carlini / pycallcc

Related projects: ⓘ

• google-deepmind / jax_privacy
  Algorithms for Privacy-Preserving Machine Learning in JAX
  ☆87Updated 3 months ago
• LTS4 / neural-anisotropy-directions
  Source code for "Neural Anisotropy Directions"
  ☆15Updated 3 years ago
• jagielski / auditing-dpsgd
  Code for Auditing DPSGD
  ☆30Updated 2 years ago
• davidstutz / confidence-calibrated-adversarial-training
  Implementation of Confidence-Calibrated Adversarial Training (CCAT).
  ☆45Updated 4 years ago
• MadryLab / BREEDS-Benchmarks
  ☆55Updated 4 years ago
• mmazeika / tdc-starter-kit
  Starter kit and data loading code for the Trojan Detection Challenge NeurIPS 2022 competition
  ☆33Updated last year
• harshays / simplicitybiaspitfalls
  The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)
  ☆39Updated 7 months ago
• cassidylaidlaw / perceptual-advex
  Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".
  ☆54Updated 2 years ago
• wronnyhuang / gen-viz
  Code for the paper "Understanding Generalization through Visualizations"
  ☆60Updated 3 years ago
• yangarbiter / robust-local-lipschitz
  A Closer Look at Accuracy vs. Robustness
  ☆87Updated 3 years ago
• yjhuangcd / local-lipschitz
  Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).
  ☆22Updated 2 years ago
• eth-sri / colt
  Convex Layerwise Adversarial Training (COLT)
  ☆29Updated 3 years ago
• uclaml / RayS
  RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)
  ☆54Updated 3 years ago
• shizhouxing / Fast-Certified-Robust-Training
  [NeurIPS 2021] Fast Certified Robust Training with Short Warmup
  ☆23Updated last year
• tonyduan / rs4a
  Randomized Smoothing of All Shapes and Sizes (ICML 2020).
  ☆50Updated 4 years ago
• locuslab / robust_union
  [ICML'20] Multi Steepest Descent (MSD) for robustness against the union of multiple perturbation models.
  ☆25Updated last month
• GuillaumeLeclerc / fastargs
  Python library for argument and configuration management
  ☆53Updated last year
• ddkang / advex-uar
  Code for "Testing Robustness Against Unforeseen Adversaries"
  ☆79Updated last month
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆42Updated last year
• google-research / heldout-influence-estimation
  ☆61Updated 3 years ago
• wielandbrendel / adaptive_attacks_paper
  Code for "On Adaptive Attacks to Adversarial Example Defenses"
  ☆84Updated 3 years ago
• locuslab / projected_sinkhorn
  ☆85Updated last month
• MadryLab / DebuggableDeepNetworks
  ☆37Updated 3 years ago
• dedeswim / vits-robustness-torch
  Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]
  ☆52Updated last year
• facebookresearch / tan
  Computationally friendly hyper-parameter search with DP-SGD
  ☆21Updated last year
• microsoft / denoised-smoothing
  Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs
  ☆96Updated 3 years ago
• locuslab / robust_overfitting
  ☆153Updated 3 years ago
• AI-secure / VeriGauge
  A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]
  ☆87Updated last year
• singlasahil14 / salient_imagenet
  Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?
  ☆35Updated 2 years ago
• locuslab / perturbation_learning
  Learning perturbation sets for robust machine learning
  ☆64Updated 3 years ago