Coder Social home page Coder Social logo

awesome-fools's Introduction

Awesome Fools Awesome

A curated list of adversarial samples. Inspired by awesome-deep-vision, awesome-adversarial-machine-learning, awesome-deep-learning-papers, and awesome-architecture-search.

Please feel free to pull requests or open an issue to add papers.

Done:

  1. Adversarial examples in the physical world (ICLR2017 Workshop)

  2. Ian Speech on CS231n

  3. DeepFool: a simple and accurate method to fool deep neural networks (CVPR2016) The idea in this work is close to the orginal idea. Loop until the predicted label change.

  4. Learning with a strong adversary (rejected by ICLR2016?) Apply the spirit of GAN to optimization.

  5. Decision-based Adversarial Attacks: Reliable Attacks Against Black-box Machine Learning Models (ICLR2018) [code]

  6. The limitations of deep learning in adversarial settings (ESSP) (European Symposium on Security & Privacy) Propose SaliencyMapAttack. Do not use loss function.

  7. Generating Natural Adversarial Examples (ICLR2018)

  8. Simple Black-Box Adversarial Perturbations for Deep Networksh One pixel attack (CVPR17 Workshop)

  9. Boosting Adversarial Attacks with Momentum (CVPR2018 Spotlight)

  10. Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition (CCS2016) same with the least-likely class

  11. Adversarial examples for semantic image segmentation (ICLR2017 Workshop) same with the classification case.

  12. Explaining and Harnessing Adversarial Examples (ICLR2015) Fast Gradient Sign Method

  13. Open Set Adversarial Examples Attack Image Retrieval

To Read:

  1. Exploring the space of adversarial images (IJCNN2016)

  2. Towards Deep Learning Models Resistant to Adversarial Attacks (ICLR2018)

  3. Stochastic Activation Pruning for Robust Adversarial Defense (ICLR2018)

  4. Mitigating Adversarial Effects Through Randomization (ICLR2018)

  5. Ensemble Adversarial Training: Attacks and Defenses (ICLR2018)

Links

  1. https://bair.berkeley.edu/blog/2017/12/30/yolo-attack/

awesome-fools's People

Contributors

layumi avatar

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.