spring-epfl / trickster

Related projects ⓘ

Alternatives and complementary repositories for trickster

• bogdan-kulynych / textfool
  Plausible looking adversarial examples for text classification
  ☆92Updated 5 years ago
• Eric-Wallace / data-poisoning
  Concealed Data Poisoning Attacks on NLP Models
  ☆21Updated last year
• robust-ml / robustml
  Interfaces for defining Robust ML models and precisely specifying the threat models under which they claim to be secure.
  ☆62Updated 5 years ago
• neulab / RIPPLe
  Code for the paper "Weight Poisoning Attacks on Pre-trained Models" (ACL 2020)
  ☆138Updated 3 years ago
• max-andr / provably-robust-boosting
  Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]
  ☆50Updated 4 years ago
• QData / deepWordBug
  CodeBase for Paper: "Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers", / Interactive Demo @
  ☆73Updated last year
• robust-ml / robust-ml.github.io
  A community-run reference for state-of-the-art adversarial example defenses.
  ☆49Updated last month
• andrewilyas / ens-adv-train-attack
  Circumventing the defense in "Ensemble Adversarial Training: Attacks and Defenses"
  ☆39Updated 6 years ago
• Eric-Wallace / adversarial-mt
  Code for "Imitation Attacks and Defenses for Black-box Machine Translations Systems"
  ☆36Updated 4 years ago
• ddkang / advex-uar
  Code for "Testing Robustness Against Unforeseen Adversaries"
  ☆80Updated 3 months ago
• ysharma1126 / EAD_Attack
  EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
  ☆38Updated 6 years ago
• tcwangshiqi-columbia / Interval-Attack
  Interval attacks (adversarial ML)
  ☆21Updated 5 years ago
• carlini / nn_breaking_detection
  Code corresponding to the paper "Adversarial Examples are not Easily Detected..."
  ☆84Updated 7 years ago
• vikramnitin9 / adversarial-learning-literature
  ☆37Updated 4 years ago
• kohpangwei / data-poisoning-release
  ☆32Updated 6 years ago
• deepgenerativeclassifier / DeepBayes
  Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"
  ☆23Updated 5 years ago
• max-andr / provable-robustness-max-linear-regions
  Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]
  ☆31Updated 4 years ago
• csong27 / collision-bert
  ☆28Updated 4 years ago
• Kritikalcoder / DP-primer
  A concise primer on Differential Privacy
  ☆28Updated 4 years ago
• IBM / ZOO-Attack
  Codes for reproducing the black-box adversarial attacks in “ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Network…
  ☆55Updated 5 years ago
• cecilialeiqi / adversarial_text
  to add
  ☆20Updated 5 years ago
• Hazelsuko07 / TextHide
  TextHide: Tackling Data Privacy in Language Understanding Tasks
  ☆30Updated 3 years ago
• uvasrg / FeatureSqueezing
  Detecting Adversarial Examples in Deep Neural Networks
  ☆66Updated 6 years ago
• realityengines / post_hoc_debiasing
  ☆17Updated 4 years ago
• mzweilin / EvadeML-Zoo
  Benchmarking and Visualization Tool for Adversarial Machine Learning
  ☆186Updated last year
• QData / Reevaluating-NLP-Adversarial-Examples
  EMNLP Findings 2020: Reevaluating Adversarial Examples in Natural Language
  ☆7Updated 3 years ago
• google-research / selfstudy-adversarial-robustness
  ☆121Updated 2 years ago
• swabhs / notebooks_for_aflite
  IPython notebook with synthetic experiments for AFLite, based on the ICML 2020 paper, "Adversarial Filters of Dataset Biases".
  ☆16Updated 4 years ago
• QData / AdversarialDNN-Playground
  VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo
  ☆130Updated last year
• ebagdasa / differential-privacy-vs-fairness
  Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19
  ☆34Updated 3 years ago