Alternatives and similar repositories for SABR:

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

• sokcertifiedrobustness / sokcertifiedrobustness.github.io
  Keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on popular da…
  ☆18Updated 10 months ago
• eth-sri / colt
  Convex Layerwise Adversarial Training (COLT)
  ☆28Updated 4 years ago
• shizhouxing / Fast-Certified-Robust-Training
  [NeurIPS 2021] Fast Certified Robust Training with Short Warmup
  ☆24Updated last year
• cassidylaidlaw / perceptual-advex
  Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".
  ☆55Updated 3 years ago
• AI-secure / VeriGauge
  A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]
  ☆89Updated 2 years ago
• alevine0 / patchSmoothing
  Code for the paper "(De)Randomized Smoothing for Certifiable Defense against Patch Attacks" by Alexander Levine and Soheil Feizi.
  ☆17Updated 2 years ago
• Ping-C / certifiedpatchdefense
  Repository for Certified Defenses for Adversarial Patch ICLR-2020
  ☆32Updated 4 years ago
• watml / fast-wasserstein-adversarial
  Implementation of Wasserstein adversarial attacks.
  ☆23Updated 4 years ago
• HanxunH / RobustWRN
  [NeurIPS2021] Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
  ☆34Updated 9 months ago
• AI-secure / semantic-randomized-smoothing
  [CCS 2021] TSS: Transformation-specific smoothing for robustness certification
  ☆25Updated last year
• huanzhang12 / CROWN-IBP
  Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTor…
  ☆94Updated 3 years ago
• wielandbrendel / adaptive_attacks_paper
  Code for "On Adaptive Attacks to Adversarial Example Defenses"
  ☆87Updated 4 years ago
• YihanWang617 / On-ell_p-Robustness-of-Ensemble-Stumps-and-Trees
  Code of On L-p Robustness of Decision Stumps and Trees, ICML 2020
  ☆10Updated 4 years ago
• haizhongzheng / ATTA
  ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)
  ☆36Updated 4 years ago
• AI-secure / Certified-Robustness-SoK-Oldver
  This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on …
  ☆99Updated 2 years ago
• cmhcbb / attackbox
  ☆59Updated 3 years ago
• fra31 / robust-finetuning
  Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"
  ☆18Updated 2 years ago
• pralab / Fast-Minimum-Norm-FMN-Attack
  Foolbox implementation for NeurIPS 2021 Paper: "Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints".
  ☆25Updated 3 years ago
• inspire-group / patch-defense-leaderboard
  A Leaderboard for Certifiable Robustness against Adversarial Patch Attacks
  ☆21Updated last year
• AI-secure / Transferability-Reduced-Smooth-Ensemble
  ☆22Updated 3 years ago
• tcwangshiqi-columbia / GCP-CROWN
  The official repo for GCP-CROWN paper
  ☆13Updated 2 years ago
• umd-huang-lab / Dynamics-Aware-Robust-Training
  ICLR 2023 paper "Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness" by Yuancheng Xu, Yanchao Sun, Micah Gold…
  ☆25Updated last year
• imrahulr / adversarial_robustness_pytorch
  Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…
  ☆96Updated 3 years ago
• KaidiXu / LiRPA_Verify
  Code for paper "Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers"
  ☆17Updated 2 years ago
• fra31 / evaluating-adaptive-test-time-defenses
  ☆22Updated last year
• sokcertifiedrobustness / VeriGauge-deprecated
  ☆11Updated 2 years ago
• eth-sri / adaptive-auto-attack
  ☆23Updated 3 years ago
• dedeswim / vits-robustness-torch
  Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]
  ☆52Updated 2 years ago
• nmndeep / revisiting-at
  [NeurIPS 2023] Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threa…
  ☆38Updated 4 months ago
• shizhouxing / Local-Lipschitz-Constants
  [NeurIPS 2022] Code for paper "Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation"
  ☆24Updated last year