Alternatives and similar repositories for SSLGuard:

Users that are interested in SSLGuard are comparing it to the libraries listed below

• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆32Updated 2 years ago
• sbaresearch / model-watermarking
  Website & Documentation: https://sbaresearch.github.io/model-watermarking/
  ☆21Updated last year
• grasses / PromptCARE
  Code for paper: "PromptCARE: Prompt Copyright Protection by Watermark Injection and Verification", IEEE S&P 2024.
  ☆30Updated 6 months ago
• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆54Updated 2 years ago
• CGCL-codes / TeCo
  [CVPR 2023] The official implementation of our CVPR 2023 paper "Detecting Backdoors During the Inference Stage Based on Corruption Robust…
  ☆21Updated last year
• THUYimingLi / Open-sourced_Dataset_Protection
  This is the implementation of our paper 'Open-sourced Dataset Protection via Backdoor Watermarking', accepted by the NeurIPS Workshop on …
  ☆19Updated 3 years ago
• RorschachChen / entangled-watermark-torch
  ☆17Updated 3 years ago
• ZJZAC / Poison-Ink
  ☆17Updated last year
• psandovalsegura / autoregressive-poisoning
  Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)
  ☆19Updated 5 months ago
• THUYimingLi / Untargeted_Backdoor_Watermark
  This is the official implementation of our paper 'Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protecti…
  ☆53Updated 10 months ago
• AISafety-HKUST / Backdoor_Safety_Tuning
  Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)
  ☆25Updated 2 months ago
• zlh-thu / StealingVerification
  Defending against Model Stealing via Verifying Embedded External Features
  ☆35Updated 2 years ago
• cleverhans-lab / entangled-watermark
  ☆44Updated 3 years ago
• csdongxian / ANP_backdoor
  Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"
  ☆57Updated last year
• zqypku / mm_poison
  ☆20Updated last year
• Alan-Qin / Transfer_attack_RAP
  Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)
  ☆33Updated 2 years ago
• MadryLab / label-consistent-backdoor-code
  Code for "Label-Consistent Backdoor Attacks"
  ☆52Updated 4 years ago
• guanjiyang / SAC
  ☆18Updated 2 years ago
• wanlunsec / Beatrix
  ☆24Updated 2 years ago
• kaidi-jin / backdoor_samples_detection
  ☆10Updated 3 years ago
• YiZeng623 / frequency-backdoor
  ICCV 2021, We find most existing triggers of backdoor attacks in deep learning contain severe artifacts in the frequency domain. This Rep…
  ☆43Updated 2 years ago
• hsouri / Sleeper-Agent
  ☆65Updated 11 months ago
• KuofengGao / ASD
  [CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset
  ☆46Updated 10 months ago
• ssg-research / dawn-dynamic-adversarial-watermarking-of-neural-networks
  Watermarking against model extraction attacks in MLaaS. ACM MM 2021.
  ☆33Updated 3 years ago
• zhenglisec / Blind-Watermark-for-DNN
  The implement of paper "How to Prove Your Model Belongs to You: A Blind-Watermark based Framework to Protect Intellectual Property of DNN…
  ☆23Updated 4 years ago
• zhaisf / BadT2I
  [MM'23 Oral] "Text-to-image diffusion models can be easily backdoored through multimodal data poisoning"
  ☆26Updated last month
• arpitbansal297 / Certified_Watermarks
  ☆16Updated 2 years ago
• FlouriteJ / PoisonFrogs
  Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
  ☆17Updated 5 years ago
• ghua-ac / DNN_Watermark
  Implementation of IEEE TNNLS 2023 and Elsevier PR 2023 papers on backdoor watermarking for deep classification models with unambiguity an…
  ☆16Updated last year