Official repository for "Bridging Adversarial Robustness and Gradient Interpretability".
☆28May 2, 2019Updated 7 years ago
Alternatives and similar repositories for Robustness-and-Interpretability
Users that are interested in Robustness-and-Interpretability are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- CVPR 2019 paper "Disentangling Adversarial Robustness and Generalization".☆15Oct 28, 2019Updated 6 years ago
- A tensorflow implementation and improvement of CVPR 2019 paper 'ComDefend'.☆15Apr 13, 2020Updated 6 years ago
- Supplementary Material to accompany the paper, DJ Warne, SA Sisson, C Drovandi (2019) Acceleration of expensive computations in Bayesian…☆13Oct 23, 2020Updated 5 years ago
- Get started with Swift for TensorFlow by examples☆30Jun 3, 2019Updated 7 years ago
- Repository containing code for getting statistical guarantees on properties of BNNs☆13Apr 24, 2019Updated 7 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- VGG16 architecture with BatchNorm☆14Apr 4, 2017Updated 9 years ago
- Codes for reproducing the experimental results in "Proper Network Interpretability Helps Adversarial Robustness in Classification", publi…☆13Jun 29, 2020Updated 6 years ago
- Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification☆23Nov 21, 2019Updated 6 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆42Aug 7, 2018Updated 8 years ago
- TensorFlow Implementation of Several Zero-Shot Image Style Transfer Methods☆15Sep 30, 2017Updated 8 years ago
- Official repository for "Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps".☆34Sep 13, 2019Updated 7 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Apr 7, 2021Updated 5 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆140Mar 30, 2020Updated 6 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆145Feb 27, 2020Updated 6 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Layerwise Relevance Propagation with Deep Taylor Series in TensorFlow☆72Jan 22, 2017Updated 9 years ago
- Code and data of the "Multi-domain adversarial learning" paper, Schoenauer-Sebag et al., accepted at ICLR 2019☆38Jan 20, 2021Updated 5 years ago
- code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-☆29Oct 17, 2018Updated 7 years ago
- AutoGrow: Automatic Layer Growing in Deep Convolutional Networks (KDD 2020)☆40Jun 10, 2019Updated 7 years ago
- Visual Explanation using Uncertainty based Class Activation Maps☆23Jan 27, 2020Updated 6 years ago
- Visualization tool for CUB-200-2011 part keypoints (Wah et al.).☆10Sep 17, 2021Updated 5 years ago
- Code for BlockSwap (ICLR 2020).☆33Mar 25, 2021Updated 5 years ago
- Cynical data selection☆20Jan 16, 2021Updated 5 years ago
- Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks☆35Mar 24, 2018Updated 8 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Code for GRAPHITE: Generating Automatic Physical Examples for Machine-Learning Attacks on Computer Vision Systems☆12Apr 19, 2024Updated 2 years ago
- CVPR'19 experiments with (on-manifold) adversarial examples.☆43Feb 27, 2020Updated 6 years ago
- ☆18Jun 10, 2020Updated 6 years ago
- Startlink Update Note☆11Mar 6, 2022Updated 4 years ago
- Normalized Wasserstein for Mixture Distributions☆11Mar 24, 2023Updated 3 years ago
- ☆13Apr 22, 2023Updated 3 years ago
- A Python module for mapping multiple high-dimensional datasets into a common low-dimensional space.☆10Mar 29, 2018Updated 8 years ago
- Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.☆47Sep 16, 2019Updated 7 years ago
- ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)☆37Aug 17, 2020Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Computing various norms/measures on over-parametrized neural networks☆50Nov 26, 2018Updated 7 years ago
- ☆13Mar 30, 2021Updated 5 years ago
- ☆17Aug 29, 2019Updated 7 years ago
- ☆11Oct 17, 2024Updated last year
- [NeurIPS 2019 Spotlight] High dimensional mean estimation and outlier detection in nearly-linear time.☆27Oct 11, 2019Updated 6 years ago
- ☆16Oct 3, 2022Updated 3 years ago
- plots krautchan /int/ post locations on a worldmap☆16Jun 18, 2012Updated 14 years ago