spring-epfl / tricksterLinks
Library and experiments for attacking machine learning in discrete domains
☆47Updated 2 years ago
Alternatives and similar repositories for trickster
Users that are interested in trickster are comparing it to the libraries listed below
Sorting:
- Plausible looking adversarial examples for text classification☆94Updated 6 years ago
- Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]☆50Updated 5 years ago
- Code for the paper "Weight Poisoning Attacks on Pre-trained Models" (ACL 2020)☆143Updated 2 months ago
- CodeBase for Paper: "Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers", / Interactive Demo @☆79Updated 2 years ago
- Concealed Data Poisoning Attacks on NLP Models☆21Updated 2 years ago
- to add☆20Updated 6 years ago
- Implementation code for the paper "Generating Natural Language Adversarial Examples"☆170Updated 6 years ago
- ☆37Updated 5 years ago
- To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective t…☆177Updated 2 years ago
- Code corresponding to the paper "Adversarial Examples are not Easily Detected..."☆88Updated 8 years ago
- Code for "Imitation Attacks and Defenses for Black-box Machine Translations Systems"☆35Updated 5 years ago
- Interfaces for defining Robust ML models and precisely specifying the threat models under which they claim to be secure.☆62Updated 6 years ago
- LaTeX source for the paper "On Evaluating Adversarial Robustness"☆256Updated 4 years ago
- ☆129Updated 3 years ago
- A community-run reference for state-of-the-art adversarial example defenses.☆50Updated last year
- Code for "Testing Robustness Against Unforeseen Adversaries"☆80Updated last year
- Comparing fairness-aware machine learning techniques.☆160Updated 2 years ago
- The code reproduces the results of the experiments in the paper. In particular, it performs experiments in which machine-learning models …☆20Updated 4 years ago
- Generating Natural Adversarial Examples, ICLR 2018☆143Updated 7 years ago
- [ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples☆67Updated 4 months ago
- VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo☆129Updated 2 years ago
- ☆33Updated 8 years ago
- Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)☆56Updated 4 years ago
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆228Updated 6 years ago
- Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …☆103Updated 6 years ago
- Blind Justice Code for the paper "Blind Justice: Fairness with Encrypted Sensitive Attributes", ICML 2018☆14Updated 6 years ago
- Circumventing the defense in "Ensemble Adversarial Training: Attacks and Defenses"☆38Updated 7 years ago
- Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)☆111Updated 7 years ago
- Generate adversarial text via gradient methods☆30Updated 6 years ago
- A curated list of awesome resources for adversarial examples in deep learning☆265Updated 4 years ago