Alternatives and similar repositories for SID

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

• tootouch / SID

  View on GitHub
  pytorch reimplementation for Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain
  ☆11Oct 30, 2022Updated 3 years ago
• Jianbo-Lab / ML-LOO

  View on GitHub
  ☆16Feb 20, 2020Updated 5 years ago
• OwenSec / DeepDetector

  View on GitHub
  an efficient method for detecting adversarial image examples
  ☆18Jun 3, 2018Updated 7 years ago
• LiangSiyuan21 / Parallel-Rectangle-Flip-Attack-A-Query-based-Black-box-Attack-against-Object-Detection

  View on GitHub
  A Implementation of ICCV-2021(Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection)
  ☆28Aug 27, 2021Updated 4 years ago
• RU-System-Software-and-Security / NIC

  View on GitHub
  ☆11Mar 24, 2023Updated 2 years ago
• Harry24k / catastrophic-overfitting

  View on GitHub
  Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]
  ☆28Jun 27, 2022Updated 3 years ago
• aldahdooh / detectors_review

  View on GitHub
  ☆53Jan 7, 2022Updated 4 years ago
• taranO / defending-adversarial-attacks-by-RD

  View on GitHub
  ☆12Mar 15, 2019Updated 6 years ago
• omidmnezami / pick-object-attack

  View on GitHub
  Type-Specific Adversarial Attack for Object Detection
  ☆13Aug 27, 2021Updated 4 years ago
• arpitbansal297 / Certified_Watermarks

  View on GitHub
  ☆16Jul 17, 2022Updated 3 years ago
• safreita1 / unmask

  View on GitHub
  Adversarial detection and defense for deep learning systems using robust feature alignment
  ☆18Nov 10, 2020Updated 5 years ago
• stevetkjan / Digital2Physical

  View on GitHub
  ☆14Jul 25, 2020Updated 5 years ago
• JHL-HUST / Admix

  View on GitHub
  ☆36Feb 23, 2024Updated last year
• giladcohen / NNIF_adv_defense

  View on GitHub
  Detection of adversarial examples using influence functions and nearest neighbors
  ☆37Nov 22, 2022Updated 3 years ago
• PKU-ML / CFA

  View on GitHub
  ☆20Mar 14, 2025Updated 11 months ago
• abhishekaich27 / GAMA-pytorch

  View on GitHub
  [NeurIPS 2022] GAMA: Generative Adversarial Multi-Object Scene Attacks
  ☆19Sep 5, 2023Updated 2 years ago
• gokulkarthik / MagNet.pytorch

  View on GitHub
  A PyTorch implementation of `MagNet: a Two-Pronged Defense against Adversarial Examples`
  ☆16Feb 5, 2021Updated 5 years ago
• cure-lab / ContraNet

  View on GitHub
  This is the official implementation of ContraNet (NDSS2022).
  ☆21Aug 31, 2023Updated 2 years ago
• v-wangg / OrthogonalPGD

  View on GitHub
  ☆22Sep 13, 2021Updated 4 years ago
• AI-secure / SemAttack

  View on GitHub
  [NAACL 2022] "SemAttack: Natural Textual Attacks via Different Semantic Spaces" by Boxin Wang, Chejian Xu, Xiangyu Liu, Yu Cheng, Bo Li
  ☆21Jun 11, 2022Updated 3 years ago
• wielandbrendel / adaptive_attacks_paper

  View on GitHub
  Code for "On Adaptive Attacks to Adversarial Example Defenses"
  ☆87Feb 18, 2021Updated 4 years ago
• FenHua / Adversarial-Examples

  View on GitHub
  AdvAttacks; adversarial examples; FGSM;JSMA;CW;single pixel attack; local search attack;deepfool
  ☆58Aug 8, 2019Updated 6 years ago
• yizhe-ang / detectron2-1

  View on GitHub
  Implements Adversarial Examples for Semantic Segmentation and Object Detection, using PyTorch and Detectron2
  ☆51Feb 27, 2021Updated 4 years ago
• cassidylaidlaw / perceptual-advex

  View on GitHub
  Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".
  ☆56Jan 18, 2022Updated 4 years ago
• point0bar1 / ebm-defense

  View on GitHub
  PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM
  ☆26Jun 30, 2020Updated 5 years ago
• titu1994 / Adversarial-Attacks-Time-Series

  View on GitHub
  Codebase for the paper "Adversarial Attacks on Time Series"
  ☆24Mar 26, 2019Updated 6 years ago
• sunblaze-ucb / transferability-advdnn-pub

  View on GitHub
  Public repo for transferability ICLR 2017 paper
  ☆53Jan 3, 2019Updated 7 years ago
• microsoft / PixelDefend

  View on GitHub
  Source Code for ICRL 2018 Paper: PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples
  ☆26Feb 6, 2020Updated 6 years ago
• Alexkael / Randomized-Adversarial-Training

  View on GitHub
  ☆31May 30, 2024Updated last year
• rfeinman / detecting-adversarial-samples

  View on GitHub
  Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)
  ☆111Feb 14, 2018Updated 7 years ago
• nblt / Sub-AT

  View on GitHub
  [CVPR 2022 oral] Subspace Adversarial Training
  ☆28Apr 27, 2023Updated 2 years ago
• xherdan76 / A-Unified-Approach-to-Interpreting-and-Boosting-Adversarial-Transferability

  View on GitHub
  A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)
  ☆31Apr 22, 2022Updated 3 years ago
• cihangxie / NIPS2017_adv_challenge_defense

  View on GitHub
  Mitigating Adversarial Effects Through Randomization
  ☆120Mar 20, 2018Updated 7 years ago
• jpzhang1810 / NAA

  View on GitHub
  Official Tensorflow implementation for "Improving Adversarial Transferability via Neuron Attribution-based Attacks" (CVPR 2022)
  ☆35Mar 29, 2023Updated 2 years ago
• SCLBD / MCG-Blackbox

  View on GitHub
  The MCG black-box attack framework published in TPAMI 2022
  ☆37Jan 17, 2023Updated 3 years ago
• BorealisAI / mma_training

  View on GitHub
  Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"
  ☆34Apr 1, 2020Updated 5 years ago
• ZSHsh98 / EPS-AD

  View on GitHub
  This is the source code for Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score (ICML2023).
  ☆40Oct 15, 2024Updated last year
• thong3le / blackbox-attack

  View on GitHub
  Blackbox attacks for deep neural network models
  ☆70Aug 2, 2018Updated 7 years ago
• EASYGOING45 / LYXCodeNotes

  View on GitHub
  2024届求职-C++后端-学习笔记-操作系统、计算机网络、C++语言+算法
  ☆13Oct 31, 2023Updated 2 years ago