repo for An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization
  ☆14Updated last year
• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆32Updated 2 years ago
• wagner-group / MarkMyWords
  ☆29Updated 11 months ago
• csdongxian / ANP_backdoor
  Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"
  ☆57Updated 2 years ago
• ZhentingWang / DIAGNOSIS
  ☆20Updated last year
• Jimmy-di / camouflage-poisoning
  Camouflage poisoning via machine unlearning
  ☆17Updated 2 years ago
• BrachioLab / adversarial_prompting
  ☆53Updated 2 years ago
• umd-huang-lab / VLM-Poisoning
  Code for Neurips 2024 paper "Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models"
  ☆49Updated 4 months ago
• neelsjain / baseline-defenses
  Official Code for "Baseline Defenses for Adversarial Attacks Against Aligned Language Models"
  ☆24Updated last year
• princeton-polaris-lab / Evaluating-Durable-Safeguards
  [ICLR 2025] On Evluating the Durability of Safegurads for Open-Weight LLMs
  ☆13Updated 3 months ago
• rmin2000 / adv_tracing
  Identification of the Adversary from a Single Adversarial Example (ICML 2023)
  ☆10Updated 10 months ago
• facebookresearch / jailbreak-objectives
  Code and data to go with the Zhu et al. paper "An Objective for Nuanced LLM Jailbreaks"
  ☆31Updated 5 months ago
• yxoh / prompt_leak_usenix2024
  ☆12Updated last year
• YuxinWenRick / canary-in-a-coalmine
  ☆34Updated last year
• VITA-Group / Shake-to-Leak
  ☆14Updated 2 months ago
• ethz-spylab / diffusion_denoised_smoothing
  Certified robustness "for free" using off-the-shelf diffusion models and classifiers
  ☆41Updated 2 years ago
• OPTML-Group / Unlearn-WorstCase
  [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …
  ☆21Updated last week
• shash42 / Evaluating-Inexact-Unlearning
  ☆12Updated last year
• RU-System-Software-and-Security / BppAttack
  ☆19Updated 2 years ago
• Alan-Qin / Transfer_attack_RAP
  Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)
  ☆33Updated 2 years ago
• zhenglisec / Label-Only-MIA
  ☆19Updated 8 months ago