Guo-Yunzhe / Adversarial_Learning_PaperLinks
Paper Collection of Adversarial Machine Learning
☆31Updated 5 years ago
Alternatives and similar repositories for Adversarial_Learning_Paper
Users that are interested in Adversarial_Learning_Paper are comparing it to the libraries listed below
Sorting:
- A paper summary of Backdoor Attack against Neural Network☆13Updated 5 years ago
- Benchmarking and Visualization Tool for Adversarial Machine Learning☆187Updated 2 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆44Updated 5 years ago
- 对抗样本（Adversarial Examples）和投毒攻击（Poisoning Attacks）相关资料☆117Updated 6 years ago
- Code for Machine Learning Models that Remember Too Much (in CCS 2017)☆30Updated 7 years ago
- Tensorflow implementation of Generating Adversarial Examples with Adversarial Networks☆43Updated 6 years ago
- Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adve…☆98Updated 4 years ago
- For Competition on Adversarial Attacks and Defenses 2018☆40Updated 6 years ago
- ☆79Updated 5 years ago
- DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model☆216Updated 6 years ago
- Attacking a dog vs fish classification that uses transfer learning inceptionV3☆70Updated 7 years ago
- Code for attacking state-of-the-art face-recognition system from our paper: M. Sharif, S. Bhagavatula, L. Bauer, M. Reiter. "Accessorize …☆62Updated 6 years ago
- ☆99Updated 4 years ago
- Simple pytorch implementation of FGSM and I-FGSM☆290Updated 7 years ago
- ☆146Updated 9 months ago
- Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Counte…☆84Updated 2 years ago
- This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"☆57Updated 8 months ago
- Code implementation of the paper "Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks", at IEEE Security and P…☆295Updated 5 years ago
- Code for "On the Trade-off between Adversarial and Backdoor Robustness" (NIPS 2020)☆17Updated 4 years ago
- Code for "Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment" (CCS 2019)☆47Updated 5 years ago
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆84Updated 3 years ago
- Code for "Black-box Adversarial Attacks with Limited Queries and Information" (http://arxiv.org/abs/1804.08598)☆179Updated 3 years ago
- ☆66Updated 5 years ago
- MagNet: a Two-Pronged Defense against Adversarial Examples☆100Updated 6 years ago
- ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation☆52Updated 3 years ago
- A simple implementation of BadNets on MNIST☆33Updated 5 years ago
- This is for the papers I review every week☆15Updated 5 years ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆193Updated 7 years ago
- Implementation of AGNs, proposed in: M. Sharif, S. Bhagavatula, L. Bauer, M. Reiter. "A General Framework for Adversarial Examples with O…☆37Updated 4 years ago
- ☆25Updated 6 years ago