xiaosen-wang / Adversarial-Examples-Paper

Related projects: ⓘ

• garrisongys / STRIP
  This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"
  ☆47Updated 4 years ago
• jpzhang1810 / NAA
  Official Tensorflow implementation for "Improving Adversarial Transferability via Neuron Attribution-based Attacks" (CVPR 2022)
  ☆33Updated last year
• inspire-group / adv-patch-paper-list
  A paper list for localized adversarial patch research
  ☆124Updated 8 months ago
• VinAIResearch / Warping-based_Backdoor_Attack-release
  WaNet - Imperceptible Warping-based Backdoor Attack (ICLR 2021)
  ☆111Updated last month
• bboylyg / NAD
  This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…
  ☆115Updated 2 years ago
• naiyeleo / ABS
  ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation
  ☆47Updated 2 years ago
• yuezunli / ISSBA
  Invisible Backdoor Attack with Sample-Specific Triggers
  ☆85Updated 2 years ago
• ZhengyuZhao / TransferAttackEval
  Revisiting Transferable Adversarial Images (arXiv)
  ☆113Updated last month
• AdelaideAuto-IDLab / Februus
  Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems
  ☆23Updated 3 years ago
• FlouriteJ / PoisonFrogs
  Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
  ☆17Updated 5 years ago
• qilong-zhang / Pytorch_Universal-adversarial-perturbation
  A PyTorch implementation of universal adversarial perturbation (UAP) which is more easy to understand and implement.
  ☆53Updated 2 years ago
• inspire-group / PatchCleanser
  Code for "PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier"
  ☆34Updated last year
• jinyuan-jia / BadEncoder
  ☆73Updated 3 years ago
• aldahdooh / detectors_review
  ☆48Updated 2 years ago
• JHL-HUST / VT
  Enhancing the Transferability of Adversarial Attacks through Variance Tuning
  ☆81Updated 6 months ago
• JHL-HUST / SVRE
  Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability
  ☆23Updated last year
• A-LinCui / Adversarial_Patch_Attack
  Pytorch implementation of Adversarial Patch on ImageNet (arXiv: https://arxiv.org/abs/1712.09665)
  ☆52Updated 4 years ago
• FenHua / Adversarial-Examples
  AdvAttacks; adversarial examples; FGSM;JSMA;CW;single pixel attack; local search attack;deepfool
  ☆54Updated 5 years ago
• ashafahi / inceptionv3-transferLearn-poison
  Attacking a dog vs fish classification that uses transfer learning inceptionV3
  ☆67Updated 6 years ago
• ZhengyuZhao / Targeted-Transfer
  Simple yet effective targeted transferable attack (NeurIPS 2021)
  ☆47Updated last year
• UMBCvision / Hidden-Trigger-Backdoor-Attacks
  Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"
  ☆114Updated 10 months ago
• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆49Updated last year
• hcguoO0 / FIA
  code for "Feature Importance-aware Transferable Adversarial Attacks"
  ☆73Updated 2 years ago
• JHL-HUST / SI-NI-FGSM
  ☆66Updated 3 years ago
• HanxunH / Unlearnable-Examples
  [ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable
  ☆148Updated 2 months ago
• RjDuan / AdvCam-Hide-Adv-with-Natural-Styles
  Code for "Adversarial Camouflage: Hiding Physical World Attacks with Natural Styles" (CVPR 2020)
  ☆86Updated last year
• khoadoan106 / backdoor_attacks
  ☆24Updated last year
• kangliucn / Fine-pruning-defense
  Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)
  ☆47Updated 5 years ago
• Megum1 / DFST
  [AAAI'21] Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification
  ☆28Updated 3 months ago
• ylhz / tf_to_pytorch_model
  Convert tensorflow model to pytorch model via [MMdnn](https://github.com/microsoft/MMdnn) for adversarial attacks.
  ☆74Updated last year