mmalekzadeh / honest-but-curious-nets

Related projects: ⓘ

• TrustAIResearch / MLHospital
  ☆42Updated last year
• suyeecav / Hybrid-Attack
  ☆22Updated last year
• IBM / URET
  Universal Robustness Evaluation Toolkit (for Evasion)
  ☆29Updated 6 months ago
• ZiangYan / pda.pytorch
  Implementation of our ICLR 2021 paper: Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples.
  ☆11Updated 3 years ago
• AI-secure / Meta-Nerual-Trojan-Detection
  ☆60Updated 3 years ago
• jinyuan-jia / Certify_Topk
  ☆11Updated 4 years ago
• cleverhans-lab / model-extraction-iclr
  ☆12Updated 2 years ago
• AI-secure / Uncovering-the-Connections-BetweenAdversarial-Transferability-and-Knowledge-Transferability
  code for ICML 2021 paper in which we explore the relationship between adversarial transferability and knowledge transferability.
  ☆17Updated last year
• SewoongLab / spectre-defense
  Defending Against Backdoor Attacks Using Robust Covariance Estimation
  ☆20Updated 3 years ago
• locuslab / breaking-poisoned-classifier
  Code for paper "Poisoned classifiers are not only backdoored, they are fundamentally broken"
  ☆24Updated 2 years ago
• hsndbk4 / ARC
  Code for the paper titled "Adversarial Vulnerability of Randomized Ensembles" (ICML 2022).
  ☆10Updated 2 years ago
• trx14 / TrojanNet
  ☆82Updated 10 months ago
• um-dsp / Morphence
  Morphence: An implementation of a moving target defense against adversarial example attacks demonstrated for image classification models …
  ☆15Updated last month
• xinleihe / Semi-Leak
  ☆11Updated 2 years ago
• DennisLiu2022 / Membership-Inference-Attacks-by-Exploiting-Loss-Trajectory
  ☆23Updated last year
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆84Updated last month
• shrezaei / MI-Attack
  ☆31Updated 2 weeks ago
• xlhex / extract_and_transfer
  ☆9Updated 3 years ago
• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆30Updated last year
• pralab / IndicatorsOfAttackFailure
  Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples
  ☆17Updated 2 years ago
• google-deepmind / informed_adversary_mnist_reconstruction
  ☆16Updated 2 years ago
• cleverhans-lab / entangled-watermark
  ☆44Updated 3 years ago
• softsys4ai / athena
  Athena: A Framework for Defending Machine Learning Systems Against Adversarial Attacks
  ☆41Updated 2 years ago
• Secure-AI-Systems-Group / Qu-ANTI-zation
  [NeurIPS 2021] Source code for the paper "Qu-ANTI-zation: Exploiting Neural Network Quantization for Achieving Adversarial Outcomes"
  ☆12Updated 2 years ago
• JunfengGo / AEVA-Blackbox-Backdoor-Detection-main
  ☆25Updated last year
• wanlunsec / Beatrix
  ☆20Updated last year
• zlh-thu / StealingVerification
  Defending against Model Stealing via Verifying Embedded External Features
  ☆31Updated 2 years ago
• lmunoz-gonzalez / Poisoning-Attacks-with-Back-gradient-Optimization
  Example of the attack described in the paper "Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization"
  ☆22Updated 4 years ago
• eth-sri / adaptive-auto-attack
  ☆23Updated 2 years ago
• MadryLab / backdoor_data_poisoning
  ☆25Updated 5 years ago