ashafahi / inceptionv3-transferLearn-poison
Attacking a dog vs fish classification that uses transfer learning inceptionV3
☆68Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for inceptionv3-transferLearn-poison
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)☆46Updated 6 years ago
- ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation☆47Updated 2 years ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆50Updated 2 years ago
- This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"☆49Updated last week
- ☆76Updated 3 years ago
- ☆48Updated 2 years ago
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆29Updated 4 years ago
- Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks☆17Updated 5 years ago
- Code for "Label-Consistent Backdoor Attacks"☆49Updated 4 years ago
- A minimal PyTorch implementation of Label-Consistent Backdoor Attacks☆27Updated 3 years ago
- A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"☆53Updated 5 years ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆85Updated 3 years ago
- A unified benchmark problem for data poisoning attacks☆151Updated last year
- This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…☆118Updated 2 years ago
- The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749☆31Updated 4 years ago
- A simple implementation of BadNets on MNIST☆32Updated 5 years ago
- Code for "Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment" (CCS 2019)☆46Updated 4 years ago
- ☆91Updated 4 years ago
- Anti-Backdoor learning (NeurIPS 2021)☆78Updated last year
- ☆79Updated 3 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆44Updated 4 years ago
- ☆40Updated last year
- Code for "PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier"☆35Updated last year
- ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)☆32Updated 4 years ago
- Official Tensorflow implementation for "Improving Adversarial Transferability via Neuron Attribution-based Attacks" (CVPR 2022)☆33Updated last year
- Invisible Backdoor Attack with Sample-Specific Triggers☆91Updated 2 years ago
- Code release for DeepJudge (S&P'22)☆51Updated last year
- Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems☆24Updated 3 years ago
- ☆62Updated 4 years ago
- Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching☆94Updated 3 months ago