pralab / secml-torchLinks
SecML-Torch: A Library for Robustness Evaluation of Deep Learning Models
☆67Updated last week
Alternatives and similar repositories for secml-torch
Users that are interested in secml-torch are comparing it to the libraries listed below
Sorting:
- A Python library for Secure and Explainable Machine Learning☆185Updated 2 months ago
- PhD/MSc course on Machine Learning Security (Univ. Cagliari)☆211Updated 2 months ago
- A curated list of academic events on AI Security & Privacy☆160Updated last year
- This repository contains code and data of the paper **On the Limitations of Continual Learning for Malware Classification**, accepted to …☆19Updated last year
- Attack benchmark repository☆15Updated 2 months ago
- Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers☆59Updated 3 years ago
- ☆147Updated 10 months ago
- An awesome list of papers on privacy attacks against machine learning☆620Updated last year
- A curated list of Meachine learning Security & Privacy papers published in security top-4 conferences (IEEE S&P, ACM CCS, USENIX Security…☆286Updated 9 months ago
- A repository to quickly generate synthetic data and associated trojaned deep learning models☆79Updated 2 years ago
- TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classifica…☆300Updated this week
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆674Updated 4 months ago
- Code for ML Doctor☆91Updated last year
- A library for running membership inference attacks against ML models☆149Updated 2 years ago
- 💡 Adversarial attacks on explanations and how to defend them☆325Updated 9 months ago
- ☆66Updated 4 years ago
- ☆349Updated 2 months ago
- ☆128Updated 3 years ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆128Updated last year
- ☆14Updated last month
- A unified benchmark problem for data poisoning attacks☆157Updated last year
- Implementations of data poisoning attacks against neural networks and related defenses.☆91Updated last year
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆84Updated 3 years ago
- A curated list of papers & resources on backdoor attacks and defenses in deep learning.☆216Updated last year
- Library for training globally-robust neural networks.☆29Updated 3 weeks ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆86Updated 4 years ago
- Code implementation of the paper "Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks", at IEEE Security and P…☆296Updated 5 years ago
- [arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"☆190Updated 3 months ago
- ☆24Updated last year
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)☆47Updated 6 years ago