{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"secml-torch","owner":"pralab","isFork":false,"description":"SecML-Torch: A Library for Robustness Evaluation of Deep Learning Models","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":6,"starsCount":19,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-09-28T08:49:10.740Z"}},{"type":"Public","name":"ModSec-Learn-dataset","owner":"pralab","isFork":false,"description":"Dataset used for paper: Boosting ModSecurity with Machine Learning ","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-09-23T11:43:58.155Z"}},{"type":"Public","name":"AdversarialPruningBenchmark","owner":"pralab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":7,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-09-05T19:01:29.321Z"}},{"type":"Public","name":"android-detectors","owner":"pralab","isFork":false,"description":"End-to-end implementation of ML-based Android malware detectors.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":7,"forksCount":4,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-09-03T14:29:08.391Z"}},{"type":"Public","name":"elsa-cybersecurity","owner":"pralab","isFork":false,"description":"Official repository for the Cybersecurity Use Case of ELSA EU Project","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":5,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-09-03T13:07:45.085Z"}},{"type":"Public","name":"secml_malware","owner":"pralab","isFork":false,"description":"Create adversarial attacks against machine learning Windows malware detectors","allTopics":["security","machine-learning","attack","infosec","adversarial-machine-learning","python"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":10,"starsCount":203,"forksCount":45,"license":"GNU General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-16T15:44:21.966Z"}},{"type":"Public","name":"mlsec","owner":"pralab","isFork":false,"description":"MLSec Laboratory","allTopics":[],"primaryLanguage":{"name":"SCSS","color":"#c6538c"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-26T15:38:15.287Z"}},{"type":"Public","name":"HO-FMN","owner":"pralab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":9,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-20T09:13:38.275Z"}},{"type":"Public","name":"secml","owner":"pralab","isFork":false,"description":"A Python library for Secure and Explainable Machine Learning","allTopics":["python","security","algorithms","tensorflow","python-library","artificial-intelligence","sparse-data","neural-networks","matplotlib","interpretability","adversarial-machine-learning","cleverhans","foolbox","explainable-machine-learning","secml","attack-algorithms","poisoning-attacks","evasion-attacks","machine-learning","pytorch"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":6,"starsCount":145,"forksCount":25,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T20:25:34.004Z"}},{"type":"Public","name":"modsec-learn","owner":"pralab","isFork":false,"description":"Experiments for paper ModSec-Learn: Boosting ModSecurity with Machine Learning","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":6,"forksCount":2,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-12T10:38:27.972Z"}},{"type":"Public","name":"ImageNet-Patch","owner":"pralab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":1,"starsCount":37,"forksCount":8,"license":"GNU General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-01-25T14:01:15.681Z"}},{"type":"Public","name":"toucanstrike","owner":"pralab","isFork":false,"description":"Command line tool for launching attacks against Machine Learning Malware detectors.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":1,"starsCount":17,"forksCount":4,"license":"GNU General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-06-18T20:24:19.615Z"}},{"type":"Public","name":"IndicatorsOfAttackFailure","owner":"pralab","isFork":false,"description":"Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":17,"forksCount":4,"license":"GNU General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-05-23T13:53:18.352Z"}},{"type":"Public","name":"Fast-Minimum-Norm-FMN-Attack","owner":"pralab","isFork":false,"description":"Foolbox implementation for NeurIPS 2021 Paper: \"Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints\".","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":26,"forksCount":4,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-03-16T11:31:32.098Z"}},{"type":"Public","name":"pandavision","owner":"pralab","isFork":true,"description":"Security evaluation module with onnx, pytorch, and SecML.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":2,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-11-15T14:06:45.159Z"}},{"type":"Public","name":"counterfit","owner":"pralab","isFork":true,"description":"a CLI that provides a generic automation layer for assessing the security of ML models","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":128,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-06-25T14:06:14.956Z"}},{"type":"Public","name":"secml-zoo","owner":"pralab","isFork":false,"description":"SecML models and databases zoo.","allTopics":["python","security","machine-learning","models","pytorch","datasets","pretrained"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":3,"forksCount":0,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-06-04T15:54:43.666Z"}}],"repositoryCount":17,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"pralab repositories"}