Official implementation for paper: A New Defense Against Adversarial Images: Turning a Weakness into a Strength
☆38Feb 15, 2020Updated 6 years ago
Alternatives and similar repositories for TurningWeaknessIntoStrength
Users that are interested in TurningWeaknessIntoStrength are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Distributed transactions☆13Sep 19, 2019Updated 6 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆46Dec 8, 2022Updated 3 years ago
- This is the official repository for the paper "Laplacian Features for Learning with Hyperbolic Space"☆14Aug 8, 2022Updated 4 years ago
- Repo for the paper "Bounding Training Data Reconstruction in Private (Deep) Learning".☆12Jun 16, 2023Updated 3 years ago
- Code for the paper "Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation" by Alexander Levine and Soheil Feizi.☆10Aug 22, 2022Updated 4 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- [CVPR 2022 oral] Subspace Adversarial Training☆28Apr 27, 2023Updated 3 years ago
- [ICCV'19] Improving Adversarial Robustness via Guided Complement Entropy☆39Aug 2, 2019Updated 7 years ago
- Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"☆137Nov 25, 2020Updated 5 years ago
- Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"☆129Oct 24, 2019Updated 6 years ago
- PDF Malware Parser☆21Jun 3, 2016Updated 10 years ago
- Deep Autoencoding Predictive Components☆10Mar 4, 2021Updated 5 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆136Dec 8, 2022Updated 3 years ago
- Code implementing the experiments described in the NeurIPS 2018 paper "With Friends Like These, Who Needs Adversaries?".☆13Sep 11, 2020Updated 5 years ago
- Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)☆112Feb 14, 2018Updated 8 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.
- Instructions for using the graphite cluster☆22Apr 30, 2019Updated 7 years ago
- ☆21Jul 25, 2024Updated 2 years ago
- Image Super-Resolution as a Defense Against Adversarial Attacks☆91Jan 17, 2019Updated 7 years ago
- [ICCV 2019] Enhancing Adversarial Example Transferability with an Intermediate Level Attack (https://arxiv.org/abs/1907.10823)☆80Oct 24, 2019Updated 6 years ago
- [CVPR'19] Trust Region Based Adversarial Attack☆21Dec 11, 2020Updated 5 years ago
- Code for "Adversarial Defense by Stratified Convolutional Sparse Coding"☆19Jul 27, 2019Updated 7 years ago
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆229Nov 9, 2019Updated 6 years ago
- Source code for Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses (ECCV 2020)☆42Apr 2, 2019Updated 7 years ago
- Perception Matters: Exploring Imperceptible and Transferable Anti-forensics for GAN-generated Fake Face Imagery Detection☆11Jan 23, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A Game-Based Approximate Verification of Deep Neural Networks with Provable Guarantees☆20Dec 16, 2020Updated 5 years ago
- Analysis of Adversarial Logit Pairing☆61Aug 13, 2018Updated 8 years ago
- Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters☆31Nov 21, 2020Updated 5 years ago
- ☆10Jun 29, 2021Updated 5 years ago
- Detection of adversarial examples using influence functions and nearest neighbors☆37Nov 22, 2022Updated 3 years ago
- Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"☆201Mar 27, 2023Updated 3 years ago
- Code for "Testing Robustness Against Unforeseen Adversaries"☆80Jul 25, 2024Updated 2 years ago
- Code implementation of the paper "With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning", at USENIX …☆19Nov 28, 2018Updated 7 years ago
- Pytorch implementation of Wasserstein Auto-Encoders☆25Feb 7, 2018Updated 8 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Unofficial implementation for the paper 'Improving Diffusion Models for Inverse Problems using Manifold Constraints'[https://arxiv.org/ab…☆12Aug 21, 2022Updated 4 years ago
- Distribution-Aware Prompt Tuning for Vision-Language Models (ICCV 2023)☆45Dec 11, 2023Updated 2 years ago
- A community-run reference for state-of-the-art adversarial example defenses.☆52Oct 13, 2024Updated last year
- Open-source simulator for autonomous driving research.☆15Feb 2, 2019Updated 7 years ago
- ☆35Dec 9, 2020Updated 5 years ago
- Self-supervised Learning of Point Clouds via Orientation Estimation (3DV 2020)☆16Aug 6, 2021Updated 5 years ago
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Sep 13, 2020Updated 5 years ago